525 Cassandra Jobs

15 years of experience in software engineering, with at least 5 years of experience in a leadership role. Strong technology expertise in Java, Microservices architecture, AWS cloud platform, AI, and the Angular framework. Solid background in building scalable and distributed systems, with expertise in technologies such as Spring boot (Spring (Core, AOP, Transactions, Data, Security), Cassandra, Kubernetes (K8s), Kafka, Docker and others. Experience with security best practices and protocols (e.g., SSL/TLS, OAuth) Hand on experience towards Architecture and Design patterns. Practice industry's leading best guidelines/processes in building enterprise products/components Proven track record of successfully leading and managing high-performing engineering teams. Excellent communication, interpersonal, and leadership skills. Ability to mentor and coach others, helping them develop their technical and leadership skills. Strong problem-solving and analytical skills. Experience with Agile development methodologies. Ability to prioritize effectively and manage multiple tasks simultaneously. Experience in building and scaling software applications. Experience in recruiting and hiring top-tier engineering talent. Ability to work effectively in a cross-functional team environment. Skills: agile development methodologies,aws cloud platform,angular,security best practices,spring boot,kubernetes (k8s),kafka,ai,docker,leadership,microservices architecture,cassandra,java,aws,software

15 years of experience in software engineering, with at least 5 years of experience in a leadership role. Strong technology expertise in Java, Microservices architecture, AWS cloud platform, AI, and the Angular framework. Solid background in building scalable and distributed systems, with expertise in technologies such as Spring boot (Spring (Core, AOP, Transactions, Data, Security), Cassandra, Kubernetes (K8s), Kafka, Docker and others. Experience with security best practices and protocols (e.g., SSL/TLS, OAuth) Hand on experience towards Architecture and Design patterns. Practice industry's leading best guidelines/processes in building enterprise products/components Proven track record of successfully leading and managing high-performing engineering teams. Excellent communication, interpersonal, and leadership skills. Ability to mentor and coach others, helping them develop their technical and leadership skills. Strong problem-solving and analytical skills. Experience with Agile development methodologies. Ability to prioritize effectively and manage multiple tasks simultaneously. Experience in building and scaling software applications. Experience in recruiting and hiring top-tier engineering talent. Ability to work effectively in a cross-functional team environment. Skills: agile development methodologies,aws cloud platform,angular,security best practices,spring boot,kubernetes (k8s),kafka,ai,docker,leadership,microservices architecture,cassandra,java,aws,software

15 years of experience in software engineering, with at least 5 years of experience in a leadership role. Strong technology expertise in Java, Microservices architecture, AWS cloud platform, AI, and the Angular framework. Solid background in building scalable and distributed systems, with expertise in technologies such as Spring boot (Spring (Core, AOP, Transactions, Data, Security), Cassandra, Kubernetes (K8s), Kafka, Docker and others. Experience with security best practices and protocols (e.g., SSL/TLS, OAuth) Hand on experience towards Architecture and Design patterns. Practice industry's leading best guidelines/processes in building enterprise products/components Proven track record of successfully leading and managing high-performing engineering teams. Excellent communication, interpersonal, and leadership skills. Ability to mentor and coach others, helping them develop their technical and leadership skills. Strong problem-solving and analytical skills. Experience with Agile development methodologies. Ability to prioritize effectively and manage multiple tasks simultaneously. Experience in building and scaling software applications. Experience in recruiting and hiring top-tier engineering talent. Ability to work effectively in a cross-functional team environment. Skills: ssl/tls,software,agile development methodologies,spring boot,kubernetes,java,security best practices,microservices architecture,agile methodologies,leadership,kafka,architecture and design patterns,ai,aws cloud platform,docker,kubernetes (k8s),aws,oauth,angular,cassandra

Full Stack Solution Architect Location: Hyderabad, India Employment Type: Full-Time Role Overview: We are seeking a highly skilled Full Stack Solution Architect to join our team in Hyderabad. The ideal candidate will play a critical role in designing, developing, and deploying scalable, end-to-end technology solutions. This individual will collaborate with cross-functional teams to define architectural strategies and deliver solutions that align with business goals. Key Responsibilities: Solution Architecture: Design and implement scalable, secure, and high-performance full-stack solutions. Develop architectural blueprints and detailed documentation to guide development teams. Technical Leadership: Provide technical guidance and mentorship to development teams. Ensure adherence to best practices, coding standards, and architectural principles. Full Stack Development: Work across the stack, including front-end, back-end, databases, and cloud infrastructure. Build and maintain reusable code, frameworks, and libraries. Collaboration: Work closely with stakeholders to gather requirements and translate them into technical solutions. Partner with DevOps and QA teams to streamline CI/CD pipelines and ensure solution reliability. Technology Evaluation: Assess emerging technologies and tools to improve existing solutions and processes. Recommend strategies for technical improvements and innovation. Required Qualifications: Education: Bachelors/Masters degree in Computer Science, Information Technology, or a related field. Experience: 8+ years of experience in software development, with at least 3 years as a Solution Architect. Proven experience in full-stack development (front-end, back-end, and cloud). Technical Skills: Expertise in front-end frameworks (React.js, Angular, or Vue.js). Strong back-end experience with Node.js, Java, Python, or .NET. Proficiency in databases (SQL and NoSQL) such as PostgreSQL, MongoDB, or Cassandra. Hands-on experience with cloud platforms (AWS, Azure, or Google Cloud). Familiarity with containerization tools (Docker, Kubernetes) and CI/CD processes. Knowledge of microservices architecture, REST APIs, and GraphQL. Soft Skills: Strong problem-solving and analytical skills. Excellent communication and interpersonal abilities. Ability to manage multiple priorities and work in a fast-paced environment. Preferred Qualifications: Certification in cloud platforms (e.g., AWS Solution Architect, Azure Architect). Experience with serverless computing and event-driven architectures. Knowledge of AI/ML integration and data pipelines.

