Job Summary •At least 4+ years of experience with Appian skillset and 7+ years in IT •Experience with Appian 20.x & above •Appian Certified Developer and Sr.Developer •Good understanding on defining and managing Security •Experience with SAIL scripting •Experience with building and using CDTs •Experience with Task Reports, Records, Sites •Worked with external integration •Sound Knowledge on RDBMS •Should have good knowledge on Appian best practices suggested by Appian •Ability to understand/gather requirements and design/implement them •Excellent communication skills •Understanding of server side configuration used by Appian and their relevant use •Ability to Analyze and identify errors from Log files Responsibilities Develop and maintain applications using Appian Solution Development to meet business requirements. Utilize MariaDB for database management and ensure data integrity. Implement BPMN Modeling to streamline business processes and improve efficiency. Leverage Appian RPA to automate repetitive tasks and enhance productivity. Integrate Appian AI to provide intelligent solutions and improve decision-making processes. Collaborate with cross-functional teams to design and implement J2EE-based solutions. Conduct code reviews to ensure adherence to best practices and coding standards. Provide technical support and troubleshooting for existing applications. Participate in requirement gathering sessions to understand business needs and translate them into technical specifications. Develop and execute unit tests to ensure the quality and functionality of the applications. Maintain documentation for all development activities and update as necessary. Stay updated with the latest industry trends and technologies to continuously improve skills and knowledge. Contribute to the overall success of the company by delivering high-quality solutions that meet client expectations.

We are looking for candidates with the knowledge of below criterias: Role & Responsibilities: - Should have experience of MySQL installation and configuration on Linux as well as Windows platforms. - Experience in managing databases on Cloud platforms AWS - Responsible for working with a team of database administrators who will work to deploy, support and continuously improve mission-critical database systems and their operations. - Should be self-motivated and passionate about cloud infrastructure and automation within the database context. - Should be experienced in handling stringent SLA in database management. Good knowledge of database designing and data normalization. - Strong verbal and written communication skills Certification in RDBMS. - Good knowledge on security management on database servers - Ability to manage import/export/restoration of physical and logical backup - Good knowledge on DB upgrade including minor/major version - Good knowledge on troubleshooting - Should know the client tools like workbench, SQL-Shell, putty - Managing user/privileges/roles access for database servers - Database maintenance activities - Hardening of database - MySQL DB Version upgrade Key Result Area: Administration, Configuration and Monitoring of MySQL instances in production, test and development environments

Client: Infosys | Payroll: RLE | Location: Bangalore (Primary), Pune (Secondary) | Mode: Hybrid (10 days WFO/month) | NP: Immediate–15th June Joiners | Interview: IWA + 2 Rounds | Shift: 8 AM–5:30 PM | Domain: Banking | Contract: 12 months

Senior Data Scientist - NAV02EG Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-MM-Mumbai, IND-WB-Kolkata, IND-MM-Pune, IND-TN-Chennai Job Digital Solutions Schedule Full-time Employment Type Employee Job Level Experienced Job Posting May 8, 2025 Unposting Date Jun 7, 2025 Reporting Manager Title Head of Data Intelligence Duration of Contract 0 Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. Were bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. Worley Digital At Worley, our Digital team collaborates closely with the business to deliver efficient, technology-enabled sustainable solutions, that will be transformational for Worley. This team, aptly named Worley Digital, is currently seeking talented individuals who would be working on a wide range of latest technologies, including solutions based on Automation, Generative AI. What drives us at Worley Digital? Its our shared passion for pushing the boundaries of technological innovation, embracing best practices, and propelling Worley to the forefront of industry advancements. If youre naturally curious, open-minded, and a self-motivated learner - one whos ready to invest time and effort to stay future-ready - then Worley could be your ideal workplace. Major Accountabilities of PositionAI/ML Architect must have Defining, designing, and delivering ML architecture patterns operable in native and hybrid cloud architectures. Collaborate with Enterprise Architecture, Info Security, DevOps and Data Intelligence team to implement ML Solutions. Defining data augmentation pipelines for unstructured data like Documents, Engineering drawings etc. Build new network architecture in CNN/LSTM/RCNN or Develop wrapper for pre-trained models. Conduct feasibility of transfer learning fitment for given problem. Research, analyze, recommend, and select technical approaches to address challenging development and data integration problems related to ML Model training and deployment in Enterprise Applications. Perform research activities to identify emerging technologies (Generative AI) and trends that may affect the Data Science/ ML life-cycle management in enterprise application portfolio. Design and deploy AI/ML models in real-world environments and integrating AI/ML using Cloud native or hybrid technologies into large-scale enterprise applications .Demonstrated experience developing best practices and recommendations around tools/technologies for ML life-cycle capabilities such as Data collection, Data preparation, Feature Engineering, Model Management, ML Ops, Model Deployment approaches and Model monitoring and tuning. Knowledge / Experience / Competencies Required IT Skills & Experience (Priority wise) 1. Hands-on programming and architecture capabilities in Python. 2. Demonstrated technical expertise around architecting solutions around AI, ML, deep learning and Generative AI related technologies. 3. Experience in implementing and deploying Machine Learning solutions (using various models, such as GPT-4, Lama2, Mistral ai, text embedding ada, Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Topic Modeling, Game Theory etc. ) 4. Understanding of Nvidia Enterprise NEMO Suite. 5. Expertise in popular deep learning frameworks, such as TensorFlow, PyTorch, and Keras, for building, training, and deploying neural network models. 6. Experience in AI solution development with external SaaS products like Azure OCR 7. Experience in the AI/ML components like Azure ML studio, Jupyter Hub, TensorFlow & Sci-Kit Learn 8. Hands-on knowledge of API frameworks. 9. Familiarity with the transformer architecture and its applications in natural language processing (NLP), such as machine translation, text summarization, and question-answering systems. 10. Expertise in designing and implementing CNNs for computer vision tasks, such as image classification, object detection, and semantic segmentation. 11. Hands on experience in RDBMS, NoSQL, big data stores likeElastic, Cassandra. 12. Experience with open source software 13. Experience using the cognitive APIs machine learning studios on cloud. 14. Hands-on knowledge of image processing with deep learning ( CNN,RNN,LSTM,GAN) 15. Familiarity with GPU computing and tools like CUDA and cu DNN to accelerate deep learning computations and reduce training times. 16. Understanding of complete AI/ML project life cycle 17.

