System Development Engineer
Why This Role Stands Out
This remote System Development Engineer role at Emergere Technologies offers a unique opportunity to drive significant cost and performance improvements across a massive cloud fleet, developing reusable playbooks for impactful optimization. You'll thrive here if you are a mid-senior engineer passionate about deep technical problem-solving and enjoy optimizing systems without the pressure of new feature development. Apply to contribute to a critical initiative and hone your skills in a flexible, high-impact environment.
Quick Overview
Job Description
- EKS Cluster Management — the container/orchestration layer. Manage Kubernetes (EKS) clusters end-to-end and profile containerized workloads: right-size pod resource requests/limits, tune VPA and node pools, and hunt memory waste at the cgroup/runtime level.
- EMR Cluster Operations & Spark Tuning — the infrastructure/config layer for big-data. Right-size EMR clusters and instance families (e.g., memory-optimized R-type → compute-optimized C-type), and tune Spark/YARN settings at the cluster level.
- Memory Optimization (Spark) — the application/code layer for big-data. Deep-dive and refactor the actual PySpark / Spark / Hive / Pig job code — rewriting inefficient transformations, fixing partition skew, tuning caching and shuffles.
- JDK Migration & Heap Right-Sizing — the language-runtime layer. Migrate Java services across JDK versions (17→21, 21→25), resolve migration blockers, and right-size JVM heaps / exploit new algorithms (Zgenerational, etc.).
- Rustification & Service Migration — the rewrite layer. Rebuild memory-bound Java services in Rust to eliminate JVM overhead entirely (targeting ~50%+ memory reduction), proving functional equivalence via oracle/differential testing and doing a safe canary cutover.
Skills
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