Energy Systems
Energy Systems

60 Energy Systems Performance Engineer Jobs Hiring Near You

Deep familiarity and hands-on experience with Linux operating systems, including system-level performance tuning and troubleshooting. โ€ข Programming Skills: Strong proficiency in programming and ...

SOC Systems Performance Engineer

San Diego, CA ยท On-site

$99K - $149K/yr

Engineer market-leading SoC products with best-in-class performance * Lead and conduct performance and systems studies * Conduct or contribute to analysis to define our SOC architecture plans ...

AI Systems Performance Engineer

San Jose, CA ยท On-site

$141K - $226K/yr

Deep familiarity and hands-on experience with Linux operating systems, including system-level performance tuning and troubleshooting. * Programming Skills: Strong proficiency in programming and ...

Senior Systems Performance Engineer

Santa Clara, CA ยท On-site

$122K - $167K/yr

... engineers to develop and implement complex automated test plans for our industry leading GPU accelerated computing products. What you will be doing: * System architecture, design, performance ...

Alpharetta GA - Onsite Perform load tests to validate system performance and stability. Analyze tests results and work with Developers and Engineers to perform bug fixes. Provide technical assistance ...

System Performance Engineer Location: Waltham, MA Duration: 6+ Months BGV will be done for the selected candidates. Must have 7+ years real-world experience in automated load/performance engineering ...

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Energy Systems Jobs Information

Systems Performance Engineer

1 point system

O Fallon, MO โ€ข On-site

Contractor

Posted 9 days ago


Job description

Areas of Expertise

  • Application Layer: Spring Boot internals, JVM tuning, thread/heap management, concurrency debugging, GC optimization
  • Container Runtime: PCF, Docker, container resource limits, CPU throttling, memory pressure
  • Orchestrators: PCF, Kubernetes, ECS (autoscaling, pod health, scheduling issues)
  • Networking: Service-to-service hops, TLS overhead, DNS, routing, load balancer configs (F5, Nginx, ALB/NLB), service mesh performance
  • Storage: Latency, IOPS constraints, distributed file system behavior
  • Caching & Middleware: Redis, Hazelcast, NATS, Kafka, RabbitMQ configuration and throughput tuning
  • Databases: Connection pool tuning, slow queries, indexing, replication lag
  • Cloud Layer: AWS compute/storage/network performance, regional latency, cross-cloud traffic patterns