Title : Java Lead Developer (Java, Spring, K8, Data Engineering/Data Pipeline/ETL, AWS) FICO (NYSEFICO) is a leading global analytics software company, helping businesses in 100+ countries make better decisions. Join our world-class team today and fulfill your career potential! The Opportunity Come join our product development team to provide thought leadership and innovation.This role provides the opportunity to develop a deep understanding of our business, work closely with product management to architect, design and develop a highly feature rich product . VP, Software Engineering. What Youll Contribute Design, develop, test, deploy, and support the capabilities of a large world-class enterprise-level platform. Create scalable microservices of high performance, high availability, interoperability, and reliability. Contribute designs and technical proof of concepts and adhere to standards and guidance from architecture team members. Participate with Senior engineers and Product Management to create epics and stories and define their technical acceptance criteria. Experienced with enterprise architectural models and distributed software design. Serve as source of technical expertise, mentor junior engineers, and raise quality standards. Mentor and provide guidance to other engineers in the technical areas. Do code reviews and enforce that the team follows coding standards and best practices Manage ambiguity and moderate levels of complexity and proactively discover and attack issues. Share ownership in quality, test automation, continuous integration and delivery, and production operation Quickly escalate challenges and risks incurred during projects. What Were Seeking Bachelors/masters in computer science or related disciplines, with minimum 7 years in software architecture, design, development and testing. Expert in Java(Java 17 and above), Spring, Spring Boot, Maven/Gradle, Docker, Git, GitHub is a must. Experienced with Data Structure, Algorithm, Multi threading, Memory Management etc. Experience with data engineering services such as Data Lakehouse, ETL, Data Pipelines, or Business Intelligence is highly desirable. Strong in High level and Low level System Design. Prior experience of Creating and Presenting Architecture diagrams like C4, System Landscape, etc. Strong understanding of Microservices Architecture, Principles, and Patterns. Experience of implementing RESTful and gRPC APIs. Strong in Cloud engineering areas like Kubernetes, and AWS/Azure/GCP. Knowledge of databases such as MySQL, PostgreSQL, MongoDB and Cassandra. Experience with Agile or Scaled Agile software development. Experience in software design with strong foundation of design models and database structures. Good documentation skills. Exposure to Confluence. Experience in developing scalable, highly available and high performing applications for Cloud. Understand the design and development approaches required to build a scalable and resilient service Excellent communication skills Ability to present and discuss the design with architects and conduct technical discussions with teams. Our Offer to You An inclusive culture strongly reflecting our core valuesAct Like an Owner, Delight Our Customers and Earn the Respect of Others. The opportunity to make an impact and develop professionally by leveraging your unique strengths and participating in valuable learning experiences. Highly competitive compensation, benefits and rewards programs that encourage you to bring your best every day and be recognized for doing so. An engaging, people-first work environment offering work/life balance, employee resource groups, and social events to promote interaction and camaraderie. Why Make a Move to FICO At FICO, you can develop your career with a leading organization in one of the fastest-growing fields in technology today Big Data analytics. Youll play a part in our commitment to help businesses use data to improve every choice they make, using advances in artificial intelligence, machine learning, optimization, and much more. FICO makes a real difference in the way businesses operate worldwide Credit Scoring FICO Scores are used by 90 of the top 100 US lenders. Fraud Detection and Security 4 billion payment cards globally are protected by FICO fraud systems. Lending 3/4 of US mortgages are approved using the FICO Score. Global trends toward digital transformation have created tremendous demand for FICOs solutions, placing us among the worlds top 100 software companies by revenue. We help many of the worlds largest banks, insurers, retailers, telecommunications providers and other firms reach a new level of success. Our success is dependent on really talented people just like you who thrive on the collaboration and innovation thats nurtured by a diverse and inclusive environment. Well provide the support you need, while ensuring you have the freedom to develop your skills and grow your career. Join FICO and help change the way business thinks! Learn more about how you can fulfil your potential at www.fico.com/Careers FICO promotes a culture of inclusion and seeks to attract a diverse set of candidates for each job opportunity. We are an equal employment opportunity employer and were proud to offer employment and advancement opportunities to all candidates without regard to race, color, ancestry, religion, sex, national origin, pregnancy, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Research has shown that women and candidates from underrepresented communities may not apply for an opportunity if they dont meet all stated qualifications. While our qualifications are clearly related to role success, each candidates profile is unique and strengths in certain skill and/or experience areas can be equally effective. If you believe you have many, but not necessarily all, of the stated qualifications we encourage you to apply. Information submitted with your application is subject to theFICO Privacy policy at https://www.fico.com/en/privacy-policy

NVIDIA is searching for a highly motivated software engineer for the NVIDIA NetQ team that is building a next gen Network management and Telemetry system in cloud using modern design principles at internet scale. NVIDIA NetQ is a highly scalable, modern network operations toolset that provides visibility, troubleshooting, and validation of your Cumulus fabrics in real time. NetQ utilizes telemetry and delivers actionable insights about the health of your data center network, integrating the fabric into your DevOps ecosystem. What youll be doing: Building and maintaining infrastructure components like NoSQL DB (Cassandra, Mongo), TSDB, Kafka etc Maintain CI/CD pipelines to automate the build, test, and deployment process and build improvements on the bottlenecks. Managing tools and enabling automations for redundant manual workflows via Jenkins, Ansible, Terraforms etc Enable performing scans and handling of security CVEs for infrastructure components Enable triage and handling of production issues to improve system reliability and servicing for customers What we need to see: 5+ years of experience in complex microservices based architectures and Bachelors degree. Highly skilled in Kubernetes and Docker/containerd. Experienced with modern deployment architecture for non-disruptive cloud operations including blue green and canary rollouts. Automation expert with hands on skills in frameworks like Ansible & Terraform. Strong knowledge of NoSQL DB (preferably Cassandra), Kafka/Kafka Streams and Nginx. Expert in AWS, Azure or GCP. Having good programming background in languages like Scala or Python. Knows best practices and discipline of managing a highly available and secure production infrastructure. Ways to stand out from the crowd: Experience with APM tools like Dynatrace, Datadog, AppDynamics, New Relic, etc. Skills in Linux/Unix Administration. Experience with Prometheus/Grafana. Implemented highly scalable log aggregation systems in past using ELK stack or similar. Implemented robust metrics collection and alerting infrastructure. NVIDIA is widely considered to be one of the technology world s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If youre creative, passionate and self-motivated, we want to hear from you! NVIDIA is leading the way in ground-breaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services.

Company: Mercer Description: About the role Location Gurugram Functional Area Software Engineering Education Qualification BTech/MTech from tier 1 colleges Experience: 8+ years Key Responsibilities Own and deliver complete features across the development lifecycle, including design, architecture, implementation, testability, debugging, shipping, and servicing. Write and review clean, well-thought-out code with an emphasis on quality, performance, simplicity, durability, scalability, and maintainability Performing data analysis to identify opportunities to optimize services Leading discussions for the architecture of products/solutions, refine code plans Working on research and development in cutting edge accelerations and optimizations Mentoring junior team members in their growth and development Collaborating with Product Managers, Architects, and UX Designers on new features. Core Technology skills - Java/J2EE, Full stack development, Python, Micro services, , SQL/NO SQL Databases, Cloud (AWS), API development and other open source technologies 8+years experiencebuilding highly available distributed systems at scale Configuration Management (Terraform, Chef, Puppet or Ansible) Problem-solving skills to determine the cause of bugs and resolve complaints Strong organizational skills, including an ability to perform under pressure and manage multiple priorities with competing demands for resources. Mercer, a business of Marsh McLennan (NYSEMMC), is a global leader in helping clients realize their investment objectives, shape the future of work and enhance health and retirement outcomes for their people. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businessesMarsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit mercer.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.

Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. 7+ Yrs total experience in Data Engineering projects & 4+ years of relevant experience on Azure technology services and Python Azure Azure data factory, ADLS- Azure data lake store, Azure data bricks, Mandatory Programming languages Py-Spark, PL/SQL, Spark SQL Database SQL DB Experience with AzureADLS, Databricks, Stream Analytics, SQL DW, COSMOS DB, Analysis Services, Azure Functions, Serverless Architecture, ARM Templates Experience with relational SQL and NoSQL databases, including Postgres and Cassandra. Experience with object-oriented/object function scripting languagesPython, SQL, Scala, Spark-SQL etc. Data Warehousing experience with strong domain Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Intuitive individual with an ability to manage change and proven time management Proven interpersonal skills while contributing to team effort by accomplishing related results as needed Up-to-date technical knowledge by attending educational workshops, reviewing publications Preferred technical and professional experience Experience with AzureADLS, Databricks, Stream Analytics, SQL DW, COSMOS DB, Analysis Services, Azure Functions, Serverless Architecture, ARM Templates Experience with relational SQL and NoSQL databases, including Postgres and Cassandra. Experience with object-oriented/object function scripting languagesPython, SQL, Scala, Spark-SQL etc

Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. 7+ Yrs total experience in Data Engineering projects & 4+ years of relevant experience on Azure technology services and Python Azure Azure data factory, ADLS- Azure data lake store, Azure data bricks, Mandatory Programming languages Py-Spark, PL/SQL, Spark SQL Database SQL DB Experience with AzureADLS, Databricks, Stream Analytics, SQL DW, COSMOS DB, Analysis Services, Azure Functions, Serverless Architecture, ARM Templates Experience with relational SQL and NoSQL databases, including Postgres and Cassandra. Experience with object-oriented/object function scripting languagesPython, SQL, Scala, Spark-SQL etc. Data Warehousing experience with strong domain Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Intuitive individual with an ability to manage change and proven time management Proven interpersonal skills while contributing to team effort by accomplishing related results as needed Up-to-date technical knowledge by attending educational workshops, reviewing publications Preferred technical and professional experience Experience with AzureADLS, Databricks, Stream Analytics, SQL DW, COSMOS DB, Analysis Services, Azure Functions, Serverless Architecture, ARM Templates Experience with relational SQL and NoSQL databases, including Postgres and Cassandra. Experience with object-oriented/object function scripting languagesPython, SQL, Scala, Spark-SQL etc

Role - Data Engineer / SRE Must Have - ADF, Databricks, SQL, Azure Functions Good to Have - Python, Azure DevOps, GitHub Must have a willingness to work in support and enhancement projects, on incidents, change management etc.,. Relevant 6+ yrs experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. Experience in ITSM, worked on incidents, problem tickets, change management. Experience with Azure: ADLS, ADF, Databricks, Stream Analytics, SQL DW, COSMOS DB, Analysis Services, Azure Functions. Experience with relational SQL and NoSQL databases, including Postgres and Cassandra. Experience with object-oriented/object function scripting languages: Python, SQL, Scala, Spark-SQL etc. Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. Experience building and optimizing big data data pipelines, architectures, and data sets. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. Strong analytic skills related to working with unstructured datasets. Build processes supporting data transformation, data structures, metadata, dependency, and workload management. Role - Data Engineer / SRE Must Have - ADF, Databricks, SQL, Azure Functions Good to Have - Python, Azure DevOps, GitHub Must have a willingness to work in support and enhancement projects, on incidents, change management etc.,. Relevant 6+ yrs experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. Experience in ITSM, worked on incidents, problem tickets, change management. Experience with Azure: ADLS, ADF, Databricks, Stream Analytics, SQL DW, COSMOS DB, Analysis Services, Azure Functions. Experience with relational SQL and NoSQL databases, including Postgres and Cassandra. Experience with object-oriented/object function scripting languages: Python, SQL, Scala, Spark-SQL etc. Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. Experience building and optimizing big data data pipelines, architectures, and data sets. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. Strong analytic skills related to working with unstructured datasets. Build processes supporting data transformation, data structures, metadata, dependency, and workload management.

As a Quality Engineer 2, you will play a crucial role within our dynamic development team. Your primary responsibility will be to design, implement, and maintain test scenarios and tools to uphold the highest standards of quality assurance for the diverse range of products spanning from Nosql Database Features to different connectors. You need to be instrumental in creating and executing comprehensive test strategies, spanning from unit tests to integration, system tests and non-functional tests. Testing a high-performance database like Aerospike with a global team involves coordination, collaboration, and a diverse set of skills to effectively test a high-performance Aerospike database. Required Skills Proficiency in Python programming and PyTest framework Design, implement, and maintain robust automated test suites using Python and PyTest Collaborate with cross-functional teams across global locations to ensure test coverage and product quality Analyze test results, identify bugs, and work with development teams to resolve issues Execute regular regression tests and performance checks Bachelors degree in Computer Science or Related field required. 3+ years of experience in Test Automation. Bonus Skills Experience testing NoSQL databases (e.g., Redis, MongoDB, Cassandra) Familiarity with distributed systems concepts Proficiency in shell scripting or other scripting languages. Experience in performance and scalability testing of backend systems

Synechron is seeking a knowledgeable and proactive Data Modeler to guide the design and development of data structures that support our clients' business objectives. In this role, you will collaborate with cross-functional teams to translate business requirements into scalable and efficient data models, ensuring data accuracy, consistency, and integrity. You will contribute to creating sustainable and compliant data architectures that leverage emerging technologies such as cloud, IoT, mobile, and blockchain. Your work will be instrumental in enabling data-driven decision-making and operational excellence across projects.Software Required Skills: Strong understanding of data modeling concepts, methodologies, and tools Experience with data modeling for diverse technology platforms including cloud, mobile, IoT, and blockchain Familiarity with database management systems (e.g., relational, NoSQL) Knowledge of SDLC and Agile development practices Proficiency in modeling tools such as ERwin, PowerDesigner, or similar Preferred Skills: Experience with data integration tools and ETL processes Knowledge of data governance and compliance standards Familiarity with cloud platforms (AWS, Azure, GCP) and how they impact data architectureOverall Responsibilities Collaborate with business analysts, data engineers, and stakeholders to understand data requirements and translate them into robust data models Design logical and physical data models optimized for performance, scalability, and maintainability Develop and maintain documentation for data structures, including data dictionaries and metadata Conduct reviews of data models and code to ensure adherence to quality standards and best practices Assist in designing data security and privacy measures in alignment with organizational policies Stay informed about emerging data modeling trends and incorporate best practices into project delivery Support data migration, integration, and transformation activities as needed Provide technical guidance and mentorship related to data modeling standardsTechnical Skills (By Category) Data Modeling & Data Management: EssentialLogical/physical data modeling, ER diagrams, data dictionaries PreferredDimensional modeling, data warehousing, master data management Programming Languages: PreferredSQL (expertise in writing complex queries) OptionalPython, R for data analysis and scripting Databases & Data Storage Technologies: EssentialRelational databases (e.g., Oracle, SQL Server, MySQL) PreferredNoSQL (e.g., MongoDB, Cassandra), cloud-native data stores Cloud Technologies: PreferredBasic understanding of cloud data solutions (AWS, Azure, GCP) Frameworks & Libraries: Not typically required, but familiarity with data integration frameworks is advantageous Development Tools & Methodologies: EssentialData modeling tools (ERwin, PowerDesigner), version control (Git), Agile/Scrum workflows Security & Compliance: Knowledge of data security best practices, regulatory standards like GDPR, HIPAAExperience Minimum of 8+ years of direct experience in data modeling, data architecture, or related roles Proven experience designing data models for complex systems across multiple platforms (cloud, mobile, IoT, blockchain) Experience working in Agile environments using tools like JIRA, Confluence, Git Preference for candidates with experience supporting data governance and data quality initiativesNoteEquivalent demonstrated experience in relevant projects or certifications can qualify candidates.Day-to-Day Activities Participate in daily stand-ups and project planning sessions Collaborate with cross-functional teams to understand and analyze business requirements Create, review, and refine data models and associated documentation Develop data schemas, dictionaries, and standards to ensure consistency Support data migration, integration, and performance tuning activities Conduct peer reviews and provide feedback on data models and solutions Keep current with the latest industry developments in data architecture and modeling Troubleshoot and resolve data-related technical issuesQualifications Bachelors or Masters degree in Computer Science, Data Science, Information Technology, or related fields Demonstrated experience with data modeling tools and techniques in diverse technological environments Certifications related to data modeling, data management, or cloud platforms (preferred)Professional Competencies Strong analytical and critical thinking skills to develop optimal data solutions Effective communication skills for translating technical concepts to non-technical stakeholders Ability to work independently and in collaborative team environments Skilled problem solver able to handle complex data challenges Adaptability to rapidly evolving technologies and project requirements Excellent time management and prioritization skills to deliver quality outputs consistently