Senior Data Scientist - NAV02ED Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-MM-Mumbai, IND-WB-Kolkata, IND-MM-Pune, IND-TN-Chennai Job Digital Solutions Schedule Full-time Employment Type Employee Job Level Experienced Job Posting May 8, 2025 Unposting Date Jun 7, 2025 Reporting Manager Title Head of Data Intelligence Duration of Contract 0 Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. Were bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. Major Accountabilities of Position a AI/ML Architect must have Defining, designing, and delivering ML architecture patterns operable in native and hybrid cloud architectures. Collaborate with Enterprise Architecture, Info Security, DevOps and Data Intelligence team to implement ML Solutions. Defining data augmentation pipelines for unstructured data like Documents, Engineering drawings etc. Build new network architecture in CNN/LSTM/RCNN or Develop wrapper for pre-trained models. Conduct feasibility of transfer learning fitment for given problem. Research, analyze, recommend, and select technical approaches to address challenging development and data integration problems related to ML Model training and deployment in Enterprise Applications. Perform research activities to identify emerging technologies (Generative AI) and trends that may affect the Data Science/ ML life-cycle management in enterprise application portfolio. Design and deploy AI/ML models in real-world environments and integrating AI/ML using Cloud native or hybrid technologies into large-scale enterprise applications .Demonstrated experience developing best practices and recommendations around tools/technologies for ML life-cycle capabilities such as Data collection, Data preparation, Feature Engineering, Model Management, ML Ops, Model Deployment approaches and Model monitoring and tuning. Knowledge / Experience / Competencies Required IT Skills & Experience (Priority wise) 1. Hands-on programming and architecture capabilities in Python. 2. Demonstrated technical expertise around architecting solutions around AI, ML, deep learning and Generative AI related technologies. 3. Experience in implementing and deploying Machine Learning solutions (using various models, such as GPT-4, Lama2, Mistral ai, text embedding ada, Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Topic Modeling, Game Theory etc. ) 4. Understanding of Nvidia Enterprise NEMO Suite. 5. Expertise in popular deep learning frameworks, such as TensorFlow, PyTorch, and Keras, for building, training, and deploying neural network models. 6. Experience in AI solution development with external SaaS products like Azure OCR 7. Experience in the AI/ML components like Azure ML studio, Jupyter Hub, TensorFlow & Sci-Kit Learn 8. Hands-on knowledge of API frameworks. 9. Familiarity with the transformer architecture and its applications in natural language processing (NLP), such as machine translation, text summarization, and question-answering systems. 10. Expertise in designing and implementing CNNs for computer vision tasks, such as image classification, object detection, and semantic segmentation. 11. Hands on experience in RDBMS, NoSQL, big data stores likeElastic, Cassandra. 12. Experience with open source software 13. Experience using the cognitive APIs machine learning studios on cloud. 14. Hands-on knowledge of image processing with deep learning ( CNN,RNN,LSTM,GAN) 15. Familiarity with GPU computing and tools like CUDA and cu DNN to accelerate deep learning computations and reduce training times. 16. Understanding of complete AI/ML project life cycle 17. Understanding of data structures, data modelling and software architecture 18.

Responsibilities : Node.Relational Databases: Work with relational databases (e.OpenAI API Integration: Utilize OpenAI APIs to integrate language generation and understanding capabilities into our applications. Language Model Exploration: Perform exploratory tasks related to Language Models, such as creating and fine-tuning models, and experimenting with various use cases. Performance Optimization: Identify and resolve performance bottlenecks and ensure the efficient use of resources. Security: Implement best practices for data security and access control, including user authentication and authorization. Documentation: Maintain detailed technical documentation, including API documentation and database schemas. Code Reviews: Participate in code reviews and mentor junior developers to ensure code quality and best practices are followed. Qualifications : - Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience). - 4+ years of proven experience as a Node.js developer with a strong portfolio of relevant projects. - Solid experience with relational databases, including database design and SQL. - Familiarity with NoCode platforms or a willingness to learn and adapt to new technologies. - Experience working with cloud services such as AWS or GCP, setting up instances, deploying applications. - Experience in implementing API caching using Redis or similar. - Understanding of OpenAI APIs and a strong interest in Language Model technologies. - Proficiency in JavaScript and server-side scripting. - Strong problem-solving skills and attention to detail. - Excellent communication and teamwork skills. - Ability to work in a collaborative, fast-paced environment. Nice to Have : - Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes). NoCode Platforms: Collaborate with cross-functional teams to explore and evaluate. - NoCode platforms for rapid application development and automation. - Experience with GraphQL. - Experience with implementing queue management systems such as RabbitMQ, Kafka,.SQS. - Previous experience working with natural language processing (NLP) technologies. - Knowledge of DevOps and CI/CD practices. - 4-6year

