Full-stack Engineer 4 (Apache Spark and Java)( Enterprise Platforms Technology)
Core
Design, build, and maintain robust, highly scalable data pipelines, distributed microservices, and full-stack applications using Java, Scala, Python, Go, Node.js, and TypeScript.
Role type
Senior IC full-stack engineer (data infrastructure & microservices)
Builds
Core data infrastructure, distributed microservices, and full-stack enterprise systems
Domain
Financial services / Big Data / Cloud Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Java, Scala, Python, Go, Node.js, TypeScript, AWS (EMR, Glue, Lambda, Step Functions, S3, RDS, DynamoDB, Kinesis), Apache Spark tuning, SQL (RDBMS & NoSQL), API design, CI/CD, Docker, Kubernetes, AI coding assistants
Preferred skills
Rust, C#, JavaScript, advanced observability, leading cross-functional initiatives, human-in-the-loop AI workflows
Technologies
AWS, Apache Spark, Docker, Kubernetes, GitHub Copilot, Claude Code, Cursor, OpenAI Canvas
Responsibilities
Design scalable data pipelines and microservices; tune Apache Spark jobs for performance and cost; integrate AI/ML models and LLM endpoints; lead and mentor engineering teams; implement monitoring, alerting, and CI/CD pipelines; refactor distributed systems to reduce technical debt.
Seniority
Senior, hands-on IC with leadership responsibilities