20414 Mongodb Jobs - Page 11

About the Role: Join Mallow Technologies, a distinguished custom software development company, where we specialize in a wide range of cutting-edge software development areas. We take immense pride in crafting top-notch mobile and web applications that bring our clients" visions to life. At Mallow, our Python team is committed to delivering excellence, with a particular emphasis on their contributions to ML projects. We are on the lookout for a highly proficient Python developer with a minimum of 3 years of hands-on experience to become a valuable addition to our team. The perfect candidate will be deeply passionate about coding, possess exceptional problem-solving abilities, and demonstrate unwavering dedication to achieving business goals with an unwavering emphasis on quality. In this role, you will actively engage in the process of designing, constructing, and maintaining efficient, reusable, and dependable Python code. Skill Requirements Must have: - Demonstrate strong problem-solving capabilities. - Proficient in Python 3. - Ability to design, develop, and uphold efficient, reusable, and dependable Python code. - Familiarity with frameworks like Django, Flask, FastAPI, or equivalent. - Adherence to best practices in Python, Django, Flask, FastAPI, etc. - Sound knowledge of databases, encompassing relational databases (e.g., PostgreSQL, MySQL) or NoSQL databases (e.g., MongoDB). - Experience in developing RESTful APIs utilizing frameworks like DRF, FastAPI, etc. - Proficiency in unit testing and debugging software applications using Python testing framework tools such as PyTest, PyUnit, unittest, etc. - Understanding of web servers (ASGI, WSGI), load balancers, deployment processes/activities, queuing mechanisms, and background tasks. - Excellent communication skills. - Proficiency in utilizing AI tools such as Cursor, Claude Code, etc. - Proficiency in monitoring and enhancing application performance. - Proficiency in deploying applications using platforms like AWS, Digital Ocean, Heroku, etc. Good to have: - Experience in GenAI (LLM, AI Agents, etc.). - Familiarity with Python libraries like Pandas, NumPy, etc. - Knowledge of front-end interface technologies such as HTML, CSS, JS, etc. Job Types: Full-time, Permanent Benefits: - Cell phone reimbursement - Flexible schedule - Health insurance - Internet reimbursement - Provident Fund Work Location: In person,

We have an urgent opening for the position of Couch DB/ Senior Couch DB/ NoSQL Database Expert for a Leading Multi-National Company in Jaipur (Rajasthan) location. The ideal candidate should be skilled in Java & MongoDB and willing to learn Couch DB. Candidates with 2 to 17 years of experience are welcome to apply for this position. The salary offered is the best in the industry. As a Couch DB/ Sr. Couch DB/ NoSql Database Expert, you will be responsible for NoSQL expertise, database designing, and analytics. It is mandatory to possess very good communication skills and very strong programming skills. We are specifically seeking core programmers with a proven track record in SQL programming. The ideal candidate should have expertise in NoSQL databases such as MongoDB, Couchbase DB, and Cassandra. Experience in supporting production software with the database is essential. Additionally, a strong background in SQL programming and proficiency in database designing (schema designing) are required for this role.,

The Applications Development Senior Manager is a senior management level position responsible for accomplishing results through the management of a team or department in an effort to establish and implement new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to drive applications systems analysis and programming activities. Responsibilities: Manage one or more Applications Development teams in an effort to accomplish established goals as well as conduct personnel duties for team (e.g. performance evaluations, hiring and disciplinary actions) Utilize in-depth knowledge and skills across multiple Applications Development areas to provide technical oversight across systems and applications Review and analyze proposed technical solutions for projects Contribute to formulation of strategies for applications development and other functional areas Develop comprehensive knowledge of how areas of business integrate to accomplish business goals Provide evaluative judgment based on analysis of factual data in complicated and unique situations Impact the Applications Development area through monitoring delivery of end results, participate in budget management, and handling day-to-day staff management issues, including resource management and allocation of work within the team/project Ensure essential procedures are followed and contribute to defining standards negotiating with external parties when necessary Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards. Leaderships: Excellent organization skills, attention to detail, and ability to multi-task Demonstrated sense of responsibility and capability to deliver quickly Excellent communication skills. Clearly articulating and documenting technical and functional specifications is a key requirement. Proactive problem-solver Relationship builder and team player Negotiation, difficult conversation management and prioritization skills Flexibility to handle multiple complex projects and changing priorities Excellent verbal, written and interpersonal communication skills Good analytical and business skills Promotes teamwork and builds strong relationships within and across global teams Promotes continuous process improvement especially in code quality, testability & reliability Technical Proficiency: The Senior Technology Lead must be experienced hands-on engineer who is passionate about solving business, customer, and technology problems through innovation and perseverance. Responsible for writing the most mission critical code, design and design reviews, code reviews, and process automation. Ensure on time, on budget, high quality deliveries by self and team. Understand and influence software design & architecture for simplicity, resiliency, and performance. Strong Experience in systems design and development of software applications Experience in Banking Payments Solution development and implementation in large banks. Strong exposure to Java, Spring Framework, Spring Boot, Kafka, MQ, Micro-Service , Oracle, Mongo, Openshift, REST, Maven, Git, JUnit, TDD, Agile, Strong knowledge on CI CD pipeline and exposure to system design with resiliency backed by observability . Having Python skills and GEN AI tools knowledge is plus Strong experience in working with various Payments schemes, and Payments messaging formats such as ISO 8583, ISO 20022, and SWIFT MX messages Strong technical and functional experience in working in Banking domain under the payment space like Domestic (RTGS, GIRO, ACH etc.), International funds transfer, SWIFT/ISO20022 messaging, Currency Foreign Exchange, AML Monitoring, Sanction Screening etc Experience and/or exposure to Digital Asset / Block chain domain is plus Experience in managing and implementing successful projects Leading a team of engineers and take the E2E responsibility of owning the delivery, by properly managing the Jira board at all the times Proven experience of handling the Production Releases and the postproduction support Be hands on the technologies and contribute to the Architecture, Design, Implementation and Pull Request reviews with a good quality ensuring the adequate coverage of Unit Test, Code Coverage, lesser or no code smells fostering a good refactoring, scalability, and maintainability. Stakeholder management and ability to liaise well with the Engineering, QA and Product/Business throughout the SDLC lifecycle. Groom the team on technical, functional and behavioral aspects where needed Be proactive, assertive and a strategic thinker Qualifications: 14+ years of relevant experience in Java & Microservices with commensurate people management experience. Hands-on working experience in Java / Spring / Spring Cloud / Spring Data JPA / Spring Boot Microservices. Strong experience of Microservices, API Development and its Eco-systems. Strong experience on Observability and Monitoring tech stack as well Messaging like Kafka and MQ components Hands-on working experience with Junit, Git, Jenkins, Maven. Should have troubleshooting skills using debuggers, logs, etc. Experience with Openshift, AWS will be added advantage. Implement Unit Testing and TDD to ensure software quality and maintainability. Experience with Docker and Kubernetes. Work proactively & independently to address project requirements, and articulate issues/challenges with enough lead time to address project delivery risks. Code reviews, test case reviews, and ensure code developed meets the requirements. Proficiency in SQL Databases, MongoDB, Oracle, Data Analysis. Experience as Applications Development Manager Experience as senior level in an applications Development role Stakeholder and people management experience Demonstrated leadership skills Proven project management skills Basic knowledge of industry practices and standards Consistently demonstrates clear and concise written and verbal communication Role Responsibilities: Lead Payment modernization for the bank to develop and migrate payment applications on the modernized enterprise application platform. Design, implement, and deploy software components and solve difficult problems generating positive feedback. Effectively coach, help and give feedback to junior team members. Able to work independently and with team(s) to deliver software product successfully. Lead deliveries that are consistently of high quality (secure, testable, maintainable, low-defects, efficient, etc.) and incorporate best practices. Review design and code. Focus on operational excellence, constructively identifying problems, identifying and building solutions, taking on projects that improve software, making it better and easier to maintain. Make improvements to development and testing processes. Education: Bachelor’s degree/University degree or equivalent experience Master’s degree preferred This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