We are seeking an experienced Senior Node.js Developer to join our team. In this role, you will work on a wide range of exciting projects, from building robust backend systems with Node.js to exploring NoCode platforms and integrating AI tools & solutions. Senior NodeJS Developer. Responsibilities: - Node.js Development: Design, develop, and maintain backend systems and RESTful APIs using Node.js. Ensure scalability, performance, and reliability of server-side applications. - Relational Databases: Work with relational databases (e.g, PostgreSQL, MySQL) to design, create, and optimize database structures, and implement data models. - OpenAI API Integration: Utilize OpenAI APIs to integrate language generation and understanding capabilities into our applications. - Language Model Exploration: Perform exploratory tasks related to Language Models, such as creating and fine-tuning models, and experimenting with various use cases. - Performance Optimization: Identify and resolve performance bottlenecks and ensure the efficient use of resources. - Security: Implement best practices for data security and access control, including user authentication and authorization. - Documentation: Maintain detailed technical documentation, including API documentation and database schemas. - Code Reviews: Participate in code reviews and mentor junior developers to ensure code quality and best practices are followed. Requirements: - Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience). - Proven experience as a Node.js developer with a strong portfolio of relevant projects. - Solid experience with relational databases, including database design and SQL. - Familiarity with NoCode platforms or a willingness to learn and adapt to new technologies. - Experience working with cloud services such as AWS or GCP, setting up instances, deploying applications. - Experience in implementing API caching using Redis or similar. - Understanding of OpenAI APIs and a strong interest in Language Model technologies. - Proficiency in JavaScript and server-side scripting. - Strong problem-solving skills and attention to detail. - Excellent communication and teamwork skills. - Ability to work in a collaborative, fast-paced environment. Nice to Have: - Knowledge of containerization and orchestration technologies (e.g, Docker, Kubernetes). - Experience with GraphQL. - Experience with implementing queue management systems such as RabbitMQ, Kafka, SQS. - Previous experience working with natural language processing (NLP) technologies. - Knowledge of DevOps and CI/CD practices.

This position requires someone with good problem solving, business understanding and client presence. Overall professional experience of the candidate should be atleast 5 years with a maximum experience upto 15 years. The candidate must understand the usage of data Engineering tools for solving business problems and help clients in their data journey. Must have knowledge of emerging technologies used in companies for data management including data governance, data quality, security, data integration, processing, and provisioning. The candidate must possess required soft skills to work with teams and lead medium to large teams. Candidate should be comfortable with taking leadership roles, in client projects, pre-sales/consulting, solutioning, business development conversations, execution on data engineering projects. Role Description: Developing Modern Data Warehouse solutions using Databricks and Azure Stack Ability to provide solutions that are forward-thinking in data engineering and analytics space Collaborate with DW/BI leads to understand new ETL pipeline development requirements. Triage issues to find gaps in existing pipelines and fix the issues Work with business to understand the need in reporting layer and develop data model to fulfill reporting needs Drive technical discussion with client architect and team members Orchestrate the data pipelines in scheduler via Airflow Skills and Qualifications: Bachelor's and/or master's degree in computer science or equivalent experience. Good understanding of Databricks Data & AI platform and Databricks Delta Lake Architecture Should have hands-on experience in SQL, Python and Spark (PySpark) Experience in building ETL / data warehouse transformation processes Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning and troubleshoot Databricks Certified Data Engineer Associate/Professional Certification (Desirable). Comfortable working in a dynamic, fast-paced, innovative environment with several ongoing concurrent projects Should have experience working in Agile methodology Strong verbal and written communication skills. Strong analytical and problem-solving skills with a high attention to detail. Mandatory Skills Azure Databricks, Pyspark, Azure Data Factory, Azure Data Lake. Job Location - Bangalore, Chennai, Gurgaon, Pune, Kolkata Required Skills Azure Databricks, Pyspark, Azure Data Factory

Youll make a difference by: Having Capability and willingness to software program the customer requirements, using an object-oriented approach and to thoroughly test them before delivery. Having Good hands-on experience in Java, Sprint Boot, React Js, Maven, HTML5, CSS, RESTful webservices & Postgres / any RDBMS. Having experience in GitLab Continuous Integration & Docker. As an agile full-stack Java / React.Js software developer, you will take on a demanding role in the development of a set of Cloud SaaS portfolio offerings in an international environment. Having experience in tools, like Eclipse, Intellij, RTC Jazz, SVN, GIT, Jenkins, SonarQube, Teamscale. Having experience Working experience in Agile software development (daily scrum, pair sessions, sprint planning, retro & review, clean code and self- organized), configuration, testing and release management. Having experience in test driven development, test first development, code refactoring and Profiling. Key skills to have: Java 21 Spring, Maven, Java script, NPM/Yarn, React 18, Material UI, APIs (Rest) Youll win us over by: Having An engineering degree B.E/B.Tech/MCA/M.Tech/M.Sc with good academic record. 5-8 years of demonstrable experience in software development. Having ability to Manage & optimize cloud infrastructure, ensuring seamless deployment & orchestration of containerized applications. Automating the continuous deployment processes & improve operational efficiency, inc. stability & scalability of applications. Ability to Define, implement & maintain the CI/ CD pipelines for various projects, using Infrastructure as Code.

