Software Engineer III - Devops and Java

JPMorgan Chase · ✓ Verified company
📍 Mumbai, Maharashtra, India · On-site · Full-time

About the role

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorganChase within the Asset and Wealth Management Technology team, 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 - Collaborates confidently directly with Investment Teams, Traders, and Portfolio Managers, effectively bridging communication without relying on business analysts or Project Managers. - Thrives in a fast-paced environment, contributing to one of Asset Management’s most high-profile platforms. - Operates as part of an agile team, regularly deploying software updates to production and adjusting to the dynamic needs and scale of the business. - Influences peers and project decision-makers to consider the use and application of leading-edge technologies. - Provides regular technical guidance and direction to support the business and its technical teams, contractors, and vendors. - 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. - Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness. - Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation. - Contributes actively to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software  Development Life Cycle. - Develops secure and high-quality production code, and reviews and debugs code written by others.   Required qualifications, capabilities, and skills - Formal training or certification on software engineering concepts and 3+ years applied experience. - Excellent programming experience in Core Java and SQL. - Hands-on experience on SRE/ Support tooling like Splunk, Dynatrace, Servicenow. - Experience in implementation of TDD and BDD techniques, with a focus on leveraging mocking frameworks for effective testing. - Demonstrated understanding of IoC frameworks in Java, such as native Spring. - Understanding of next generation messaging and streaming technologies such as Kafka, IBM MQ, Solace or Ignite. - Good debugging skills with strong grasp of engineering principles, including CI/CD, application resiliency, and security. - Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security. - Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices. - Demonstrated knowledge of software applications and technical processes within a technical discipline (cloud, artificial intelligence, machine learning, etc.). - Overall knowledge of the Software Development Life Cycle.   Preferred qualifications, capabilities, and skills - Strong Hands-on exposure to AI development tools - Excellent Debugging skill with SRE tooling experience