This is a data engineer position - a programmer responsible for the design, development implementation and maintenance of data flow channels and data processing systems that support the collection, storage, batch and real-time processing, and analysis of information in a scalable, repeatable, and secure manner in coordination with the Data & Analytics team. The overall objective is defining optimal solutions to data collection, processing, and warehousing. Must be a Spark Java development expertise in big data processing, Python and Apache spark particularly within banking & finance domain. He/She designs, codes and tests data systems and works on implementing those into the internal infrastructure. Responsibilities: Ensuring high quality software development, with complete documentation and traceability Develop and optimize scalable Spark Java-based data pipelines for processing and analyzing large scale financial data Design and implement distributed computing solutions for risk modeling, pricing and regulatory compliance Ensure efficient data storage and retrieval using Big Data Implement best practices for spark performance tuning including partition, caching and memory management Maintain high code quality through testing, CI/CD pipelines and version control (Git, Jenkins) Work on batch processing frameworks for Market risk analytics Promoting unit/functional testing and code inspection processes Work with business stakeholders and Business Analysts to understand the requirements Work with other data scientists to understand and interpret complex datasets Qualifications: 5- 8 Years of experience in working in data eco systems. 4-5 years of hands-on experience in Hadoop, Scala, Java, Spark, Hive, Kafka, Impala, Unix Scripting and other Big data frameworks. 3+ years of experience with relational SQL and NoSQL databases: Oracle, MongoDB, HBase Strong proficiency in Python and Spark Java with knowledge of core spark concepts (RDDs, Dataframes, Spark Streaming, etc) and Scala and SQL Data Integration, Migration & Large Scale ETL experience (Common ETL platforms such as PySpark/DataStage/AbInitio etc.) - ETL design & build, handling, reconciliation and normalization Data Modeling experience (OLAP, OLTP, Logical/Physical Modeling, Normalization, knowledge on performance tuning) Experienced in working with large and multiple datasets and data warehouses Experience building and optimizing ‘big data’ data pipelines, architectures, and datasets. Strong analytic skills and experience working with unstructured datasets Ability to effectively use complex analytical, interpretive, and problem-solving techniques Experience with Confluent Kafka, Redhat JBPM, CI/CD build pipelines and toolchain – Git, BitBucket, Jira Experience with external cloud platform such as OpenShift, AWS & GCP Experience with container technologies (Docker, Pivotal Cloud Foundry) and supporting frameworks (Kubernetes, OpenShift, Mesos) Experienced in integrating search solution with middleware & distributed messaging - Kafka Highly effective interpersonal and communication skills with tech/non-tech stakeholders. Experienced in software development life cycle and good problem-solving skills. Excellent problem-solving skills and strong mathematical and analytical mindset Ability to work in a fast-paced financial environment Education: Bachelor’s/University degree or equivalent experience in computer science, engineering, or similar domain ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Data Architecture ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

About This Role Wells Fargo is seeking a Senior Software Engineer. In This Role, You Will Lead moderately complex initiatives and deliverables within technical domain environments Contribute to large scale planning of strategies Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals Lead projects and act as an escalation point, provide guidance and direction to less experienced staff Required Qualifications: 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Hands-on experience in full stack Software Enterprise Application design and development. Experience in designing/developing Banking applications is desirable. Expertise in designing and developing enterprise applications using Technology stack like .NET core, C#, web services, Cloud native design/technology, SOAP/REST, Angular, JavaScript/TypeScript/CSS/HTML5/jQuery, Microservices Architecture Patterns, Hibernate, Databases (RDBMS/NOSQL), Event Driven Architecture - Kafka and Devops tools Experience working on SQL server, NOSQL, MongoDB and any one relational DB such as SQL Server Experience in transforming Monolith/legacy applications to Microservice Architecture. Very good knowledge/Experience in designing and developing Scalable, Secure, resilient, Cloud Ready Application using "12 factor principles" to ensure that the application runs on cloud environments (AWS, PCF, Docker, Kubernetes). Good working knowledge and experience in continuous integration frameworks like Jenkins. Good working knowledge and experience in testing, Automation, Selenium, BDD. Desired Qualifications: Container Technologies such as Kubernetes, Docker, PKS Good to have - Certifications on Azure, GCP, PCF Experience using GitHub Copilot and other Gen AI tools for productivity Experience working with LLMs, NLP, Gen AI models Job Expectations: Responsible for designing resilient, scalable and secure platform solutions. Ability to develop and maintain web applications based on .NET framework, latest UI technologies and WCF/Web API services Strong in RDBMS and SQL database concepts to support the team in database archival strategies and performance tuning. Work closely with infrastructure, security, support and architecture groups to sunrise and sunset platform products. Understand the technology touch points for integrating composite service capabilities like Document Understanding, Process Mining etc., with core platform products to provide end-to-end business solution for stakeholders. Work along with RPA vendors, work on product roadmaps, test new releases & rollout upgrades Identify gaps in vendor products, fill gaps with custom engineering and develop tools Identifying and communicating the technical infrastructure requirements. Designing application solutions in accordance with standard automation design principles and standards. Creating and maintaining solution documentation. Supporting existing processes and implementing change requirements as part of a structured change control process. Provide timely responses and solutions to the ongoing challenges. Supporting the business teams during the UAT and rollout phases Providing guidance, training and up-skilling the development team as required Work closely with the development teams to review the deliverables and assist in development, testing, bug-fixes, etc. Conduct code reviews, provide demonstration of the application solution to various stakeholders Deployment of defined front line risk methodology for efficient risk governance. Periodically review infrastructure capacity, plan & scale accordingly. Identifying process improvements and implement possible solutions Posting End Date: 5 Aug 2025 Job posting may come down early due to volume of applicants. We Value Equal Opportunity Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic. Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements. Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process. Applicants With Disabilities To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo . Drug and Alcohol Policy Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more. Wells Fargo Recruitment And Hiring Requirements Third-Party recordings are prohibited unless authorized by Wells Fargo. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process. Reference Number R-477925

The Applications Development Intermediate Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities. Responsibilities: Designing and developing front-end web architecture using Angular 15+ Developing back-end server-side logic using Java 17, Spring Boot, microservices Collaborating with cross-functional teams to define, design, and ship new features Participating in code reviews to ensure high-quality code Troubleshooting and debugging applications Performing unit and integration testing Keeping up-to-date with emerging technologies and trends Qualifications: Bachelor's degree in Computer Science or related field 5+ years of experience as a Full Stack Developer or similar role Strong proficiency in Angular, Java, and Spring Boot Experience with database technologies such as MySQL, MongoDB, or PostgreSQL Familiarity with Agile methodologies Excellent communication and teamwork skills Strong problem-solving abilities Nice to have: Knowledge of containerization technologies like Docker Familiarity with DevOps practices Education: Bachelor’s degree/University degree or equivalent experience This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

