JPMorgan Sr Manager Software Engineering 

India, Karnataka, Bengaluru 

512135643

Job responsibilities

• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives decisions that influence the product design, application functionality, and technical operations and processes
• Serves as a function-wide subject matter expert in one or more areas of focus
• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
• Influences peers and project decision-makers to consider the use and application of leading-edge technologies
• Adds to the 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
• Java (11/17), Maven, GIT, Python
• Experience working with CI/CD pipelines and modern deployment strategies
• Spring Boot and Spring ecosystem for data processing , RESTful APIs, GraphQL
• Experience in architecture and design of microservices
• Cloud Development (e.g. AWS, Cloud Foundry, etc.)
• Proficient in managing large database and modern data stack
• Advanced knowledge of application, data, and infrastructure architecture disciplines. Understanding and experience building cloud native and distributed applications
• Working proficiency in SDLC practices - CI/CD, SRE. Knowledge of industry-wide technology trends and best practices
• Ability to work in large, collaborative teams to achieve organizational goals
• Passionate about building an innovative culture. Proficiency in one or more modern programming language. Understanding of software skills such as business analysis, development, maintenance, and software improvement

• SQL, Spring Data. NoSQL (e.g. MongoDB, DynamoDB, Elasticsearch, etc.)
• Messaging (e.g. SQS, Kafka, RabbitMQ, etc). Data Lake/Mesh & Analytics Technology (e.g. Snowflake, Starburst, Databricks, Denodo etc.). Domain-driven design
• Other programming languages (e.g. JavaScript, TypeScript, etc). Open table format (e.g. Iceberg, Hudi, Delta)
• Metadata Management. Contract-Driven Development
• Data Lineage tools. AI/ML and Data science skills