Required Experience 7 - 10 Years Skills RDBMS like MySQL, Or.. img {max-height240px;} Responsibilities: Design, develop, and maintain SQL Server databases and ETL processes.Write complex SQL queries, stored procedures, functions, and triggers to support application development and data analysis.Perform data modeling and database schema design to ensure optimal data storage and retrieval.Optimize database performance through indexing, partitioning, and other performance tuning techniques.Collaborate with application developers and stakeholders to gather requirements and deliver database solutions that meet business needs.Monitor database performance, troubleshoot issues, and implement best practices for data governance and security.Develop and maintain detailed documentation for database designs, processes, and procedures.Participate in code reviews and provide mentorship to junior team members.Stay current with emerging technologies and industry best practices related to SQL Server and database management. Qualifications: 7+ years of experience as an SQL Server Developer or in a similar role.Strong proficiency in T-SQL, including writing complex queries and optimizing performance.Experience with SQL Server Integration Services (SSIS) and SQL Server Reporting Services (SSRS).Knowledge of database design principles, normalization, and data warehousing concepts.Familiarity with database administration tasks, including backups, restores, and security measures.Experience working with large datasets and implementing data quality strategies.Ability to troubleshoot and resolve database performance issues effectively.Strong analytical and problem-solving skills, with attention to detail.Excellent communication skills and ability to work collaboratively in a team environment. Preferred Skills: Experience with cloud-based database services (e.g., Azure SQL Managed Instance).Knowledge of other database technologies (e.g., NoSQL databases) is a plus.Familiarity with Agile development methodologies.*Sign in to applyShare this job

Position : Dot Net Lead Location: Bangalore / Mumbai / Chennai Department: Technology Vacancy Type: Permanent Job Shift: 12PM - 9PM Work Mode - Hybrid React is Compulsory. Job Description: At least 12-15 years of experience in developing web applications/products using Microsoft Technology, Specializing in Dotnet Programming . Must have experience in guiding and mentoring the team members Knowledge of 3rd party framework/tools integrations Should have knowledge of JS-based UI frameworks like React or Angular Must be proficient in Microsoft SQL Server and RDBMS concepts. Knowledge of reporting and BI tools will be a big plus. Knowledge of No-SQL such as Mongo DB is a big plus. Experience with design patterns and principles. Experience in mentoring and coaching team members. Setting up their goals and evaluating the performance of the team members. Knowledge of agile scrum methodology and prior experience working in product development. • Excellent analytical skills and problem-solving skills. Must have good interpersonal and communication skills. Help hire, inspire and motivate team members. Bachelors degree in engineering or equivalent Technical Skills - Strong experience designing and developing web applications using .NET Core or .NET 5+, ASP.NET Core, C#, Web API. Strong programming skills with these technologies.

The Mastercard Authentication Program owns how consumer authentication works for both in-store and e-commerce transactional use cases. The primary purpose of this role is to develop and deliver best-of-breed authentication products for e-commerce transactional use cases that will drive uptake and penetration for the products and revenue for Mastercard. The authentication products that fall within this role s responsibilities are ID Check, Token Authentication Service and Token Authentication Framework. If you want a challenging project that is changing the way people do payments, this is the role for you! About You : 9-12 years of overall career experience into Software Development Excellent expertise on Java Backend required Experience on Angular or React a must Hands-on experience in designing solutions and full stack development in modern technologies for large enterprise technology platforms and systems Hands-on experience in coding Microservices in Java, building UI/UX, frameworks such as React, Angular, spring boot, RDBMS, Oracle and event driven architecture. Experience in deploying applications using CI/CD pipelines, docker containers & Kubernetes to Cloud platforms is preferred Knowledge with Pivotal Cloud Foundry or any other cloud platform AWS or Azure or GCP is preferred. Has experience designing and implementing solutions focusing on the non-functional concerns - Performance, Scalability, Availability, Extensibility, Supportability, Usability Operate with urgency, fairness and decency to address challenges and solve for new opportunities. Capable of working under pressure - navigating complex initiatives, competing priorities and customer requirements. Strong communicator to maintain internal and external alignment. Familiar with cutting edge industry trends and thorough understanding of development methodologies and standards, Ability to adapt to a fast-changing environment. Has skills to promote and coach teams on take on full stack development and facilitate end-to-end service ownership Has skills to drive trade-off discussions to set right development capacity based on value drivers eg, regulatory, security, new business, market parity, technical debt Has experience in design and execution of automation across multiple business areas and provides guidance on best methods and tools. Has skills to succinctly articulate architecture patterns of complex systems, with business and technical implications, to executive and customer stakeholders Has skills to define and drive advanced chaos and other operational testing practices to test points of failures, monitors, and system behaviors under adverse conditions eg, resource spikes, network congestion, component or infrastructure failure Experienced in agile and modern SDLC practices: Scrum/Kanban/Continuous Delivery/DevOps/Quality engineering, and the delivery situations they are used for Technologies: - 1. Java, J2EE, micro services, RESTful APIs, Angular, Web Services, JavaScript, HTML/CSS 2. Framework - Spring (Spring Boot, Spring Data, Spring Batch, Spring REST, Spring Cloud, AOP), Hibernate 3. UI/UX frameworks and best practices (React, Angular) 4. API tooling and design best practices 5. Cloud and DevOps Architecture, especially via Pivotal Cloud Foundry 6. Databases - Oracle, SQL server, PostgreSQL, Redis 7. Tools - Eclipse or IntelliJ, Sonar, GIT, Maven, SQL Developer, Jenkins, CI/CD, Gatling As a Lead Software Engineer, you will be responsible for Design and develop secure, reliable, and scalable solutions for globally distributed customer facing products Support development teams and work with stakeholders, promoting agile development Create a culture of technical excellence and innovation Research, create and evaluate technical solution alternatives for the business needs using current and upcoming technologies and frameworks They are hands on all the time and collaborate by writing interfaces, tests; unit or acceptance and architecture fitness functions, outside of meeting rooms. Work with business/product owners to architect and deliver on new services to introduce new products and bundles Participate and contribute to team s agile process and decisions. Understand and contribute to Prioritization. Drive prioritization decisions and trade-offs in working with product partners Drive the architectural design, including dependent services, service interactions, and policies Take ownership to improve the customer experience of an entire set of services/applications sold as products or bundled services Contribute and lead initiatives by engaging and mentoring Engineers at all levels to improve the craftmanship of Software Engineering Consult across teams and across organization lines to identify synergies and reuse opportunities Conduct technical interviews for hiring engineering staff and raising the performance bar