The Applications Development Technology Lead Analyst is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to lead applications systems analysis and programming activities. Responsibilities: Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications: Should possess 13 + years of relevant experience in Application Development role Should possess at least 3-4 years of experience Leading, Managing a development team of at least 4/5 individuals Strong hands-on Server-side Java skills and proficiency with concurrent programing In-depth knowledge of JavaScript, Angular, jQuery, and CSS Strong Experience with Oracle and/or MongoDB database, creating SQL queries Experience in Agile, Scrum, and/or Test-Driven Development environment In-depth knowledge about modern application architecture, practical experience with Microservices Framework like Spring Boot, Event Driven Services, Cloud Native Applications Development Practical experience with Web API, Kafka, GIT Experience with IBM WebSphere is a plus Extensive experience system analysis and in programming of software applications Experience in managing and implementing successful projects Subject Matter Expert (SME) in at least one area of Applications Development Data Modeling and data architecture experience is beneficial Ability to adjust priorities quickly as circumstances dictate Demonstrated leadership and project management skills Consistently demonstrates clear and concise written and verbal communication Education: Bachelor’s degree/University degree or equivalent experience Master’s degree preferred ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

Overview TekWissen is a global workforce management provider throughout India and many other countries in the world. The below clientis a global company with shared ideals and a deep sense of family. From our earliest days as a pioneer of modern transportation, we have sought to make the world a better place – one that benefits lives, communities and the planet Job Title: Specialty Development Practitioner Location: Chennai Work Type: Hybrid Position Description Responsible for designing, developing, and maintaining scalable Java applications using Java, J2EE, and Spring Boot frameworks. Implement and manage microservices architecture for efficient, modular, and robust system development. Develop and deploy cloud-native applications on Google Cloud Platform (GCP), leveraging various GCP services for optimized performance and scalability. Design and manage NoSQL databases, particularly MongoDB, ensuring data integrity, security, and high availability. Collaborate with cross-functional teams to define, design, and ship new features in an agile environment. Write clean, maintainable, and well-documented code, following industry best practices and coding standards. Troubleshoot, debug, and optimize application performance for continuous improvement. Mentor junior developers and contribute to knowledge sharing within the team. Experience Range 4 to 10 years in software development with expertise across these technologies. Skills Required Java, J2EE, MongoDB, GCP Skills Preferred Microservices Experience Required 4-10 Education Required Bachelor's Degree TekWissen® Group is an equal opportunity employer supporting workforce diversity.

The Applications Development Intermediate Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities. Responsibilities: Utilize knowledge of applications development procedures and concepts, and basic knowledge of other technical areas to identify and define necessary system enhancements, including using script tools and analyzing/interpreting code Consult with users, clients, and other technology groups on issues, and recommend programming solutions, install, and support customer exposure systems Apply fundamental knowledge of programming languages for design specifications. Analyze applications to identify vulnerabilities and security issues, as well as conduct testing and debugging Serve as advisor or coach to new or lower level analysts Identify problems, analyze information, and make evaluative judgements to recommend and implement solutions Resolve issues by identifying and selecting solutions through the applications of acquired technical experience and guided by precedents Has the ability to operate with a limited level of direct supervision. Can exercise independence of judgement and autonomy. Acts as SME to senior stakeholders and /or other team members. Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications: 4-8 years of relevant experience in the Financial Service industry Intermediate level experience in Applications Development role Consistently demonstrates clear and concise written and verbal communication Demonstrated problem-solving and decision-making skills Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements Education: Bachelor’s degree/University degree or equivalent experience This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. Java Api, MongoDb, Kafka ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

About WorkSpan The next era of growth is being driven by business interoperability. Cloud, genAI, solutions combining services and software- more and more, companies outpace their competition not just through building superior products, but by creating stronger partnerships, paths to market, and better business models for winning together. Cloud providers, service providers, tech partners and resellers are teaming up to win more deals together through co-selling. WorkSpan is building the world’s largest, trusted co-selling network. WorkSpan already has seven of the world’s ten largest partner ecosystems on our platform and $50B of customer pipeline under active management. AWS, Google, Microsoft, MongoDB, PagerDuty, Databricks and dozens of others trust WorkSpan to accelerate and amplify their ecosystem strategies. With a $30M series C and backing from world class investors Insight Partners, Mayfield, and M12, WorkSpan is poised to drive the future of B2B. Come be a part of it. Join Our Team For The Opportunity To Own your results and make a tangible impact on the business Develop a deep understanding of GTM working closely with leadership across sales & marketing Work with driven, passionate people every day Be a part of an ambitious, supportive team on a mission About The Role Describe the role and team the candidate will be joining Key Responsibilities Describe the specific responsibilities and job functions of the role Qualifications Describe the experience and attributes of the ideal candidate

Job Summary: Strong Full Stack developer with 3-5 years of experience & proficiency with .NET Core (ASP.NET Core), SQL (PostgreSQL/SQL Server), NoSQL (MongoDB/CosmosDB), and Restful web services. Experience in building on web technologies and frameworks (React.js / Next.js / TypeScript ) Commitment to collaborative problem-solving, sophisticated design, and quality products is important. Optimizing services for maximum performance Thorough code review and suggest refactoring for better design/performance Knowledge of Cloud platforms like AWS or Azure Familiarity with code versioning tools viz., Git Key Responsibilities and Duties: Collaborate with the team to design and implement the architecture of applications. Collaborate with the team to design and integrate user-facing elements with server-side logic Skills: .NET Core (ASP.NET Core), C# React.js / Next.js Redux Typescript SQL/NoSQL Flask API / Fast API CI/CD, Docker GIT AWS/Azure Joining: We must fill this position urgently. Candidates who can start within a week will be our priority. Pay range: Upto INR 12-18LPA depending on experience

About the Role We’re looking for a Senior Backend Engineer (SDE III) who can architect and build robust backend systems while also managing infrastructure and deployments. This is a hands-on role with full ownership—from API design and database performance to cloud infrastructure and CI/CD automation. You’ll collaborate across product, design, and frontend teams, while also mentoring junior developers and driving best practices. Roles & Responsibilities Design, develop, and maintain scalable backend services using a modern framework of your choice. Build well-structured APIs (REST or GraphQL) with robust authentication, authorization, and versioning. Define and evolve database schemas; optimize queries for performance and reliability. Use NoSQL databases (where required) for high-throughput or flexible data needs. Own infrastructure setup and manage deployments on cloud platforms—there is no separate DevOps team. Automate CI/CD workflows, containerize services using Docker, and maintain deployment pipelines. Ensure system performance, resilience, and observability through caching, queuing, and monitoring. Implement secure coding practices including data encryption, access controls, and input validation. Debug and troubleshoot issues across the stack—from database to API layer to production. Collaborate with cross-functional teams to define integration contracts and delivery timelines. Mentor and guide junior engineers, participate in code reviews, and lead architecture discussions. Required Skills & Experience 5-8 yrs of Strong hands-on experience with any modern backend framework (e.g., Node.js / RoR / Python Django / Spring Boot, etc.). Proficiency in working with relational databases like PostgreSQL or MySQL—schema design, joins, and indexing. Experience with NoSQL databases (e.g., MongoDB, Redis) where applicable to the system design. Strong understanding of API design principles, security (OAuth2, JWT), and error handling strategies. Hands-on experience with cloud infrastructure (AWS /GCP/ Azure) and managing production environments. Proficient in containerization (Docker) and deployment automation using CI/CD pipelines. Experience with background processing, message queues, or event-driven systems. Familiarity with monitoring, logging, and alerting tools to ensure system health and reliability. Understanding of infrastructure management practices—basic scripting, access control, and environment setup. Understanding of the how different frontend / mobile components work and willingness to explore & work in them if required Ability to independently take features from concept to deployment with a focus on reliability and scalability. Experience mentoring developers and contributing to high-level technical decisions. Why Join Us Be a key engineering leader in a product-first company. Take end-to-end ownership—from code to cloud. Work on real-world, scalable systems across diverse domains. Collaborate with a smart, passionate team based in Chennai. Help shape the architecture and engineering culture from the ground up.

