Senior Software Engineer - Python

JP Morgan Services India Pvt Ltd; Bengaluru; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

JP Morgan Services India Pvt Ltd is seeking a Software Engineer III with strong Python experience to drive AI/ML platform development. You will build and operate pipelines, tooling, and production services, ensuring security, reliability, and observability in a fast-paced financial tech envr ionment.

The role emphasizes hands-on engineering across containers (Docker, Kubernetes), CI/CD, and AI-assisted development tools, with opportunities to influence security and operational excellence within

Qualifications

• Proficiency in Python with 3+ years of hands-on experience.
• Formal training or certification on software engineering concepts or related field.
• Hands-on experience with containerization and cloud-native deployment is required.

Responsibilities

• Builds and maintains deployment pipelines, containers, and infrastructure-as-code for AI/ML services.
• Implements monitoring, logging, and alerting to keep production services reliable and observable.
• Supports model serving, environment management, and release automation.
• Applies platform security and access controls to firm-wide standards.
• Participates in on-call / production support as the team evolves.
• Contributes to code reviews and technical design discussions to increase ownership.
• Uses enterprise AI coding tools to improve code quality and delivery speed under peer review.

Skills

Python

Communication

AI tooling usage

Security awareness

Education

CKAD / similar certification

3+ years software engineering

Tools

Docker

Kubernetes

Terraform

GitHub Copilot

Job description

Software Engineer III - Python 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 JPMorgan Chase within the Asset and Wealth Management Technology and International Private Bank's Artificial Intelligence and Machine Learning Team, you will build and operate the platform, pipelines, and tooling that our agentic AI and machine learning products run on. Your role will involve working under the direction of the team’s Senior Platform Engineer, helping to deploy, monitor, and maintain reliable and secure production AI/ML services (including PACE).

Job Responsibilities

• Builds and maintains deployment pipelines, containers, and infrastructure-as-code for the team's AI/ML services
• Implements and operates monitoring, logging, and alerting so production services stay reliable and observable
• Supports model serving, environment management, and release automation
• Applies platform security and access controls to firm‑wide standards
• Participates in on‑call / production support and incident response as the team's ownership model matures
• Contributes to agile ceremonies, code reviews, and technical design discussions, growing towards greater technical ownership
• 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.
• Uses AI coding tools (e.g., Claude Code, GitHub Copilot) as part of day‑to‑day development
• Adds to the team culture of diversity, opportunity, inclusion, and respect

Required Qualifications, Capabilities, and Skills

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Proficiency in Python and familiarity with modern software engineering practices (testing, version control, code review)
• Working knowledge of containerization (Docker) and Kubernetes concepts
• Experience with CI/CD pipelines and cloud‑native deployment
• Understanding of monitoring and observability concepts
• 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.
• Ability to communicate clearly with teammates and stakeholders
• Certified in Industry‑recognised container / Kubernetes certification (e.g., Certified Kubernetes Application Developer (CKAD), or similar)

Preferred Qualifications, Capabilities, and Skills

• Exposure to MLOps or serving ML models in production
• Familiarity with infrastructure‑as‑code tooling (e.g., Terraform)
• Exposure to financial services technology
• Experience Level Senior Level