Lead Software Engineer – Java/Python, AI for Reliability (Payments)
JPMorgan Chase · Bengaluru
| Company | JPMorgan Chase |
|---|---|
| Role | Lead Software Engineer – Java/Python, AI for Reliability (Payments) |
| Location | Bengaluru |
| Work mode | On-site |
| Experience | 3–6 years |
| Job type | Full-time |
About this job
JPMorgan Chase is hiring a Lead Software Engineer in Bengaluru for Payments Technology in the Commercial and Investment Bank. You will guide technical teams, write production code and act as an expert in your area.
The preferred profile brings machine learning to reliability work: statistical models such as XGBoost, GenAI ideas and AI agents that help SRE teams solve problems. You will also lead how the team uses approved AI coding tools. The role is in the office.
Eligibility
- 5+ years of applied software engineering experience
- Advanced skills in Java, Python or Go
- Hands-on system design, development, testing and operations
- Cloud-native experience, preferably AWS
- ML basics (regression, XGBoost), GenAI and agents are a plus
Skills required
What you will do
- Write and review secure production code
- Give technical direction to teams, contractors and vendors
- Shape product design and technical decisions
- Apply ML and GenAI ideas to reliability problems
- Lead safe, checked use of AI coding tools
How to apply
- Open the official JPMorgan Chase job page with the Apply button and submit your application there.
- Tailor your resume to production systems you led in Java or Python and any ML or automation you used to improve reliability.
Before the interview, prepare:
- Java or Python service design for high-volume payments
- SRE basics: SLOs, error budgets and alert tuning
- ML for operations: anomaly detection and simple predictive models
- Spark and Airflow: building and scheduling data jobs
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