Job Title: Senior Manager – Technology Job Type: Full-Time Firstsource is a leading innovator in the technology sector, dedicated to delivering cutting-edge solutions and services. We are seeking a highly skilled and experienced Senior Manager – Technology to join our dynamic team. Job Summary: The Senior Manager – Technology will be responsible for overseeing the implementation of contact center solutions, developing and integrating Generative AI (GenAI) technologies, and writing code modules. The ideal candidate will have a strong background in Python and a proven track record in managing technology projects. Our ideal candidates should be familiar with the software development life cycle (SDLC) from preliminary system analysis to tests and deployment. To build high-quality, innovative, and fully performing software that complies with coding standards and technical design Required Skills Proven experience in implementing contact center solutions. Experience in any one contact center application (Genesys, Five9, Cisco , Avaya , Aws Connect, Twilio etc) Strong troubleshooting skills. Applicant must be able to determine the causes of complex problems Strong proficiency in Python programming. Experience with Generative AI (GenAI) development and integration. Knowledge of TensorFlow, Keras, PyTorch, or Scikit-learn for developing machine learning models. Familiarity with SQL and NoSQL databases, such as PostgreSQL, MySQL, MongoDB, or Redis. Experience with cloud platforms like AWS, Azure, or Google Cloud Expertise in database design, technical documentation Excellent problem-solving and analytical skills. Strong leadership and team management abilities. Effective communication and interpersonal skills. Ability to work in a fast-paced, dynamic environment. Knowledge of software development best practices and methodologies. Knowledge of DevOps practices and tools like Docker, Kubernetes, Jenkins, and Git. Roles And Responsibilities Lead the implementation of contact center solutions, ensuring seamless integration and optimal performance. Develop and integrate Generative AI (GenAI) technologies to enhance our product offerings. Write, review, and maintain code modules, ensuring high-quality and efficient code. Collaborate with cross-functional teams to define project requirements, scope, and deliverables. Manage and mentor a team of developers, providing guidance and support to achieve project goals. Stay updated with the latest industry trends and technologies to drive innovation within the team. Ensure compliance with best practices in software development, security, and data privacy. Execute full software development life cycle (SDLC) Troubleshoot and resolve technical issues in a timely manner. Qualifications Information Technology, or a related field. Minimum of 12+ years of experience in technology management or a similar role. Demonstrated experience in managing technology projects from inception to completion. ⚠️ Disclaimer: Firstsource follows a fair, transparent, and merit-based hiring process. We never ask for money at any stage. Beware of fraudulent offers and always verify through our official channels or @firstsource.com email addresses.

Summary Position Summary AI & Data In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. The offering portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. AI & Data will work with our clients to: Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements Google Cloud Platform - Data Engineer Cloud is shifting business models at our clients, and transforming the way technology enables business. As our clients embark on this transformational journey to cloud, they are looking for trusted partners who can help them navigate through this journey. Our client’s journey spans across cloud strategy to implementation, migration of legacy applications to supporting operations of a cloud ecosystem and everything in between. Deloitte’s Cloud Delivery Center supports our client project teams in this journey by delivering these new solutions by which IT services are obtained, used, and managed. You will be working with other technologists to deliver cutting edge solutions using Google Cloud Services ( GCP ), programming and automation tools for some of our Fortune 1000 clients. You will have the opportunity to contribute to work that may involve building a new cloud solutions, migrating an application to co-exist in the hybrid cloud, deploying a global cloud application across multiple countries or supporting a set of cloud managed services. Our teams of technologists have a diverse range of skills and we are always looking for new ways to innovate and help our clients succeed. You will have an opportunity to leverage the skills you already have, try new technologies and develop skills that will improve your brand and career as a well-rounded cutting-edge technologist . Work you’ll do As GCP Data Engineer you will have multiple responsibilities depending on project type. As a Cloud Data Engineer, you will guide customers on how to ingest, store, process, analyze and explore/visualize data on the Google Cloud Platform. You will work on data migrations and transformational projects, and with customers to design large-scale data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform issues. In this role you are the Data Engineer working with Deloitte's most strategic Cloud customers. Together with the team you will support customer implementation of Google Cloud products through: architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring and much more. The key responsibilities may involve some or all of the areas listed below: Act as a trusted technical advisor to customers and solve complex Big Data challenges. Create and deliver best practices recommendations, tutorials, blog articles, sample code, and technical presentations adapting to different levels of key business and technical stakeholders. ▪ Identifying new tools and processes to improve the cloud platform and automate processes Qualifications Technical Requirements BA/BS degree in Computer Science, Mathematics or related technical field, or equivalent practical experience. Experience in Cloud SQL and Cloud Bigtable Experience in Dataflow, BigQuery, Dataproc, Datalab, Dataprep, Pub/Sub and Genomics Experience in Google Transfer Appliance, Cloud Storage Transfer Service, BigQuery Data Transfer Experience with data processing software (such as Hadoop, Kafka, Spark, Pig, Hive) and with data processing algorithms (MapReduce, Flume). Experience working with technical customers. Experience in writing software in one or more languages such as Java, C++, Python, Go and/or JavaScript. Consulting Requirements 3-6 years of relevant consulting, industry or technology experience Strong problem solving and troubleshooting skills Strong communicator Willingness to travel up in case of project requirement Preferred Qualifications Experience working data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools and environments. Experience in technical consulting. Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments such as Google Cloud Platform (mandatory) and AWS/Azure(good to have) Experience working with big data, information retrieval, data mining or machine learning as well as experience in building multi-tier high availability applications with modern web technologies (such as NoSQL, Kafka,NPL, MongoDB, SparkML, Tensorflow). Working knowledge of ITIL and/or agile methodologies Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 300075

