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 & Wealth Management, 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

• Designs, build, and operate backend services and platforms; mentor engineers; partner with product/platform teams.
• Designs and deliver Python microservices/APIs (FastAPI/Flask); define clear APIs and integrations.
• Drives reliability with SLIs/SLOs, resiliency patterns (timeouts/retries/circuit breakers), and on-call playbooks.
• Enforces engineering excellence: typing, lint/format (ruff/flake8, black), testing (pytest), secure coding, CI/CD.
• Implements observability (structured logging, metrics, tracing); lead post-incident reviews.
• Uses Pandas/NumPy for in-service data handling; integrate lightweight NLP features when appropriate.
• Builds on/extend proprietary Python frameworks; contribute across stack with Java/React.js when required.

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Software engineering; proficient Python 3.x knowledge; ownership of production systems.
• APIs/services experience (FastAPI/Flask, async I/O, strong error handling).
• Strong OO/functional design, algorithms, and performance optimization.
• Secure engineering, dependency/secrets management; familiarity with SAST/DAST.
• SQL and relational DBs; ORM/DB access (SQLAlchemy, psycopg2).
• Git-based CI/CD, Docker, Kubernetes, and experience with at least one major cloud.
• Readiness for JPMorganChase proprietary Python frameworks; ability to learn Java and React.js.

• Caching/messaging and reliability patterns (Redis, Kafka/SQS), idempotency. IaC, feature flags, blue/green or canary deployments.
• Performance tooling (cProfile, py-spy), asyncio/concurrency optimizations.
• Working knowledge of Pandas/NumPy; basic NLP integration a plus.
• Exposure to Java (Spring) and React.js.