Lead Software Engineer - Terraform, Python, Kubernetes
IT / Software Development & Related
Posted: 15 hours ago
0-1 years
Bengaluru / Bangalore, Karnataka
IT / Software Development & Related
work from office
Full Time
Closes 12 Jan 2027
Posted: 15 hours ago
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Job Description
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 & 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 firms business objectives.
Job responsibilities
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 firms 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
- Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations experience coaching engineers on safe, compliant adoption within delivery practices
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
Skills
PythonCode ReviewDebuggingKubernetesSoftware DevelopmentTestingVersion ControlSoftware EngineerCloudIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
About Company
JPMorgan Chase & Co., often referred to as Chase, is an American multinational investment bank and financial services holding company headquartered in New York City.
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