📍 Location: Greater Kailash II, South Delhi, New Delhi (On-Site Role Only | Local candidates preferred) 🕹️ About Us: We’re a stealth-mode, bootstrapped startup building a next-gen SaaS platform at the convergence of Gaming and Ad-Tech . We believe in lean, fast, and purposeful product development. With strong early traction and a focused vision, we are building for scale and sustainability from day one. As we scale our engineering efforts, we’re hiring a Software Architect who can define, design, and drive the technical foundation of our platform — while working hands-on with a full-stack TypeScript team (React, Next.js, NestJS, MongoDB, Deno). 🚀 Role Overview: You will be the technical backbone and system thinker in the product team — responsible for designing scalable system architecture, making long-term technology choices, and guiding implementation with a “less is more” mindset. This is a high-ownership role reporting directly to the founders. 🎯 Key Responsibilities: Architect and evolve the overall system — frontend, backend, APIs, data flows, security, and DevOps. Make foundational decisions on tech stack, system design, infrastructure, and scalability. Lead the packaging and delivery of the SaaS product — with clear attention to versioning, deployment models (single/multi-tenant), and product modularity. Drive design of core product modules, services, and integrations. Balance lean MVP delivery with long-term maintainability and performance. Set up engineering best practices: CI/CD pipelines, versioning, logging, monitoring, testing frameworks. Collaborate with the product manager and developers to ensure architecture aligns with business goals. Mentor developers, perform architecture/code reviews, and raise engineering standards. Lead choices around data modeling, caching, message queues, and event-driven design (if required). 🧠 Required Skills & Experience: 5+ years of experience in software architecture or senior engineering roles. Strong expertise in TypeScript across the stack. Hands-on experience with: React , Next.js (frontend, SSR, routing) NestJS or ExpressJS on Deno runtime MongoDB , schema design, optimization Proven experience in packaging and delivering a SaaS product — with focus on deployment, scalability, and customer onboarding. Deep understanding of system design, REST APIs, microservices, and API security. Experience deploying scalable web apps on platforms like Vercel , Render , or containerized setups (Docker/K8s optional). Familiarity with CI/CD pipelines , GitHub workflows, and DevOps fundamentals. Excellent documentation, architectural diagramming, and communication skills. ✅ You’re a Fit If You: Are a system thinker with a passion for elegant, efficient architecture. Have successfully packaged, deployed, and versioned SaaS applications in production. Believe in lean product development — building only what’s essential and scalable. Can translate fuzzy product ideas into well-structured technical designs. Thrive in early-stage, ambiguous, and high-ownership environments. Enjoy mentoring and leading small but high-performing technical teams. 🌱 Why Join Us: Build a modern product from scratch with real ownership. Work on a unique problem at the intersection of gaming, community, and advertising . Join a close-knit, ambitious founding team. Opportunity to grow into CTO / Head of Engineering as the company scales. During the interview process, wherever asked, quote Flight No. AI 101 for ready reference. 📢 Ready to architect something exceptional from the ground up? Apply now and let’s build the future of community-first Ad-Tech in gaming.

Summary Position Summary AI & Data In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. The offering portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. AI & Data will work with our clients to: Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements Google Cloud Platform - Data Engineer Cloud is shifting business models at our clients, and transforming the way technology enables business. As our clients embark on this transformational journey to cloud, they are looking for trusted partners who can help them navigate through this journey. Our client’s journey spans across cloud strategy to implementation, migration of legacy applications to supporting operations of a cloud ecosystem and everything in between. Deloitte’s Cloud Delivery Center supports our client project teams in this journey by delivering these new solutions by which IT services are obtained, used, and managed. You will be working with other technologists to deliver cutting edge solutions using Google Cloud Services ( GCP ), programming and automation tools for some of our Fortune 1000 clients. You will have the opportunity to contribute to work that may involve building a new cloud solutions, migrating an application to co-exist in the hybrid cloud, deploying a global cloud application across multiple countries or supporting a set of cloud managed services. Our teams of technologists have a diverse range of skills and we are always looking for new ways to innovate and help our clients succeed. You will have an opportunity to leverage the skills you already have, try new technologies and develop skills that will improve your brand and career as a well-rounded cutting-edge technologist . Work you’ll do As GCP Data Engineer you will have multiple responsibilities depending on project type. As a Cloud Data Engineer, you will guide customers on how to ingest, store, process, analyze and explore/visualize data on the Google Cloud Platform. You will work on data migrations and transformational projects, and with customers to design large-scale data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform issues. In this role you are the Data Engineer working with Deloitte's most strategic Cloud customers. Together with the team you will support customer implementation of Google Cloud products through: architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring and much more. The key responsibilities may involve some or all of the areas listed below: Act as a trusted technical advisor to customers and solve complex Big Data challenges. Create and deliver best practices recommendations, tutorials, blog articles, sample code, and technical presentations adapting to different levels of key business and technical stakeholders. ▪ Identifying new tools and processes to improve the cloud platform and automate processes Qualifications Technical Requirements BA/BS degree in Computer Science, Mathematics or related technical field, or equivalent practical experience. Experience in Cloud SQL and Cloud Bigtable Experience in Dataflow, BigQuery, Dataproc, Datalab, Dataprep, Pub/Sub and Genomics Experience in Google Transfer Appliance, Cloud Storage Transfer Service, BigQuery Data Transfer Experience with data processing software (such as Hadoop, Kafka, Spark, Pig, Hive) and with data processing algorithms (MapReduce, Flume). Experience working with technical customers. Experience in writing software in one or more languages such as Java, C++, Python, Go and/or JavaScript. Consulting Requirements 3-6 years of relevant consulting, industry or technology experience Strong problem solving and troubleshooting skills Strong communicator Willingness to travel up in case of project requirement Preferred Qualifications Experience working data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools and environments. Experience in technical consulting. Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments such as Google Cloud Platform (mandatory) and AWS/Azure(good to have) Experience working with big data, information retrieval, data mining or machine learning as well as experience in building multi-tier high availability applications with modern web technologies (such as NoSQL, Kafka,NPL, MongoDB, SparkML, Tensorflow). Working knowledge of ITIL and/or agile methodologies Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 300075

Summary Position Summary AI & Data In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. The offering portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. AI & Data will work with our clients to: Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements Google Cloud Platform - Data Engineer Cloud is shifting business models at our clients, and transforming the way technology enables business. As our clients embark on this transformational journey to cloud, they are looking for trusted partners who can help them navigate through this journey. Our client’s journey spans across cloud strategy to implementation, migration of legacy applications to supporting operations of a cloud ecosystem and everything in between. Deloitte’s Cloud Delivery Center supports our client project teams in this journey by delivering these new solutions by which IT services are obtained, used, and managed. You will be working with other technologists to deliver cutting edge solutions using Google Cloud Services ( GCP ), programming and automation tools for some of our Fortune 1000 clients. You will have the opportunity to contribute to work that may involve building a new cloud solutions, migrating an application to co-exist in the hybrid cloud, deploying a global cloud application across multiple countries or supporting a set of cloud managed services. Our teams of technologists have a diverse range of skills and we are always looking for new ways to innovate and help our clients succeed. You will have an opportunity to leverage the skills you already have, try new technologies and develop skills that will improve your brand and career as a well-rounded cutting-edge technologist . Work you’ll do As GCP Data Engineer you will have multiple responsibilities depending on project type. As a Cloud Data Engineer, you will guide customers on how to ingest, store, process, analyze and explore/visualize data on the Google Cloud Platform. You will work on data migrations and transformational projects, and with customers to design large-scale data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform issues. In this role you are the Data Engineer working with Deloitte's most strategic Cloud customers. Together with the team you will support customer implementation of Google Cloud products through: architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring and much more. The key responsibilities may involve some or all of the areas listed below: Act as a trusted technical advisor to customers and solve complex Big Data challenges. Create and deliver best practices recommendations, tutorials, blog articles, sample code, and technical presentations adapting to different levels of key business and technical stakeholders. ▪ Identifying new tools and processes to improve the cloud platform and automate processes Qualifications Technical Requirements BA/BS degree in Computer Science, Mathematics or related technical field, or equivalent practical experience. Experience in Cloud SQL and Cloud Bigtable Experience in Dataflow, BigQuery, Dataproc, Datalab, Dataprep, Pub/Sub and Genomics Experience in Google Transfer Appliance, Cloud Storage Transfer Service, BigQuery Data Transfer Experience with data processing software (such as Hadoop, Kafka, Spark, Pig, Hive) and with data processing algorithms (MapReduce, Flume). Experience working with technical customers. Experience in writing software in one or more languages such as Java, C++, Python, Go and/or JavaScript. Consulting Requirements 3-6 years of relevant consulting, industry or technology experience Strong problem solving and troubleshooting skills Strong communicator Willingness to travel up in case of project requirement Preferred Qualifications Experience working data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools and environments. Experience in technical consulting. Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments such as Google Cloud Platform (mandatory) and AWS/Azure(good to have) Experience working with big data, information retrieval, data mining or machine learning as well as experience in building multi-tier high availability applications with modern web technologies (such as NoSQL, Kafka,NPL, MongoDB, SparkML, Tensorflow). Working knowledge of ITIL and/or agile methodologies Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 300075

