Senior Lead Software Engineer - Java & Databricks
JPMorgan Chase & Co. (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 25–45 LPA
Posted on 18 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and optimize scalable, fault-tolerant microservices, APIs, and data pipelines using Databricks, Apache Spark, and Delta Lake.
- Drive adoption of AI-assisted engineering best practices and automation within the SDLC to improve code quality, delivery, and operational outcomes.
- Partner with product and compliance teams to enhance alert accuracy and proactively identify communication data issues to improve detection quality.
Minimum Requirements
- 5+ years of applied software engineering experience with formal training or certification.
- Expertise in Java/Kotlin, Python, Databricks (Spark, Delta Lake, Workflows), and cloud-native microservices architecture.
- Proficient with AWS services (EC2, ECS, EKS, EMR, S3, Glacier), Kafka, PostgreSQL, and CI/CD tooling (ArgoCD, Helm, Terraform, Jenkins, GitHub Actions).
- Experience with Test-Driven Development and delivering services with SLI/SLO/SLAs.
Ideal Candidate Profile
- Senior-level technical leadership experience involving mentoring engineers and driving adoption of best practices in complex, compliance-focused financial environments.
- Strong expertise in cloud-native, large-scale batch and streaming data pipelines incorporating ML/LLM models in production.
- Experience operating in agile teams delivering secure, scalable data engineering solutions with emphasis on observability and operational stability.