Our Purpose Title and Summary Lead Software Engineer - Full Stack (Java Backend & Angular or React) Our Purpose We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team - one that makes better decisions, drives innovation and delivers better business results. Overview: The Mastercard Authentication Program owns how consumer authentication works for both in-store and e-commerce transactional use cases. The primary purpose of this role is to develop and deliver best-of-breed authentication products for e-commerce transactional use cases that will drive uptake and penetration for the products and revenue for Mastercard. The authentication products that fall within this role s responsibilities are ID Check, Token Authentication Service and Token Authentication Framework. If you want a challenging project that is changing the way people do payments, this is the role for you! About You : 9-12 years of overall career experience into Software Development Excellent expertise on Java Backend required Experience on Angular or React a must Hands-on experience in designing solutions and full stack development in modern technologies for large enterprise technology platforms and systems Hands-on experience in coding Microservices in Java, building UI/UX, frameworks such as React, Angular, spring boot, RDBMS, Oracle and event driven architecture. Experience in deploying applications using CI/CD pipelines, docker containers & Kubernetes to Cloud platforms is preferred Knowledge with Pivotal Cloud Foundry or any other cloud platform AWS or Azure or GCP is preferred. Has experience designing and implementing solutions focusing on the non-functional concerns - Performance, Scalability, Availability, Extensibility, Supportability, Usability Operate with urgency, fairness and decency to address challenges and solve for new opportunities. Capable of working under pressure - navigating complex initiatives, competing priorities and customer requirements. Strong communicator to maintain internal and external alignment. Familiar with cutting edge industry trends and thorough understanding of development methodologies and standards, Ability to adapt to a fast-changing environment. Has skills to promote and coach teams on take on full stack development and facilitate end-to-end service ownership Has skills to drive trade-off discussions to set right development capacity based on value drivers e.g., regulatory, security, new business, market parity, technical debt Has experience in design and execution of automation across multiple business areas and provides guidance on best methods and tools. Has skills to succinctly articulate architecture patterns of complex systems, with business and technical implications, to executive and customer stakeholders Has skills to define and drive advanced chaos and other operational testing practices to test points of failures, monitors, and system behaviors under adverse conditions e.g., resource spikes, network congestion, component or infrastructure failure Experienced in agile and modern SDLC practices: Scrum/Kanban/Continuous Delivery/DevOps/Quality engineering, and the delivery situations they are used for Technologies: - 1. Java, J2EE, micro services, RESTful APIs, Angular, Web Services, JavaScript, HTML/CSS 2. Framework - Spring (Spring Boot, Spring Data, Spring Batch, Spring REST, Spring Cloud, AOP), Hibernate 3. UI/UX frameworks and best practices (React, Angular) 4. API tooling and design best practices 5. Cloud and DevOps Architecture, especially via Pivotal Cloud Foundry 6. Databases - Oracle, SQL server, PostgreSQL, Redis 7. Tools - Eclipse or IntelliJ, Sonar, GIT, Maven, SQL Developer, Jenkins, CI/CD, Gatling As a Lead Software Engineer, you will be responsible for Design and develop secure, reliable, and scalable solutions for globally distributed customer facing products Support development teams and work with stakeholders, promoting agile development Create a culture of technical excellence and innovation Research, create and evaluate technical solution alternatives for the business needs using current and upcoming technologies and frameworks They are hands on all the time and collaborate by writing interfaces, tests; unit or acceptance and architecture fitness functions, outside of meeting rooms. Work with business/product owners to architect and deliver on new services to introduce new products and bundles Participate and contribute to team s agile process and decisions. Understand and contribute to Prioritization. Drive prioritization decisions and trade-offs in working with product partners Drive the architectural design, including dependent services, service interactions, and policies Take ownership to improve the customer experience of an entire set of services/applications sold as products or bundled services Contribute and lead initiatives by engaging and mentoring Engineers at all levels to improve the craftmanship of Software Engineering Consult across teams and across organization lines to identify synergies and reuse opportunities Conduct technical interviews for hiring engineering staff and raising the performance bar