Summary Position Summary AI & Data In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. The offering portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. AI & Data will work with our clients to: Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements Google Cloud Platform - Data Engineer Cloud is shifting business models at our clients, and transforming the way technology enables business. As our clients embark on this transformational journey to cloud, they are looking for trusted partners who can help them navigate through this journey. Our client’s journey spans across cloud strategy to implementation, migration of legacy applications to supporting operations of a cloud ecosystem and everything in between. Deloitte’s Cloud Delivery Center supports our client project teams in this journey by delivering these new solutions by which IT services are obtained, used, and managed. You will be working with other technologists to deliver cutting edge solutions using Google Cloud Services ( GCP ), programming and automation tools for some of our Fortune 1000 clients. You will have the opportunity to contribute to work that may involve building a new cloud solutions, migrating an application to co-exist in the hybrid cloud, deploying a global cloud application across multiple countries or supporting a set of cloud managed services. Our teams of technologists have a diverse range of skills and we are always looking for new ways to innovate and help our clients succeed. You will have an opportunity to leverage the skills you already have, try new technologies and develop skills that will improve your brand and career as a well-rounded cutting-edge technologist . Work you’ll do As GCP Data Engineer you will have multiple responsibilities depending on project type. As a Cloud Data Engineer, you will guide customers on how to ingest, store, process, analyze and explore/visualize data on the Google Cloud Platform. You will work on data migrations and transformational projects, and with customers to design large-scale data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform issues. In this role you are the Data Engineer working with Deloitte's most strategic Cloud customers. Together with the team you will support customer implementation of Google Cloud products through: architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring and much more. The key responsibilities may involve some or all of the areas listed below: Act as a trusted technical advisor to customers and solve complex Big Data challenges. Create and deliver best practices recommendations, tutorials, blog articles, sample code, and technical presentations adapting to different levels of key business and technical stakeholders. ▪ Identifying new tools and processes to improve the cloud platform and automate processes Qualifications Technical Requirements BA/BS degree in Computer Science, Mathematics or related technical field, or equivalent practical experience. Experience in Cloud SQL and Cloud Bigtable Experience in Dataflow, BigQuery, Dataproc, Datalab, Dataprep, Pub/Sub and Genomics Experience in Google Transfer Appliance, Cloud Storage Transfer Service, BigQuery Data Transfer Experience with data processing software (such as Hadoop, Kafka, Spark, Pig, Hive) and with data processing algorithms (MapReduce, Flume). Experience working with technical customers. Experience in writing software in one or more languages such as Java, C++, Python, Go and/or JavaScript. Consulting Requirements 3-6 years of relevant consulting, industry or technology experience Strong problem solving and troubleshooting skills Strong communicator Willingness to travel up in case of project requirement Preferred Qualifications Experience working data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools and environments. Experience in technical consulting. Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments such as Google Cloud Platform (mandatory) and AWS/Azure(good to have) Experience working with big data, information retrieval, data mining or machine learning as well as experience in building multi-tier high availability applications with modern web technologies (such as NoSQL, Kafka,NPL, MongoDB, SparkML, Tensorflow). Working knowledge of ITIL and/or agile methodologies Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 300075

Summary Position Summary AI & Data In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. The offering portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. AI & Data will work with our clients to: Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements Google Cloud Platform - Data Engineer Cloud is shifting business models at our clients, and transforming the way technology enables business. As our clients embark on this transformational journey to cloud, they are looking for trusted partners who can help them navigate through this journey. Our client’s journey spans across cloud strategy to implementation, migration of legacy applications to supporting operations of a cloud ecosystem and everything in between. Deloitte’s Cloud Delivery Center supports our client project teams in this journey by delivering these new solutions by which IT services are obtained, used, and managed. You will be working with other technologists to deliver cutting edge solutions using Google Cloud Services ( GCP ), programming and automation tools for some of our Fortune 1000 clients. You will have the opportunity to contribute to work that may involve building a new cloud solutions, migrating an application to co-exist in the hybrid cloud, deploying a global cloud application across multiple countries or supporting a set of cloud managed services. Our teams of technologists have a diverse range of skills and we are always looking for new ways to innovate and help our clients succeed. You will have an opportunity to leverage the skills you already have, try new technologies and develop skills that will improve your brand and career as a well-rounded cutting-edge technologist . Work you’ll do As GCP Data Engineer you will have multiple responsibilities depending on project type. As a Cloud Data Engineer, you will guide customers on how to ingest, store, process, analyze and explore/visualize data on the Google Cloud Platform. You will work on data migrations and transformational projects, and with customers to design large-scale data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform issues. In this role you are the Data Engineer working with Deloitte's most strategic Cloud customers. Together with the team you will support customer implementation of Google Cloud products through: architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring and much more. The key responsibilities may involve some or all of the areas listed below: Act as a trusted technical advisor to customers and solve complex Big Data challenges. Create and deliver best practices recommendations, tutorials, blog articles, sample code, and technical presentations adapting to different levels of key business and technical stakeholders. ▪ Identifying new tools and processes to improve the cloud platform and automate processes Qualifications Technical Requirements BA/BS degree in Computer Science, Mathematics or related technical field, or equivalent practical experience. Experience in Cloud SQL and Cloud Bigtable Experience in Dataflow, BigQuery, Dataproc, Datalab, Dataprep, Pub/Sub and Genomics Experience in Google Transfer Appliance, Cloud Storage Transfer Service, BigQuery Data Transfer Experience with data processing software (such as Hadoop, Kafka, Spark, Pig, Hive) and with data processing algorithms (MapReduce, Flume). Experience working with technical customers. Experience in writing software in one or more languages such as Java, C++, Python, Go and/or JavaScript. Consulting Requirements 3-6 years of relevant consulting, industry or technology experience Strong problem solving and troubleshooting skills Strong communicator Willingness to travel up in case of project requirement Preferred Qualifications Experience working data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools and environments. Experience in technical consulting. Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments such as Google Cloud Platform (mandatory) and AWS/Azure(good to have) Experience working with big data, information retrieval, data mining or machine learning as well as experience in building multi-tier high availability applications with modern web technologies (such as NoSQL, Kafka,NPL, MongoDB, SparkML, Tensorflow). Working knowledge of ITIL and/or agile methodologies Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 300075

