Performance Engineer

Performance Engineer

Full time

Hybrid, 3 days on site in St. Louis, MO

Responsibilities

Define service-level objectives (SLOs), performance budgets, and latency/throughput targets across services.

Architect and champion comprehensive distributed tracing strategies (Dynatrace, AWS X-Ray, etc.).

Analyze application, platform, and cloud behavior using deep-dive techniques such as heap dumps, thread dumps, flame graphs, GC logs, network traces, and storage I/O profiling.

Review service and system architectures for performance risks (e.g., synchronous hops, excessive dependencies, misconfigured connection pools, poor cache placement).

Conduct and lead root-cause analysis for performance incidents in production and pre-production environments.

Develop capacity models and performance baselines for services running across cloud environments.

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

Vertex Solutions Inc. is an Equal Opportunity Employer and does not discriminate on the basis of race, color, creed, national origin, ancestry, religion, age, citizenship, sex, marital or veteran status, disability or handicap, sexual orientation or any other basis prohibited by applicable law.