Senior Lead Software Engineer - Java & Databricks
JPMorgan Chase & Co. (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 30–48 LPA
Posted on 18 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and optimize scalable microservices, APIs, and large-scale streaming/batch data pipelines using Databricks, Apache Spark, and Delta Lake.
- Model and implement supervision and reviewer workflows using state machines, focusing on compliance and detection pipelines.
- Drive adoption of AI-assisted engineering practices and collaborate with product and compliance teams to improve alert accuracy and detection quality.
Minimum Requirements
- 5+ years of applied software engineering experience with formal training or certification.
- Expertise in Databricks, Spark, Delta Lake, Java/Kotlin, Python, and cloud-native microservices development.
- Proficient with AWS services (EC2, ECS, EKS, EMR, S3, Glacier), Kafka, PostgreSQL, and CI/CD tools (ArgoCD, Helm, Terraform, Jenkins, GitHub Actions).
- Experience in financial compliance domain and production ML/LLM integration.
Ideal Candidate Profile
- Experienced in designing and delivering resilient, enterprise-grade cloud-native products in regulated financial environments.
- Strong technical leadership skills including mentoring senior engineers and driving engineering best practices with AI-assisted tools.
- Skilled in operationalizing complex data and ML workloads with a focus on observability, monitoring, and production stability.