Summary Position Summary AI & Data In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. The offering portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. AI & Data will work with our clients to: Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements Google Cloud Platform - Data Engineer Cloud is shifting business models at our clients, and transforming the way technology enables business. As our clients embark on this transformational journey to cloud, they are looking for trusted partners who can help them navigate through this journey. Our client’s journey spans across cloud strategy to implementation, migration of legacy applications to supporting operations of a cloud ecosystem and everything in between. Deloitte’s Cloud Delivery Center supports our client project teams in this journey by delivering these new solutions by which IT services are obtained, used, and managed. You will be working with other technologists to deliver cutting edge solutions using Google Cloud Services ( GCP ), programming and automation tools for some of our Fortune 1000 clients. You will have the opportunity to contribute to work that may involve building a new cloud solutions, migrating an application to co-exist in the hybrid cloud, deploying a global cloud application across multiple countries or supporting a set of cloud managed services. Our teams of technologists have a diverse range of skills and we are always looking for new ways to innovate and help our clients succeed. You will have an opportunity to leverage the skills you already have, try new technologies and develop skills that will improve your brand and career as a well-rounded cutting-edge technologist . Work you’ll do As GCP Data Engineer you will have multiple responsibilities depending on project type. As a Cloud Data Engineer, you will guide customers on how to ingest, store, process, analyze and explore/visualize data on the Google Cloud Platform. You will work on data migrations and transformational projects, and with customers to design large-scale data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform issues. In this role you are the Data Engineer working with Deloitte's most strategic Cloud customers. Together with the team you will support customer implementation of Google Cloud products through: architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring and much more. The key responsibilities may involve some or all of the areas listed below: Act as a trusted technical advisor to customers and solve complex Big Data challenges. Create and deliver best practices recommendations, tutorials, blog articles, sample code, and technical presentations adapting to different levels of key business and technical stakeholders. ▪ Identifying new tools and processes to improve the cloud platform and automate processes Qualifications Technical Requirements BA/BS degree in Computer Science, Mathematics or related technical field, or equivalent practical experience. Experience in Cloud SQL and Cloud Bigtable Experience in Dataflow, BigQuery, Dataproc, Datalab, Dataprep, Pub/Sub and Genomics Experience in Google Transfer Appliance, Cloud Storage Transfer Service, BigQuery Data Transfer Experience with data processing software (such as Hadoop, Kafka, Spark, Pig, Hive) and with data processing algorithms (MapReduce, Flume). Experience working with technical customers. Experience in writing software in one or more languages such as Java, C++, Python, Go and/or JavaScript. Consulting Requirements 3-6 years of relevant consulting, industry or technology experience Strong problem solving and troubleshooting skills Strong communicator Willingness to travel up in case of project requirement Preferred Qualifications Experience working data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools and environments. Experience in technical consulting. Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments such as Google Cloud Platform (mandatory) and AWS/Azure(good to have) Experience working with big data, information retrieval, data mining or machine learning as well as experience in building multi-tier high availability applications with modern web technologies (such as NoSQL, Kafka,NPL, MongoDB, SparkML, Tensorflow). Working knowledge of ITIL and/or agile methodologies Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 300075

Summary Position Summary AI & Data In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. The offering portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. AI & Data will work with our clients to: Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements Google Cloud Platform - Data Engineer Cloud is shifting business models at our clients, and transforming the way technology enables business. As our clients embark on this transformational journey to cloud, they are looking for trusted partners who can help them navigate through this journey. Our client’s journey spans across cloud strategy to implementation, migration of legacy applications to supporting operations of a cloud ecosystem and everything in between. Deloitte’s Cloud Delivery Center supports our client project teams in this journey by delivering these new solutions by which IT services are obtained, used, and managed. You will be working with other technologists to deliver cutting edge solutions using Google Cloud Services ( GCP ), programming and automation tools for some of our Fortune 1000 clients. You will have the opportunity to contribute to work that may involve building a new cloud solutions, migrating an application to co-exist in the hybrid cloud, deploying a global cloud application across multiple countries or supporting a set of cloud managed services. Our teams of technologists have a diverse range of skills and we are always looking for new ways to innovate and help our clients succeed. You will have an opportunity to leverage the skills you already have, try new technologies and develop skills that will improve your brand and career as a well-rounded cutting-edge technologist . Work you’ll do As GCP Data Engineer you will have multiple responsibilities depending on project type. As a Cloud Data Engineer, you will guide customers on how to ingest, store, process, analyze and explore/visualize data on the Google Cloud Platform. You will work on data migrations and transformational projects, and with customers to design large-scale data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform issues. In this role you are the Data Engineer working with Deloitte's most strategic Cloud customers. Together with the team you will support customer implementation of Google Cloud products through: architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring and much more. The key responsibilities may involve some or all of the areas listed below: Act as a trusted technical advisor to customers and solve complex Big Data challenges. Create and deliver best practices recommendations, tutorials, blog articles, sample code, and technical presentations adapting to different levels of key business and technical stakeholders. ▪ Identifying new tools and processes to improve the cloud platform and automate processes Qualifications Technical Requirements BA/BS degree in Computer Science, Mathematics or related technical field, or equivalent practical experience. Experience in Cloud SQL and Cloud Bigtable Experience in Dataflow, BigQuery, Dataproc, Datalab, Dataprep, Pub/Sub and Genomics Experience in Google Transfer Appliance, Cloud Storage Transfer Service, BigQuery Data Transfer Experience with data processing software (such as Hadoop, Kafka, Spark, Pig, Hive) and with data processing algorithms (MapReduce, Flume). Experience working with technical customers. Experience in writing software in one or more languages such as Java, C++, Python, Go and/or JavaScript. Consulting Requirements 3-6 years of relevant consulting, industry or technology experience Strong problem solving and troubleshooting skills Strong communicator Willingness to travel up in case of project requirement Preferred Qualifications Experience working data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools and environments. Experience in technical consulting. Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments such as Google Cloud Platform (mandatory) and AWS/Azure(good to have) Experience working with big data, information retrieval, data mining or machine learning as well as experience in building multi-tier high availability applications with modern web technologies (such as NoSQL, Kafka,NPL, MongoDB, SparkML, Tensorflow). Working knowledge of ITIL and/or agile methodologies Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 300075

Introduction Software Developer plays a crucial role in designing, implementing, and maintaining efficient and reliable software systems. This role requires a solid understanding of programming languages, software engineering principles, and database concepts. The ideal candidate will have excellent problem-solving abilities and communication skills. Your Role And Responsibilities Collaborate with the tech team to understand project requirements and specifications. Write clean, well-organized, and efficient code using modern programming languages and frameworks. Conduct unit tests, debugging, and troubleshooting to ensure the software functions as intended. Participate in code reviews to improve code quality, consistency, and adherence to coding standards. Stay updated on emerging trends and technologies in the software development industry. Communicate progress, issues, and suggestions to the tech team and stakeholders. Adhere to project timelines, deadlines, and budgets. Provide assistance to junior developers and contribute to knowledge sharing sessions. Required Technical And Professional Expertise Hands-on experience in object-oriented programming languages such as Java, C++, or Python. Knowledge of web development frameworks like React, Angular, or Vue.js. Knowledge of databases, SQL syntax, and NoSQL databases (e.g., MongoDB, Postgres, etc.). Excellent problem-solving and analytical skills. Strong verbal and written communication skills. Ability to work independently and collaboratively in a fast-paced agile environment. B.E/B.Tech/M.C.A/M.Tech in Computer Science or equivalent practical experience. Preferred Technical And Professional Experience Understanding of version control systems (e.g., Git, etc.) and continuous integration/continuous deployment (CI/CD) pipelines