Synechron is seeking a knowledgeable and proactive Data Modeler to guide the design and development of data structures that support our clients' business objectives. In this role, you will collaborate with cross-functional teams to translate business requirements into scalable and efficient data models, ensuring data accuracy, consistency, and integrity. You will contribute to creating sustainable and compliant data architectures that leverage emerging technologies such as cloud, IoT, mobile, and blockchain. Your work will be instrumental in enabling data-driven decision-making and operational excellence across projects.Software Required Skills: Strong understanding of data modeling concepts, methodologies, and tools Experience with data modeling for diverse technology platforms including cloud, mobile, IoT, and blockchain Familiarity with database management systems (e.g., relational, NoSQL) Knowledge of SDLC and Agile development practices Proficiency in modeling tools such as ERwin, PowerDesigner, or similar Preferred Skills: Experience with data integration tools and ETL processes Knowledge of data governance and compliance standards Familiarity with cloud platforms (AWS, Azure, GCP) and how they impact data architectureOverall Responsibilities Collaborate with business analysts, data engineers, and stakeholders to understand data requirements and translate them into robust data models Design logical and physical data models optimized for performance, scalability, and maintainability Develop and maintain documentation for data structures, including data dictionaries and metadata Conduct reviews of data models and code to ensure adherence to quality standards and best practices Assist in designing data security and privacy measures in alignment with organizational policies Stay informed about emerging data modeling trends and incorporate best practices into project delivery Support data migration, integration, and transformation activities as needed Provide technical guidance and mentorship related to data modeling standardsTechnical Skills (By Category) Data Modeling & Data Management: EssentialLogical/physical data modeling, ER diagrams, data dictionaries PreferredDimensional modeling, data warehousing, master data management Programming Languages: PreferredSQL (expertise in writing complex queries) OptionalPython, R for data analysis and scripting Databases & Data Storage Technologies: EssentialRelational databases (e.g., Oracle, SQL Server, MySQL) PreferredNoSQL (e.g., MongoDB, Cassandra), cloud-native data stores Cloud Technologies: PreferredBasic understanding of cloud data solutions (AWS, Azure, GCP) Frameworks & Libraries: Not typically required, but familiarity with data integration frameworks is advantageous Development Tools & Methodologies: EssentialData modeling tools (ERwin, PowerDesigner), version control (Git), Agile/Scrum workflows Security & Compliance: Knowledge of data security best practices, regulatory standards like GDPR, HIPAAExperience Minimum of 8+ years of direct experience in data modeling, data architecture, or related roles Proven experience designing data models for complex systems across multiple platforms (cloud, mobile, IoT, blockchain) Experience working in Agile environments using tools like JIRA, Confluence, Git Preference for candidates with experience supporting data governance and data quality initiativesNoteEquivalent demonstrated experience in relevant projects or certifications can qualify candidates.Day-to-Day Activities Participate in daily stand-ups and project planning sessions Collaborate with cross-functional teams to understand and analyze business requirements Create, review, and refine data models and associated documentation Develop data schemas, dictionaries, and standards to ensure consistency Support data migration, integration, and performance tuning activities Conduct peer reviews and provide feedback on data models and solutions Keep current with the latest industry developments in data architecture and modeling Troubleshoot and resolve data-related technical issuesQualifications Bachelors or Masters degree in Computer Science, Data Science, Information Technology, or related fields Demonstrated experience with data modeling tools and techniques in diverse technological environments Certifications related to data modeling, data management, or cloud platforms (preferred)Professional Competencies Strong analytical and critical thinking skills to develop optimal data solutions Effective communication skills for translating technical concepts to non-technical stakeholders Ability to work independently and in collaborative team environments Skilled problem solver able to handle complex data challenges Adaptability to rapidly evolving technologies and project requirements Excellent time management and prioritization skills to deliver quality outputs consistently

The Mastercard Data Governance & Regulation team is looking for a high-energy, detail oriented senior software engineer to help advance the Connect experience for both our customers and our internal users. This is an exciting opportunity in a fast-paced, rewarding environment. Role: Hands on 7+ years of experience with Java 11+,Spring Boot, SQL, RDBMS (Oracle and postgres), NoSQL (mongo,Cassandra) Hands on 2+ years experience in Axon/kafka/rabbimq Introduces new technologies, recommends new platforms/libraries. Ability to implement using angular js and react js Excellent at design principles such as DRY, Single Responsibility, SOLID Builds reusable frameworks Drives measurable improvements in the maintenance, operational and runtime characteristics of your team s software. Provides feedback on peer design and code includes optimization and simplification recommendations. Difficult architecture and business problems. Solutions are extensible. Outlines and takes opportunity to optimize, simplify, de-bottleneck Improves the interfaces and integrations with related teams. Develops solutions that successfully launch software or resolve architecture deficiencies. May require multiple developers. Leads projects to improve engineering, test and operations. Comprehensive knowledge of team architecture. Makes trade-offs between short terms and long term needs. Troubleshoots problems, defines root cause and permanently corrects within application and dependent systems. The Sr. Engineer is a hands-on senior developer who is experienced with Java, Angular, REST API and Jenkins, using Cloud technologies. You will be responsible for developing and running micro services Working within an Agile development methodology, you will collaborate with other engineers and tech leads to deliver an exceptional user experience to our customers. In addition, you'll have the opportunity to work with new frameworks and technologies, assist with prototyping and proof-of-concepts, participate in code reviews, and help ensure a high level of code quality from the team. Create proof of concept applications Help maintain code quality, organization, and automation Ensure adherence to established quality control practices and software development processes. All About You: Key Technology Focus Areas oJava, REST API, Pivotal Cloud Foundry, Jenkins, Angular, React , cassandra, Swagger, Git Ability to be high-energy, detail-oriented, proactive and able to function under pressure in an independent environment along with a high degree of initiative and self-motivation to drive results. Strong communication skills, both verbal and written, with strong relationship, collaborative and organization skills Ability to quickly learn and implement new technologies, frameworks and tools and support multiple concurrent activities

