Lead Software Engineer - Terraform, Python, Kubernetes

JPMorgan Chase · ✓ Verified company
📍 Bengaluru, Karnataka, India · On-site · Full-time

About the role

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.  As a Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Bank, Securities Services Technology, 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 - Develops and maintain high-quality, secure applications using Python and AWS  - Creates architecture and design deliverables, lead design and architecture reviews, own end-to-end delivery. Integrates AIML solutions into complex, domain specific operations processing systems  - Leads code reviews, design discussions, and agile planning sessions. Collaborates with SRE and production monitoring teams to ensure system reliability and performance - Contributes to software engineering communities of practice and technology events  - Embraces continuous learning, creative problem solving, and a can-do attitude  - Leads evaluation and selection of open source and internal software to determine best fit  - Partners with existing systems teams on cross‑app design; align interfaces and ship end‑to‑end solutions  - Manages small team of engineers whilst remaining hands on, setting engineering standards - Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team. - 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.   Required qualifications, capabilities, and skills   - Formal training or certification on software engineering concepts and 5+ years applied experience. - Proven hands-on experience in Python application development  - Proven hands-on experience developing, debugging and maintaining production applications  - Solid understanding of software development best practices, including version control, testing, and CI/CD  - Strong problem-solving, communication, and collaboration skills, with the ability to convey design choices and communicate effectively with stakeholders  - Experience working on AIML systems and/or prior experience collaborating with data scientists - Track record of designing, building, and delivering maintainable, extensible applications into production environments   Preferred qualifications, capabilities, and skills   - Experience with Cloud services, Infrastructure as Code (IaC) and containerized application development - Familiarity with relational databases (e.g., Postgres) and AWS services such as S3, EKS, SageMaker, and Bedrock - Practical experience with Kubernetes, EKS, Docker, Kafka, MLOps and LLMs - Experience working on AIML systems and/or prior experience collaborating with data scientists