We’re building the next-generation communications analytics and automation platform—one that fuses deep telemetry, enterprise-scale voice/calling data, and AI-driven remediation. As a Senior Backend Engineer , you'll play a core role in designing the resilient, scalable backend of a high-visibility platform that already drives action across global Microsoft Teams deployments. This isn’t a maintenance gig. This is architecture, orchestration, and ownership. You’ll help design microservices, implement scalable APIs, and ensure data flows seamlessly from complex real-time systems (like call quality diagnostics and device telemetry) into actionable intelligence and automation pipelines. If you’re excited by backend systems with real-world impact—and want to transition into intelligent agentic systems powered by GenAI—this role is built for you. What You'll Work On Platform Engineering (Core Backend) Design and implement robust, cloud-native services using modern backend stacks (Node.js, Python, .NET Core, or similar). Build scalable APIs to surface data and actions across TeamsCoreIQ modules (call analytics, device insights, policy management, AI-based RCA). Integrate with Microsoft Graph APIs and Teams Calling infrastructure (Auto Attendants, Call Queues, Call Quality, Presence, Policies). Develop event-driven workflows using queues (Service Bus, Kafka, RabbitMQ) for high-throughput ingestion and action pipelines. Work with real-time data stores, telemetry ingestion, and time-series analytics backends (PostgreSQL, MongoDB, InfluxDB, or equivalent). Infrastructure & DevOps Support Help scale and secure workloads using Azure, Kubernetes, and CI/CD pipelines (GitHub Actions, Azure DevOps). Implement observability practices—logging, metrics, alerting—for zero-downtime insights and RCA. Future-Forward (Agentic Track) Support the evolution of the backend toward intelligent agent orchestration: Build services that allow modular “agents” to retrieve, infer, and act (e.g. provisioning, remediation, escalation). Explore interfaces for integrating OpenAI, Azure AI, or RAG pipelines to make automation contextual and proactive. What You Bring Must-Have Technical Skills 2+ years backend engineering experience with production-grade systems. Strong proficiency in at least one modern backend language (Node.js, Python, Go, or .NET Core). Deep understanding of RESTful API design, GraphQL is a bonus. Experience building cloud-native apps on Azure (preferred), AWS or GCP. Familiarity with Microsoft ecosystem: Graph API, Teams, Entra ID (AAD), SIP/VoIP call data a big plus. Experience with relational and NoSQL databases; data modeling and performance tuning. Bonus (Not Mandatory, but Highly Valued) Exposure to AI/ML pipelines, LangChain, OpenAI API, or vector databases (Pinecone, Weaviate). Background in observability, root-cause analysis systems, or voice analytics. Experience with policy engines, RBAC, and multi-tenant SaaS platforms. Traits We Love Systems Thinker – You optimize for scale and understand how backend services interact across a distributed system. Builder’s DNA – You love to own, refine, and ship high-quality features fast. Learning Velocity – You’re interested in agentic architectures, GenAI, and eager to transition toward intelligent orchestration. Code Ethic – You write clean, maintainable, testable code—and always think security-first. Performance Expectations (First 30 Days) ü Ship a core modules with full test coverage and observability. ü Deliver API endpoints for at least one major module (e.g. RCA, Call Analytics, DeviceIQ). ü Draft and refine at least one reusable internal service that improves time-to-market for future agents. ü Collaborate with frontend, DevOps, and AI teams to support rapid iteration and experimentation. Tips: Provide a summary of the role, what success in the position looks like, and how this role fits into the organization overall.

What You’ll Do "Eaton Corporation’s Device Integration has an opening for a Software Engineer who is passionate about his or her craft. He/She will be directly involved in the architecture, design, and development of an Internet of Things application. Although Eaton is an established company with a diverse product portfolio, this product exhibits many characteristics of a start-up initiative. This product, being developed from the ground-up, will be utilized by Eaton product teams as a framework on which to build and extend customer facing applications and solutions. So, if you’re an experienced software professional yearning to work on a project leveraging the latest software technologies and trends such as IoT, NoSQL, big data, open source, DevOps, mobile, and cybersecurity, this is the position for you! Not only will you be working with some amazing technology, you’ll also be part of an enthusiastic team of software professionals working to make an immediate organizational impact and having lots of fun along the way!" " Work with your team and others, contributing to the architecture, design, and implementation of an Internet of Things application. Development will be primarily in C#, and .NET Author high-quality, unit-tested code. Demonstrate and document solutions by using flowcharts, diagrams, code comments, code snippets, and performance instruments. Provide work estimates and participate in design, implementation, and code reviews. Execute agile work plans for iterative and incremental project delivery. Expand job knowledge by studying software development techniques and programming languages. Participate in educational opportunities and read professional publications. Work with test teams to ensure adequate and appropriate test case coverage; investigate and fix bugs; create automated test scripts." Qualifications BE/B.Tech/M.Tech/MCA " 6-9 years of progressive experience in software industry developing, designing, and deploying technology solutions shipping high quality products 5-7 yrs of experience on C# and .Net 5+ yrs of experience working with Azure" Skills " Proficient with C# and .Net Technologies and associated IDE’s (Visual Studio, Eclipse, IntelliJ, etc.) Understanding of Databases and concepts (relational and non-relational like sqlserver, cosmos, mongodb etc.) Understanding of software design principles, algorithms, data structures, and multithreading concepts Understanding of object oriented design and programming skills, including the use of design patterns Working knowledge of cloud development platforms such as Azure or AWS Working knowledge of security concepts such as encryption, certificates, and key management Working knowledge of networking protocols and concepts (http, tcp, websocket) Working knowledge of network and distributed computing concepts Experience utilizing best practices in software engineering Experience with Agile development methodologies and concepts Strong problem solving and software debugging skills Knowledge of CI/CD concepts, tools, and technologies Knowledge of field bus protocols like Modbus TCP/RTU will be an added advantage. " " Excellent verbal and written communication skills including the ability to effectively explain technical concepts Very good at understanding and prioritizing tasks, issues and work "

Company Size Mid-Sized Experience Required 10 - 15 years Working Days 5 days/week Office Location Delhi Role & Responsibilities Lead and mentor a team of data engineers, ensuring high performance and career growth. Architect and optimize scalable data infrastructure, ensuring high availability and reliability. Drive the development and implementation of data governance frameworks and best practices. Work closely with cross-functional teams to define and execute a data roadmap. Optimize data processing workflows for performance and cost efficiency. Ensure data security, compliance, and quality across all data platforms. Foster a culture of innovation and technical excellence within the data team. Ideal Candidate 10+ years of experience in software/data engineering, with at least 3+ years in a leadership role. Expertise in backend development with programming languages such as Java, PHP, Python, Node.JS, GoLang, JavaScript, HTML, and CSS. Proficiency in SQL, Python, and Scala for data processing and analytics. Strong understanding of cloud platforms (AWS, GCP, or Azure) and their data services. Strong foundation and expertise in HLD and LLD, as well as design patterns, preferably using Spring Boot or Google Guice Experience in big data technologies such as Spark, Hadoop, Kafka, and distributed computing frameworks. Hands-on experience with data warehousing solutions such as Snowflake, Redshift, or BigQuery Deep knowledge of data governance, security, and compliance (GDPR, SOC2, etc.). Experience in NoSQL databases like Redis, Cassandra, MongoDB, and TiDB. Familiarity with automation and DevOps tools like Jenkins, Ansible, Docker, Kubernetes, Chef, Grafana, and ELK. Proven ability to drive technical strategy and align it with business objectives. Strong leadership, communication, and stakeholder management skills. Preferred Qualifications Experience in machine learning infrastructure or MLOps is a plus. Exposure to real-time data processing and analytics. Interest in data structures, algorithm analysis and design, multicore programming, and scalable architecture. Prior experience in a SaaS or high-growth tech company. Perks, Benefits and Work Culture Testimonial from a designer: 'One of the things I love about the design team at Wingify is the fact that every designer has a style which is unique to them. The second best thing is non-compliance to pre-existing rules for new products. So I just don't follow guidelines, I help create them.' Skills: infrastructure,soc2,ansible,drive,data governance,redshift,gdpr,javascript,cassandra,design,spring boot,jenkins,docker,mongodb,java,tidb,elk,python,php,aws,snowflake,lld,chef,bigquery,gcp,golang,html,data,kafka,grafana,kubernetes,scala,css,hadoop,azure,redis,sql,data processing,spark,hld,node.js,google guice,compliance