Project description As a DevOps Operational Support for this project, you will have the opportunity to contribute to the data management architecture of industry leading software. You will work closely with cross-functional teams and regional experts to design, implement, and support solutions with a focus on data security and global availability to facilitate data-driven decisions for our customers. This is your chance to work on a stable, long-term project with a global client, focusing on digital transformation and change management. Why Join Us - Exciting OpportunitiesWork in squads under our customer's direction, utilizing Agile methodologies and Scrum. - Innovative ApplicationContribute to an application that guides and documents the sales order process, aids in market analysis, and ensures competitive pricing. - Workflow GovernanceBe part of a team that integrates digital and human approvals, ensuring seamless integration with a broader ecosystem of applications. - Global ExposureCollaborate with reputed global clients, delivering top-notch solutions. - Career GrowthJoin high-caliber project teams with front-end, back-end, and database developers, offering ample opportunities to learn, grow, and advance your career. If you have strong technical skills, effective communication abilities, and a commitment to security, we want you on our team! Ready to make an impactApply now and be part of our journey to success! Responsibilities 1.Solve Operational ChallengesWork with global teams to find creative solutions for customers across our software catalog 2.Customer DeploymentsPlan, provision, and configure enterprise-level solutions for customers on a global scale. 3.Monitoring and TroubleshootingMonitor customer environments to proactively identify and resolve issues while providing support for incidents. 4.AutomationLeverage and maintain automation pipelines to handle all stages of the software lifecycle. 5.DocumentationWrite and maintain documentation for processes, configurations, and procedures. 6.Meet SRE & MTTR GoalsLead the team in troubleshooting environment failures within SRE MTTR goals. 7.Collaborate and DefineWork closely with stakeholders to define project requirements and deliverables and understand their needs and challenges. 8.Implement Best PracticesEnsure the highest standards in coding and security, with a strong emphasis on protecting systems and data. 9.Strategize and PlanTake an active role in defect triage, strategy, and architecture planning. 10. Maintain PerformanceEnsure database performance and resolve development problems. 11.Deliver QualityTranslate requirements into high-quality solutions, adhering to Agile methodologies. 12.Review and ValidateConduct detailed design reviews to ensure alignment with approved architecture. 13.CollaborateWork with application development teams throughout development, deployment, and support phases. Skills Must have Technical Skills: Database technologiesRDBMS (Postgres preferred), no-SQL (Cassandra preferred) Software languagesJava, Python, NodeJS, Angular Cloud PlatformsAWS Cloud Managed ServicesMessaging, Server-less Computing, Blob Storage Provisioning (Terraform, Helm), Containerization (Docker, Kubernetes preferred) Version ControlGit. Qualification and Soft Skills: Bachelors degree in Computer Science, Software Engineering, or a related field Customer-driven and result-oriented focus. Excellent problem-solving and troubleshooting skills. Ability to work independently and as part of a team. Strong communication and collaboration skills. Strong desire to stay up to date with the latest trends and technologies in the field. Nice to have Cloud TechnologiesRDS, Azure Knowledge in the E&P Domain (Geology, Geophysics, Well, Seismic or Production data types) GIS experience is desirable OtherLanguagesEnglishC2 Proficient SeniorityRegular

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities,collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow.Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Your role As a Senior Data Scientist, you are expected to develop and implement Artificial Intelligence based solutions across various disciplines for the Intelligent Industry vertical of Capgemini Invent. You are expected to work as an individual contributor or along with a team to help design and develop ML/NLP models as per the requirement. You will work closely with the Product Owner, Systems Architect and other key stakeholders right from conceptualization till the implementation of the project. You should take ownership while understanding the client requirement, the data to be used, security & privacy needs and the infrastructure to be used for the development and implementation. The candidate will be responsible for executing data science projects independently to deliver business outcomes and is expected to demonstrate domain expertise, develop, and execute program plans and proactively solicit feedback from stakeholders to identify improvement actions. This role requires a strong technical background, excellent problem-solving skills, and the ability to work collaboratively with stakeholders from different functional and business teams. The role also requires the candidate to collaborate on ML asset creation and eager to learn and impart trainings to fellow data science professionals. We expect thought leadership from the candidate, especially on proposing to build a ML/NLP asset based on expected industry requirements. Experience in building Industry specific (e.g. Manufacturing, R&D, Supply Chain, Life Sciences etc), production ready AI Models using microservices and web-services is a plus. Programming Languages Python NumPy, SciPy, Pandas, MatPlotLib, Seaborne Databases RDBMS (MySQL, Oracle etc.), NoSQL Stores (HBase, Cassandra etc.) ML/DL Frameworks SciKitLearn, TensorFlow (Keras), PyTorch, Big data ML Frameworks - Spark (Spark-ML, Graph-X), H2O Cloud Azure/AWS/GCP Your Profile Predictive and Prescriptive modelling using Statistical and Machine Learning algorithms including but not limited to Time Series, Regression, Trees, Ensembles, Neural-Nets (Deep & Shallow CNN, LSTM, Transformers etc.). Experience with open-source OCR engines like Tesseract, Speech recognition, Computer Vision, face recognition, emotion detection etc. is a plus. Unsupervised learning Market Basket Analysis, Collaborative Filtering, Dimensionality Reduction, good understanding of common matrix decomposition approaches like SVD. Various Clustering approaches Hierarchical, Centroid-based, Density-based, Distribution-based, Graph-based clustering like Spectral. NLP Information Extraction, Similarity Matching, Sentiment Analysis, Text Clustering, Semantic Analysis, Document Summarization, Context Mapping/Understanding, Intent Classification, Word Embeddings, Vector Space Models, experience with libraries like NLTK, Spacy, Stanford Core-NLP is a plus. Usage of Transformers for NLP and experience with LLMs like (ChatGPT, Llama) and usage of RAGs (vector stores like LangChain & LangGraps), building Agentic AI applications. Model Deployment ML pipeline formation, data security and scrutiny check and ML-Ops for productionizing a built model on-premises and on cloud. Required Qualifications Masters degree in a quantitative field such as Mathematics, Statistics, Machine Learning, Computer Science or Engineering or a bachelors degree with relevant experience. Good experience in programming with languages such as Python/Java/Scala, SQL and experience with data visualization tools like Tableau or Power BI. Preferred Experience Experienced in Agile way of working, manage team effort and track through JIRA Experience in Proposal, RFP, RFQ and pitch creations and delivery to the big forum. Experience in POC, MVP, PoV and assets creations with innovative use cases Experience working in a consulting environment is highly desirable. Presupposition High Impact client communication The job may also entail sitting as well as working at a computer for extended periods of time. Candidates should be able to effectively communicate by telephone, email, and face to face. What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI.