We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible. As a Lead Software Engineer at JPMorgan Chase within the Commercial and Investment Banking - Payments Technology team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm s business objectives. Job responsibilities Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Develops secure high-quality production code, and reviews and debugs code written by others Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering* concepts and 5+ years applied experience Hands on proven experience in the Java stack, with a focus on enterprise-grade software development. Expertise in Java, Spring, Spring Boot, Spring Data, Kafka, MQ(IBM), Caching(Gemfire, Redis or equivalent), and RDBMS (Oracle, MySQL or equivalent). Adept in extreme programming strategies such as Test-Driven Development, Behavior-Driven Development, and pair programming. Expertise in developing highly available, fault-tolerant, self-healing, and highly secure systems supporting large transactional volumes. Proficient in automation and continuous delivery methodologies using tools like Jenkins or equivalent. Expert in using version control tools like Git or BitBucket. Expert in Agile delivery methodologies and familiar with tools like JIRA or equivalent. Practical cloud-native experience and advanced-level understanding of AWS, Kubernetes, Terraform. Strong understanding of enterprise design patterns and best practices. Excellent spoken, written & presentational skills. Proven track record in managing and engaging in complex projects and delivering solutions rapidly. Demonstrates strong stakeholder management skills, with the ability to negotiate and plan effectively. Preferred qualifications, capabilities, and skills Advocating AI tool adoption to enhance software development processes and outcomes is a plus. Understanding of event driven systems. Demonstrates high-level competency in maintaining technical and architectural documents using tools like Confluence or equivalent.

As a Software Engineer III at JPMorgan Chase within the Asset & Wealth Management, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm s business objectives. Job responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 3+ years applied experience Experience in full-stack software development, specifically with Java 11+ and Angular 13+/ReactJS. Strong background in working with APIs ensuring efficient communication and integration between different systems. Experience working extensively with the most common RDBMS (MySQL, Oracle, or SQL Server). Experience with unit testing tools like JUnit and integrations/continuous deployment pipelines. Solid knowledge of SQL queries, optimization techniques, and database configuration. Proficient knowledge of Multithreading and Concurrency in Java. Knowledge of ORM frameworks such as Hibernate or JPA. Proven record of providing end-user support with excellent problem-solving abilities. Strong infrastructure knowledge required including Unix, Windows, networking and scripting. Proficiency in Software Development Life Cycle (SDLC) and developer tools utilization. Enthusiasm for learning new technologies, with a focus on public cloud platforms like AWS, GCP, or Azure. Experience with unit testing tools like JUnit and integrations/continuous deployment pipelines. Preferred qualifications, capabilities, and skills Knowledge of NoSQL databases (MongoDB, Cassandra, etc) would be a plus.

The Acceptance Solutions Product Development team is responsible for a portfolio of products that drive diversification of Visa revenue, differentiate our network, and deliver value-added solutions across other rails. This is part of a strategy to increase total merchant value by developing solutions that address complex and emerging needs of both merchants and acquirers. Our mission is to drive the future of payment acceptance, helping our clients navigate digital commerce complexities and address an increasing need for flexibility and agility. The goal of the Visa Acceptance Platform is to be the world s most open payment platform by delivering market leading, globally relevant, omnichannel acceptance componentry through open, composable, modular APIs delivered with Visa-grade resilience, security, maintenance, and scale. We are seeking a dynamic Engineering Leader to lead our team of engineers who work on high-performing distributed systems. Our stack includes the Java Vertx platform, Kafka for messaging, RDBMS, Cache for persistence, fast access, & the Kubernetes platform. The ideal candidate will have prior experience implementing distributed systems based on the Java platform and will be adept at designing resilient software solutions in collaboration with architects. This role requires a leader who is proficient with GenAI, can enhance team productivity, and is adaptable to tactical or strategic approaches. A key part of this role involves mentoring team members to foster career growth. This position offers an incredible opportunity to lead and develop a team of talented engineers. If you are passionate about people management and have a strong background in software engineering, we would love to hear from you Responsibilities: We expect our director to do much more than just managing multiple teams Help our client to achieve their real goals by understanding the requirements and how it would help them in their business. Proven ability to define needs, develop plans, coordinate resources and implement action plans. Demonstrated ability to manage multiple projects simultaneously & to resolve scheduling & other conflicts in order to meet all deadlines. Familiarity with budgeting, scheduling, contract and vendor management Experience with a variety of development methodologies and mature understanding of the strengths and weaknesses of each. Superior verbal, written & interpersonal communication skills with both technical & non-technical audiences. Experience in coaching engineers both on technical and career development Excellent team player, with strong collaboration skills and ability to influence cross-functional team for results Focus on building an innovative, efficient and collaborative team environment Basic Qualifications: 15+ years of relevant work experience and a Bachelors degree or with an advanced degree. Demonstrable experience as a People Manager in a software engineering environment. 5+ years in a leadership and management

