Haystack
← Back to Jobs
Engineering

Systems Performance Engineer/Performance Optimization Engineer/Performance Analyst

NasTech Global, Inc.MO🇺🇸United StatesPosted 16 Jul 2026

Why This Role Stands Out

This hybrid role at NasTech Global offers a fantastic opportunity to deeply analyze and optimize complex distributed systems, honing your skills in performance tuning and cloud environments. If you thrive on solving intricate technical challenges and ensuring the smooth operation of high-scale platforms, you'll find this position incredibly rewarding. Apply now to contribute to critical systems and advance your career in performance engineering!

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Position: Systems Performance Engineer/Performance Optimization Engineer/Performance Analyst

Location: O'Fallon, Missouri - Hybrid

Duration: 6+Months with possible extensions

Interviews: (4 Rounds): All the interviews within one week.

1. General Interview

2. Technical Interview

3. Project Interview

4. Client's Interview

Description: Responsible for identifying and resolving end-to-end performance bottlenecks across distributed systems, Spring Boot services, middleware components, and hybrid cloud environments (private cloud + AWS). This role goes far beyond traditional testing by deeply analyzing container orchestration, networking paths, and system interactions under load. This position maps full system workflows, sets realistic latency budgets, and ensures each component meets its SLOs. Ideal candidates have extensive experience with high-scale, multi-region, and high-transaction platforms (e.g., financial systems, payment processing, or large enterprise SaaS) running in a Cloud environment.

Key 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, 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, 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 .

Similar jobs

Apply now