As Consultant, you are responsible to develop design of application, provide regular support/guidance to project teams on complex coding, issue resolution and execution. Your primary responsibilities include: Lead the design and construction of new mobile solutions using the latest technologies, always looking to add business value and meet user requirements. Strive for continuous improvements by testing the build solution and working under an agile framework. Discover and implement the latest technologies trends to maximize and build creative solutions Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Configure Datastax Cassandra as per requirement of the project solution Design the database system specific to Cassandra in consultation with the data modelers, data architects and etl specialists as well as the microservices/ functional specialists. Thereby produce an effective database system in Cassandra according to the solution & client's needs and specifications. Interface with functional & data teams to ensure the integrations with other functional and data systems are working correctly and as designed. Participate in responsible or supporting roles in different tests or UAT that involve the DataStax Cassandra database. The role will also need to ensure that the Cassandra database is performing and error free. This will involve troubleshooting errors and performance issues and resolution of the same as well as plan for further database improvement. Ensure the database documentation & operation manual is up to date and usable Preferred technical and professional experience Has expertise, experience and deep knowledge in the configuration, design, troubleshooting of NoSQL server software and related products on Cloud, specifically DataStax Cassandra. Has knowledge/ experience in other NoSQl/ Cloud database. Installs, configures and upgrades RDBMS or NoSQL server software and related products on Cloud

Job Title - + + Management Level: Location:Kochi, Coimbatore, Trivandrum Must have skills:installation, configuration and management of Linux /Windows systems Good to have skills:JIRA/Confluence Job Summary As a L2 Cloud Operations Engineer, you will be operating an e-commerce solution built over on-prem and cloud infrastructure. You will be involved in maintaining and improving the clients business platforms and also will be responsible for the site reliability and platform stability. You will be expected to respond to incidents, support on problems, execute changes and be part of a project to improve or reengineer the platform. Roles and Responsibilities Continuous monitoring of the platforms performance and uptime Fast identification and resolution of incidents Resolution of service requests Managing the platform configuration to ensure it is optimized and up to date Improved efficiency by automating routine tasks Professional and Technical Skills You must have a strong technical aptitude and an organized, process driven work ethic. 3.5-5 years of relevant experience with installation, configuration and management of Linux /Windows systems. Strong working experience in managing and maintaining public clouds like AWS, Azure or GCP. Strong experience in setting up and configuring monitoring tools like Prometheus, Grafana, Zabbix etc Strong Experience with installation/configuration of Java application servers such as Jboss/WebLogic/Tomcat and also analyzing application logs, GC logs for troubleshooting performance and functional issues. Hands on experience in cloud provisioning tools like Terraform/CloudFormation will be an added advantage Hands on experience with Docker/Kubernetes will be an added advantage Experience in ELK/Kafka/Openshift/Python script will be an added advantage Good knowledge of SQL and NoSQL databases like MySQL/Oracle/PostgreSQL/DynamoDB/MongoDB/Cassandra/Redis You will have strong written and verbal communications skills and a track record for providing high customer satisfaction. Develop automation scripts as needed to enhance operational efficiencies Has prior experience in supporting Jira/Confluence or any other service management tool Prior experience working in Agile environment will be an advantage. Additional Information (do not remove the hyperlink) Qualification Experience:3.5 -5 years of experience is required Educational Qualification:Graduation (Accurate educational details should capture)

Project Role : Software Development Engineer Project Role Description : Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work. Must have skills : SAP HANA DB Administration, PostgreSQL Administration, Hadoop Administration, Ansible on Microsoft Azure Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 16 years full time educationCloud Database Engineer HANARequired Skills: SAP HANA Database Administration - Knowledge of clustering, replication, and load balancing techniques to ensure database availability and reliabilityProficiency in monitoring and maintaining the health and performance of high availability systemsExperience with public cloud platforms such as GCP, AWS, or AzureStrong troubleshooting skills and the ability to provide effective resolutions for technical issuesDesired Skills: Understanding of Cassandra, Ansible, Terraform, Kafka, Redis, Hadoop or Postgres. Growth and product mindset and a strong focus on automation. Working knowledge of Kubernetes for container orchestration and scalability. Activities:Collaborate closely with cross-functional teams to gather requirements and support SAP teams to execute database initiatives. Automate the provisioning and configuration of cloud infrastructure, ensuring efficient and reliable deployments. Provide operational support to monitor database performance, implement changes, and apply new patches and versions when required and previously agreed . Act as the point of contact for escalated technical issues with our Engineering colleagues, demonstrating deep troubleshooting skills to provide effective resolutions to unblock our partners. :Bachelors degree in computer science, Engineering, or a related field. Proven experience in planning, deploying, supporting, and optimizing highly scalable and resilient SAP HANA database systems. Ability to collaborate effectively with cross-functional teams to gather requirements and convert them into measurable scopes. troubleshooting skills and the ability to provide effective resolutions for technical issues. Familiarity with public cloud platforms such as GCP, AWS, or Azure. Understands Agile principles and methodologies. Qualification 16 years full time education

Description Enphase Energy is a global energy technology company and leading provider of solar, battery, and electric vehicle charging products. Founded in 2006, Enphase transformed the solar industry with our revolutionary microinverter technology, which turns sunlight into a safe, reliable, resilient, and scalable source of energy to power our lives. Today, the Enphase Energy System helps people make, use, save, and sell their own power. Enphase is also one of the fastest growing and innovative clean energy companies in the world, with approximately 68 million products installed across more than 145 countries. We are building teams that are designing, developing, and manufacturing next-generation energy technologies and our work environment is fast-paced, fun and full of exciting new projects. If you are passionate about advancing a more sustainable future, this is the perfect time to join Enphase! About the role At Enphase, we think big. We re on a mission to bring solar energy to the next level, one where it s ready to meet the energy demands of an entire globe. As we work towards our vision for a solar-powered planet, we need visionary and talented people to join our team as Senior Back-End engineers. The Back-End engineer will develop, maintain, architect expand cloud microservices for the EV (Electric Vehicle) Business team. Codebase uses Java, Spring Boot, Mongo, REST APIs, MySQL. Applications are dockized and hosted in AWS using a plethora of AWS services. What you will be doing Programming in Java + Spring Boot REST API with JSON, XML etc. for data transfer Multiple database proficiency including SQL and NoSQL (Cassandra, MongoDB) Ability to develop both internal facing and external facing APIs using JWT and OAuth2.0 Familiar with HA/DR, scalability, performance, code optimizations Experience with working with highly performance and throughput systems Ability to define, track and deliver items to one s own schedule. Good organizational skills and the ability to work on more than one project at a time. Exceptional attention to detail and good communication skills Who you are and what you bring B.E/B.Tech in Computer Science from top tier college and >70% marks More than 4 years of overall Back-End development experience Experience with SQL + NoSQL (Preferably MongoDB) Experience with Amazon Web Services, JIRA, Confluence, GIT, Bitbucket etc. Ability to work independently and as part of a project team. Strong organizational skills, proactive, and accountable Excellent critical thinking and analytical problem-solving skills Ability to establish priorities and proceed with objectives without supervision. Ability to communicate effectively and accurately. clear concise written project status update throughout the project lifecycle Highly skilled at facilitating and documenting requirements Excellent facilitation, collaboration, and presentation skills Comfort with ambiguity, frequent change, or unpredictability Good Practice of writing clean and scalable code Exposure or knowledge in Renewable Tech companies Good understanding of cloud technologies, such as Docker, Kubernetes, EKS, Kafka, AWS Kinesis etc. Knowledge of NoSQL Database systems like MongoDB or CouchDB, including Graph Databases Ability to work in a fast-paced environment. Exposure or knowledge in Renewable Tech companies