As a Software Engineer, you will be part of our Acceptance Solutions org to help design, enhance, and build our transactional platform in an agile development environment. You will work on multiple projects ranging from building full stack development of real-time transactional services, REST services API, container-based micro-services to highly functional, secure, scalable, and resilient real-time payment systems. You will be involved in development, unit testing, code reviews, and regular check-ins to continuous integration. You will see the code written and moved to production within just a few days to a week, to then be used by a huge customer base including Facebook, Nike, FedEx, Apple, State Farm, to name a few. If this sounds exciting, we want to chat and tell you more about our work culture and environment and see if this will be a good fit for both of us. Essential Functions: you'll use technologies that include Java, REST, SQL, Docker, Kubernetes etc As a Full stack Software Engineer you will help design, enhance, and build next generation products in an agile development environment. you'll develop and deliver new features regularly, ensuring they are functional, secure, scalable, and resilient. you'll participate in development, unit testing, code reviews, and regular check-ins to continuous integration. you'll analyze business requirements and architect a solution that is robust and scalable along with providing technical documentation of solution you'll demonstrate proficiency with programming languages, code quality initiatives, scripting languages, and operating systems. You are familiar with Generative AI (GENAI) tools and frameworks. You have experience in commercial software development on Unix/Linux environment. You have amazing work ethic that will help us all work extremely we'll together Basic Qualifications Bachelors degree, OR 3+ years of relevant work experience Preferred Qualifications Associate: 2 or more years of work experience Experience in building backend applications using Java, Spring, REST

The intern will be part of the products in Digital Solutions (Ex. Ports, Rail domain) and will be working as part of the engineering team delivering functional components as needed by the product management. The intern is expected to have a basic SDLC knowledge Assist with the development, troubleshooting and deployment of the software projects. Reports progress regularly to key stakeholders Key Deliverables & Expectations Take ownership of module delivery under the guidance of assigned mentor. Collaborate well with the team members Develop code, write unit test and integration test cases. Work closely with required teams to ensure business functionality is delivered on time Participate in technical discussions and contribute to form of presentations or Proof of concepts. Flexible and Quick learner Be an excellent problem solver. Technical and Soft Skills Should have knowledge on programming (C/C++/Java/Python) Should have knowledge on frontend technologies such as Angular JS, Java Scripts, etc. Possess good understanding of RDBMS Knowledge of Cloud Related technologies like AWS will be add on Good knowledge on Data structure, Algorithms is required.

Notice : Immediate to 30 days 8+ years experience in DB2 for z/OS database administration and Experiance in Oracle/ MS SQL Server administration Proven experience with DB2 z/OS version upgrades and migrations Strong knowledge of REORG, RUNSTATS, LOAD utilities and JCL Experience with DB2 data sharing and Parallel Sysplex environments Proficiency in DB2 catalog queries and system monitoring Understanding of VSAM, SMS, and z/OS storage concepts Experience with DB2 security implementation and auditing Knowledge of disaster recovery procedures in a mainframe environment

a) Proven hands-on experience in building highly available, secure, robust, and scalable applications. b) Rich experience in Core Java, Spring, SpringBoot, Node, AWS, Databases (RDBMS, NoSQL), Redis, REST. c) Experience in cloud-native/micro-services technologies like Docker, Kubernetes, Spring Cloud. d) Hands on experience with queuing services like Kafka, SQS, Kinesis e) Sound knowledge of object-oriented design, design patterns, data structures, concurrency, and multi-threading.

Position: Data Quality Testing Engineer or Data Engineer Role Summary: Manage projects focused on Data Quality Management and Testing for banking clients, ensuring data accuracy, compliance, and testing velocity Key Responsibilities: Collaborate with cross-functional teams to drive successful project / test outcomes Measure and track each activity and highlight in case of misalignment or project off-track Technical Skills: RDBMS Proficiency: Expertise in relational database management systems (eg, SQL Server, Oracle) Ability to write complex SQL queries and handle data migrations use cases Azure DevOps or Project Management tools: Experience with Azure DevOps for CI/CD pipelines, project tracking, and version control (Git) Knowledge of working in sprints, user stories, and release cycles Data Quality Tools: Familiarity with data quality and governance tools such as Informatica, Talend, or similar platforms Understanding of data profiling, cleansing, and validation techniques Migration testing techniques and best practices ETL Processes: Knowledge of Extract, Transform, Load (ETL) processes, data modelling and ensuring clean data pipelines for analytical reporting Banking IT Systems (preferred): Exposure to core banking systems, payment gateways, or loan origination software Data Governance: Understanding of data governance frameworks, metadata management, and master data management (MDM) Automation Testing: Experience with automation tools (eg, Selenium, Apache JMeter) for performance testing, API testing, and script driven data validation Qualifications: Bachelor s degree in IT, Computer Science, or related field Experience: Minimum of 2-3 years in data quality management and testing roles, preferably within banking or financial institutions Ability to design testing plan and handling multiple stakeholders within the project timeline Interpersonal Skills: Excellent communication skills, ability to speak about problems

We are looking for a team member that will be able to think creatively and should have a real passion for building highly scalable analytical & reporting apps with end users in focus. You will engage directly with key business partners to understand the business strategies and solution needs. You will drive and lead functional & technical discussions with development teams and expected to design and own end to end applications. You will enjoy the benefits of working in a fast growing business where you are inspired to "Think Different" and where your efforts play a key role in the success of Apples business. Description Were looking for an individual who loves challenges and taking on problems with imaginative solutions. Also works well in collaborative teams, and can produce high-quality software under tight constraints. You should be a self-starter, self-motivated, able to work independently, collaborate with multiple multi-functional teams across the globe (US, Singapore, India, and Europe) and work on solutions that have a larger impact on Apple business. You will interact with many other group s / internal teams at Apple to lead and deliver best-in-class products in an exciting, constantly evolving environment. Mandatory 3+ years of solid experience in developing enterprise applications using Java/J2EE, including Web Services (e.g., RESTful, SOAP), Spring Framework and SpringBoot, and ORM (e.g. Hibernate) Strong web development skills, including JavaScript, NodeJS, React, and Bootstrap Experience with micro-services architectures and container-based deployment (e.g. Docker, Kubernetes) Experience with Relational Database Management Systems (RDBMS) and SQL like like Oracle/Snowflake/Singlestore, as well as multi-modal NoSQL databases like Cassandra etc. Exposure to cloud methodologies and experience with AWS, GCP or Azure Preferred Qualifications Proficiency in Test Driven Development (TDD) using modern testing tools such as Jest, Playwright, React testing library etc Experience with Extraction, Transformation, and Load (ETL) technologies, data replication, and event streaming.

