Lead Software Engineer (Python)

JP Morgan Services India Pvt Ltd; Bengaluru; On-site; INR 2,800,000 - 4,200,000; Full time

Job summary

JP Morgan Services India Pvt Ltd in Bengaluru seeks a Senior Software Engineer to lead a feature team, contribute hands-on in design, development, and production support, and own end-to-end delivery of microservices and batch components. You will design, develop, test, and deploy resilient RESTful and event-driven integrations, while championing AI-assisted engineering and secure coding practices.

You will mentor engineers, drive best practices across CI/CD, observability, performance,

Qualifications

• 5+ years of hands-on software development experience.
• Strong Python and Java (Java 17+) expertise.
• Proven proficiency with Spring Boot and microservices patterns.
• Solid SQL skills and data querying capabilities.
• Experience leading teams and mentoring engineers.
• Familiarity with AI-assisted development tools and secure coding.
• Experience with Agile methodologies and backlog refinement.
• Ability to translate complex requirements into practical designs.
• Knowledge of secure coding, testing, and code reviews.

Responsibilities

• Lead a feature team and contribute to design, development, and production support.
• Design, develop, and deploy microservices and batch components.
• Build resilient REST/event-driven integrations with data stores.
• Promote enterprise AI-assisted engineering practices and secure validation standards.
• Drive AI-assisted tooling usage for code review and test acceleration.
• Ensure code quality through automated tests, reviews, and standards.
• Provide accurate estimates and assist backlog refinement.
• Facilitate sprint ceremonies and communicate progress and risks.
• Drive CI/CD, observability, performance, and reliability improvements.
• Mentor engineers and raise team capability.

Skills

Python

Java 17+

Spring Boot

REST APIs

Microservices design

OOAD

SQL

AI-assisted development tools

Agile methodologies

Mentoring/leadership

Tools

Kafka

CI/CD pipelines

ACBS

Observability tools

Git

Job description

Job Responsibilities

• Lead a feature team and contribute hands-on to design, development, and production support.
• Design, develop, test, debug, and deploy microservices and batch/EOD components to deliver sprint-ready increments.
• Build resilient integrations (REST/event-driven) with upstream/downstream systems and data stores.
• 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.
• Ensure code quality through standards, automated testing, architectural checks, and code reviews/pairing.
• Provide accurate estimates, support story mapping/splitting, and contribute to backlog refinement and prioritization.
• Facilitate sprint ceremonies (planning, reviews/demos, retros) and communicate progress, risks, and trade-offs.
• Drive best practices across engineering (CI/CD, observability, performance, reliability, secure coding).
• Mentor and coach engineers, guiding solution design and raising team capability.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience .
• Experience in building and supporting production software with Python and Java (Java 17+).
• Strong experience with Spring Boot, REST APIs, and microservices design patterns.
• Solid CS fundamentals: OOAD, collections, and concurrency/multithreading with strong SQL skills (complex query development, troubleshooting, and performance considerations).
• 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.
• Proven end-to-end ownership: design → build → test → release → operate/support.
• Demonstrated technical leadership: code reviews, mentoring, setting standards, and leading delivery while remaining a strong IC contributor.
• Clear communication and stakeholder management; ability to translate complex concepts into pragmatic decisions.
• Strong quality mindset: testing strategy, CI/CD, reliability, and observability in day-to-day engineering.
• Experience working in Agile teams and translating business requirements into implementable designs.

Preferred qualifications, capabilities, and skills

• Financial services experience, ideally in commercial lending / loan servicing domains.
• Familiarity with commercial credit/loan products and lifecycle processes (servicing, EOD/batch, integrations).
• Experience with ACBS (or similar loan servicing platforms).
• Experience with Kafka or equivalent event streaming/data distribution technologies.
• Strong DevOps practices: CI/CD automation, deployment pipelines, monitoring/alerting, and incident support.

Experience Level

Senior Level