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 to ingest, process, and serve billions of customer data points.
Role type
Senior IC Full-Stack Engineer (Big Data & Cloud Infrastructure)
Builds
High-throughput cloud architectures, data pipelines, and AI-integrated backend systems for enterprise platforms.
Domain
Financial Services / Big Data Engineering / Cloud Infrastructure
Required skills
Java, Scala, Python, Go, Node.js, TypeScript, Apache Spark, AWS (EMR, Glue, Lambda, Step Functions, S3, RDS, DynamoDB, Kinesis), SQL, NoSQL, CI/CD, Docker, Kubernetes, API design
Preferred skills
AI coding assistants (Claude Code, GitHub Copilot, Cursor, OpenAI Canvas), observability platforms, cross-functional team leadership, infrastructure as code
Technologies
AWS, Apache Spark, Docker, Kubernetes, Git, GitHub, Bitbucket
Responsibilities
Design scalable data pipelines and microservices; tune Apache Spark jobs for performance and cost; integrate AI tools into development workflows; lead and mentor engineering teams; implement monitoring and CI/CD pipelines.
Seniority
Senior, hands-on IC with leadership responsibilities