Join our Team About this Opportunity The complexity of running and optimizing the next generation of wireless networks, such as 5G with distributed edge compute, will require Machine Learning (ML) and Artificial Intelligence (AI) technologies. Ericsson is setting up an AI Accelerator Hub in India to fast-track our strategy execution, using Machine Intelligence (MI) to drive thought leadership, automate, and transform Ericsson s offerings and operations. We collaborate with academia and industry to develop state-of-the-art solutions that simplify and automate processes, creating new value through data insights. What you will do As a Senior Data Scientist, you will apply your knowledge of data science and ML tools backed with strong programming skills to solve real-world problems. Responsibilities: 1. Lead AI/ML features/capabilities in product/business areas 2. Define business metrics of success for AI/ML projects and translate them into model metrics 3. Lead end-to-end development and deployment of Generative AI solutions for enterprise use cases 4. Design and implement architectures for vector search, embedding models, and RAG systems 5. Fine-tune and evaluate large language models (LLMs) for domain-specific tasks 6. Collaborate with stakeholders to translate vague problems into concrete Generative AI use cases 7. Develop and deploy generative AI solutions using AWS services such as SageMaker, Bedrock, and other AWS AI tools. Provide technical expertise and guidance on implementing GenAI models and best practices within the AWS ecosystem. 8. Develop secure, scalable, and production-grade AI pipelines 9. Ensure ethical and responsible AI practices 10. Mentor junior team members in GenAI frameworks and best practices 11. Stay current with research and industry trends in Generative AI and apply cutting-edge techniques 12. Contribute to internal AI governance, tooling frameworks, and reusable components 13. Work with large datasets including petabytes of 4G/5G networks and IoT data 14. Propose/select/test predictive models and other ML systems 15. Define visualization and dashboarding requirements with business stakeholders 16. Build proof-of-concepts for business opportunities using AI/ML 17. Lead functional and technical analysis to define AI/ML-driven business opportunities 18. Work with multiple data sources and apply the right feature engineering to AI models 19. Lead studies and creative usage of new/existing data sources What you will bring 1. Bachelors/Masters/Ph.D. in Computer Science, Data Science, AI, ML, Electrical Engineering, or related disciplines from reputed institutes 2. 3+ years of applied ML/AI production-level experience 3. Strong programming skills (R/Python) 4. Proven ability to lead AI/ML projects end-to-end 5. Strong grounding in mathematics, probability, and statistics 6. Hands-on experience with data analysis, visualization techniques, and ML frameworks (Python, R, H2O, Keras, TensorFlow, Spark ML) 7. Experience with semi-structured/unstructured data for AI/ML models 8. Strong understanding of building AI models using Deep Neural Networks 9. Experience with Big Data technologies (Hadoop, Cassandra) 10. Ability to source and combine data from multiple sources for ML models Preferred Qualifications: 1. Good communication skills in English 2. Certifying MI MOOCs, a plus 3. Domain knowledge in Telecommunication/IoT, a plus 4. Experience with data visualization and dashboard creation, a plus 5. Knowledge of Cognitive models, a plus 6. Experience in partnering and collaborative co-creation in a global matrix organization. Why join Ericsson What happens once you apply Primary country and city: India (IN) || Bangalore Req ID: 766481

Job Title: Senior Engineer Location: Bengaluru, India - (Hybrid) At Reltio , we believe data should fuel business success. Reltio s AI-powered data unification and management capabilities encompassing entity resolution, multi-domain master data management (MDM), and data products transform siloed data from disparate sources into unified, trusted, and interoperable data. Reltio Data Cloud delivers interoperable data where and when its needed, empowering data and analytics leaders with unparalleled business responsiveness. Leading enterprise brands across multiple industries around the globe rely on our award-winning data unification and cloud-native MDM capabilities to improve efficiency, manage risk and drive growth. At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our Customer First , we strive to ensure their success. We embrace our differences and are Better Together as One Reltio. We are always looking to Simplify and Share our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We Own It . Every day, we innovate and evolve, so that today is Always Better Than Yesterday . If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence. Reltio has earned numerous awards and top rankings for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let s talk! Job Summary: Core Platform development is spread across multiple cross-functional teams, each building large and complex components of the MDM platform. Engineer plays senior role in a team is technically responsible for particular feature delivery which consists of: Presenting a solution to Architects Technical drive feature delivery, make decisions, development leadership - distribute tasks across one or two regular engineers Work with QA to review testing approaches, provide all details needed for testing, and review test plans Be responsible for all internal feature documentation Job Duties and Responsibilities: Deliver features with high quality, and be customer-focused. Champion engineering excellence, raise the bar on code coverage, coding guidelines, and review processes. Provide technical leadership and mentor junior team members. Deal with ambiguity in complex problems, show bias for action. Work closely with architects to actively shape the architecture of your work area and the broader product. Work closely with PM, QA Doc teams to ensure a thorough testing strategy, robust deployment, and lucid documentation of features. Effective communication with cross-functional teams and global stakeholders. Skills You Must Have: An engineering degree in the computer science field Solid foundation in computer science, with strong competencies in algorithms, data structures, software design, and building large, distributed systems 5+ years of experience in the design and development of products for enterprise customers. 4+ years of experience in building large-scale distributed data systems in Java and cloud technologies. Proven track record of building functionalities from conception to delivery, engaging with customers and partners to drive successful adoption and customer satisfaction. Experience in leading projects with a crew of engineers, providing technical mentorship. Experience building services on one of the 3 major cloud service providers: AWS, Azure or GCP, hands-on experience in managed cloud databases Skills That Are Nice to Have: Experience working with NoSQL databases like Cassandra, and queue services like SQS Experience in cloud security principles Experience with Kubernetes Experience with big data technologies Experience in driving customer focus for SaaS products is a big plus Why Join Reltio* Health Wellness: Comprehensive Group medical insurance including your parents with additional top-up options. Accidental Insurance Life insurance Free online unlimited doctor consultations An Employee Assistance Program (EAP) Work-Life Balance: 36 annual leaves, which includes Sick leaves - 18, Earned Leaves - 18 26 weeks of maternity leave, 15 days of paternity leave Very unique to Reltio - 01 week of additional off as recharge week every year globally Support for home office setup: Home office setup allowance. Stay Connected, Work Flexibly: Mobile Internet Reimbursement No need to pack a lunch we ve got you covered with a free meal.And many more ..