We are seeking a talented Junior Web Developer to join our dynamic team. The candidate should possess a solid grasp of OOP principles, database management, and strong logical reasoning skills.

Role & responsibilities Responsible for implementing Vision suit of multiple products, oversee multiple projects with strong project management skills to plan, organize, and coordinate resources, timelines, and deliverables. Identify areas for improvement, implement process enhancements, and drive efficiency in service delivery Recommending methods of improving the processes and seeing that actions are implemented on time to deliver a wow experience Analyze customers requirement, set delivery priorities and make schedule adjustments to meet delivery goals SPOC / Escalation point and accountable for the service delivery of the business unit Adept at analyzing complex situations, identifying problems, and proposing effective solutions. Also think critically and make decisions quickly to address service-related challenges Excellent leadership qualities to guide and motivate their team members who include the ability to delegate tasks, provide clear directions, and inspire collaboration and teamwork. Ensure the team maintains high level of competence and operational excellence and building strong relationships with teams and stakeholders Good understanding of IT systems, infrastructure, and emerging technologies can be valuable in understanding the service delivery landscape and effectively communicate with technical teams. Preferred candidate profile Understanding of agile, scrum, and related project management frameworks, implementation process and techniques Understanding of design thinking, product management, SDLC, Implementation release plan process Good technical understanding and experience Extensive background in managing and delivering complex projects throughout the agile lifecycle Delivery Management objectives in Onshore & Offshore Model for multiple clients across the globe Project planning and progress monitoring, including budget control and milestone control Worked on tools like Jira, Confluence, Google Sheets to manage the project deliveries Proficiency in leading both physical and virtual teams In-depth knowledge of escalation procedures, incident management, and other disciplines related to service delivery Experience in providing accurate and regular reports to the management on the performance of the service delivery. Experience of process management or ownership is preferred. Experience managing multiple projects simultaneously, facilitating status meetings, and presenting to large groups

Job Description Lead Data Engineer Position: Lead Data Engineer Location: Hyderabad (Work from Office Mandatory) Experience: 10+ years overall | 8+ years relevant in Data Engineering Notice Period: Immediate to 30 days. About the Role We are looking for a strategic and hands-on Lead Data Engineer to architect and lead cutting-edge data platforms that empower business intelligence, analytics, and AI initiatives. This role demands a deep understanding of cloud-based big data ecosystems, excellent leadership skills, and a strong inclination toward driving data quality and governance at scale. You will define the data engineering roadmap, architect scalable data systems, and lead a team responsible for building and optimizing pipelines across structured and unstructured datasets in a secure and compliant environment. Key Responsibilities 1. Technical Strategy & Architecture Define the vision and technical roadmap for enterprise-grade data platforms (Lakehouse, Warehouse, Real-Time Pipelines). Lead evaluation of data platforms and tools, making informed build vs. buy decisions. Design solutions for long-term scalability, cost-efficiency, and performance. 2. Team Leadership Mentor and lead a high-performing data engineering team. Conduct performance reviews, technical coaching, and participate in hiring/onboarding. Instill engineering best practices and a culture of continuous improvement. 3. Platform & Pipeline Engineering Build and maintain data lakes, warehouses, and lakehouses using AWS, Azure, GCP, or Databricks. Architect and optimize data models and schemas tailored for analytics/reporting. Manage large-scale ETL/ELT pipelines for batch and streaming use cases. 4. Data Quality, Governance & Security Enforce data quality controls: automated validation, lineage, anomaly detection. Ensure compliance with data privacy and governance frameworks (GDPR, HIPAA, etc.). Manage metadata and documentation for transparency and discoverability. 5. Cross-Functional Collaboration Partner with Data Scientists, Product Managers, and Business Teams to understand requirements. Translate business needs into scalable data workflows and delivery mechanisms. Support self-service analytics and democratization of data access. 6. Monitoring, Optimization & Troubleshooting Implement monitoring frameworks to ensure data reliability and latency SLAs. Proactively resolve bottlenecks, failures, and optimize system performance. Recommend platform upgrades and automation strategies. 7. Technical Leadership & Community Building Lead code reviews, define development standards, and share reusable components. Promote innovation, experimentation, and cross-team knowledge sharing. Encourage open-source contributions and thought leadership. Required Skills & Experience 10+ years of experience in data engineering or related domains. Expert in PySpark, Python, and SQL . Deep expertise in Apache Spark and other distributed processing frameworks. Hands-on experience with cloud platforms (AWS, Azure, or GCP) and services like S3, EMR, Glue, Databricks, Data Factory . Proficient in data warehouse solutions (e.g., Snowflake, Redshift, BigQuery) and RDBMS like PostgreSQL or SQL Server. Knowledge of orchestration tools (Airflow, Dagster, or cloud-native schedulers). Familiarity with CI/CD tools , Git, and Infrastructure as Code (Terraform, CloudFormation). Strong data modeling and lifecycle management understanding.