Want to be on a team that full of results-driven individuals who are constantly seeking to innovateWant to make an impactAt SailPoint, our Engineering team does just that. Our engineering is where high-quality professional engineering meets individual impact. Our team creates products are built on a mature, cloud-native event-driven microservices architecture hosted in AWS. Were seeking a Sr. DevOps Engineer with DataStax Cassandra experience to be a key player on the Data Infrastructure team. He/She will proactively work with Engineering, Product, Services, and other functional departments to implement and operate our global customer-facing SaaS infrastructure. The ideal candidate will be a self-starter who enjoys a fast-paced job, thrives on problem solving, and is committed to delivering seamless product availability to large enterprises around the world. Responsibilities: Build and maintain a resilient, secure, and efficient SaaS application platform to meet established SLAs Automate deployment, monitoring, management and incident response Monitor site stability and performance and troubleshoot site issues Scale infrastructure to meet rapidly increasing demand Collaborate with product development teams to optimize workloads Manage cross-functional requirements working with Engineering, Product, Services, and other departments. Collaborate with developers to bring new features and services into production Develop and improve operational practices and procedures Proactively meet standards for information security and compliance, such as ISO, SOX, SSAE 16, etc. Background Experience: 5+ years Experience in 24x7 production operations, preferably supporting a highly available environment for a SaaS or cloud service provider experience with cloud infrastructure environments, preferably AWS Experience with containerization technology, preferably Docker Experience with DataStax Cassandra Release automation (Jenkins, etc), system administration, system configuration, and system debugging experience Experience using scripting languages (Python, Node, etc.), Infrastructure as Code tools (Terraform, etc.) and command execution frameworks Strong understanding of system and networking concepts and troubleshooting techniques Strong interpersonal and teaming skills - ability to set and enforce process and influence engineers who are not direct reports. Ability to operate in an agile, entrepreneurial start-up environment. Education: Bachelors degree in Computer Science or other technical discipline, or equivalent experience. What success looks like in the role Within the first 30 days you will: Onboard into your new role, get familiar with our product offering and technology and code bases, proactively meet peers and stakeholders to become familiar with our use cases and where your expertise can provide guidance. Seek to deeply understand business problems or common engineering challenges and propose software architecture designs to solve them elegantly by abstracting useful common patterns. By 90 days: Proactively collaborate on, discuss, debate and refine ideas, problem statements, and software designs with different (sometimes many) stakeholders, architects and members of your team. Take a committed approach to prototyping and co-implementing systems alongside less experienced engineers on your team there s no room for ivory towers here. Collaborate with peers to develop processes and process documentation. By 6 months: Share support of critical team systems by participating in on-call rotation, learning the characteristics of currently running systems, and participating in improvements. Occasionally serve as a debugging and implementation expert during escalations of systems issues that have evaded the ability of less experienced engineers to solve in a timely manner.

About this Opportunity The complexity of running and optimizing the next generation of wireless networks, such as 5G with distributed edge compute, will require Machine Learning (ML) and Artificial Intelligence (AI) technologies. Ericsson is setting up an AI Accelerator Hub in India to fast-track our strategy execution, using Machine Intelligence (MI) to drive thought leadership, automate, and transform Ericsson s offerings and operations. We collaborate with academia and industry to develop state-of-the-art solutions that simplify and automate processes, creating new value through data insights. What you will do As a Senior Data Scientist, you will apply your knowledge of data science and ML tools backed with strong programming skills to solve real-world problems. Responsibilities: 1. Lead AI/ML features/capabilities in product/business areas 2. Define business metrics of success for AI/ML projects and translate them into model metrics 3. Lead end-to-end development and deployment of Generative AI solutions for enterprise use cases 4. Design and implement architectures for vector search, embedding models, and RAG systems 5. Fine-tune and evaluate large language models (LLMs) for domain-specific tasks 6. Collaborate with stakeholders to translate vague problems into concrete Generative AI use cases 7. Develop and deploy generative AI solutions using AWS services such as SageMaker, Bedrock, and other AWS AI tools. Provide technical expertise and guidance on implementing GenAI models and best practices within the AWS ecosystem. 8. Develop secure, scalable, and production-grade AI pipelines 9. Ensure ethical and responsible AI practices 10. Mentor junior team members in GenAI frameworks and best practices 11. Stay current with research and industry trends in Generative AI and apply cutting-edge techniques 12. Contribute to internal AI governance, tooling frameworks, and reusable components 13. Work with large datasets including petabytes of 4G/5G networks and IoT data 14. Propose/select/test predictive models and other ML systems 15. Define visualization and dashboarding requirements with business stakeholders 16. Build proof-of-concepts for business opportunities using AI/ML 17. Lead functional and technical analysis to define AI/ML-driven business opportunities 18. Work with multiple data sources and apply the right feature engineering to AI models 19. Lead studies and creative usage of new/existing data sources What you will bring 1. Bachelors/Masters/Ph.D. in Computer Science, Data Science, AI, ML, Electrical Engineering, or related disciplines from reputed institutes 2. 3+ years of applied ML/AI production-level experience 3. Strong programming skills (R/Python) 4. Proven ability to lead AI/ML projects end-to-end 5. Strong grounding in mathematics, probability, and statistics 6. Hands-on experience with data analysis, visualization techniques, and ML frameworks (Python, R, H2O, Keras, TensorFlow, Spark ML) 7. Experience with semi-structured/unstructured data for AI/ML models 8. Strong understanding of building AI models using Deep Neural Networks 9. Experience with Big Data technologies (Hadoop, Cassandra) 10. Ability to source and combine data from multiple sources for ML models Preferred Qualifications: 1. Good communication skills in English 2. Certifying MI MOOCs, a plus 3. Domain knowledge in Telecommunication/IoT, a plus 4. Experience with data visualization and dashboard creation, a plus 5. Knowledge of Cognitive models, a plus 6. Experience in partnering and collaborative co-creation in a global matrix organization. Primary country and city: India (IN) || Bangalore Req ID: 766481

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Full Stack Engineer Overview: - Have you ever developed an application with scalability and global distribution in mind? - Do you want to be a part of a collaborative environment, and energetic, innovative team? - Are you motivated to stay on the cutting edge of technology? The Mastercard Data Governance & Regulation team is looking for a high-energy, detail oriented senior software engineer to help advance the Connect experience for both our customers and our internal users. This is an exciting opportunity in a fast-paced, rewarding environment. Role: Hands on 7+ years of experience with Java 11+,Spring Boot, SQL, RDBMS (Oracle and postgres), NoSQL (mongo,Cassandra) Hands on 2+ years experience in Axon/kafka/rabbimq Introduces new technologies, recommends new platforms/libraries. Ability to implement using angular js and react js Excellent at design principles such as DRY, Single Responsibility, SOLID Builds reusable frameworks Drives measurable improvements in the maintenance, operational and runtime characteristics of your team s software. Provides feedback on peer design and code includes optimization and simplification recommendations. Difficult architecture and business problems. Solutions are extensible. Outlines and takes opportunity to optimize, simplify, de-bottleneck Improves the interfaces and integrations with related teams. Develops solutions that successfully launch software or resolve architecture deficiencies. May require multiple developers. Leads projects to improve engineering, test and operations. Comprehensive knowledge of team architecture. Makes trade-offs between short terms and long term needs. Troubleshoots problems, defines root cause and permanently corrects within application and dependent systems. The Sr. Engineer is a hands-on senior developer who is experienced with Java, Angular, REST API and Jenkins, using Cloud technologies. You will be responsible for developing and running micro services Working within an Agile development methodology, you will collaborate with other engineers and tech leads to deliver an exceptional user experience to our customers. In addition, youll have the opportunity to work with new frameworks and technologies, assist with prototyping and proof-of-concepts, participate in code reviews, and help ensure a high level of code quality from the team. Create proof of concept applications Help maintain code quality, organization, and automation Ensure adherence to established quality control practices and software development processes. All About You: Key Technology Focus Areas o Java, REST API, Pivotal Cloud Foundry, Jenkins, Angular, React , cassandra, Swagger, Git Ability to be high-energy, detail-oriented, proactive and able to function under pressure in an independent environment along with a high degree of initiative and self-motivation to drive results. Strong communication skills, both verbal and written, with strong relationship, collaborative and organization skills Ability to quickly learn and implement new technologies, frameworks and tools and support multiple concurrent activities Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard s guidelines.