Senior Performance Engineer

Hire'in Solutions; Missouri; On-site; USD 110,000 - 160,000; Full time

Job summary

Hire'in Solutions is seeking a senior performance engineering professional to shape SLOs, budgets, and latency targets across services. You will architect distributed tracing strategies and perform deep-dive analyses of application and cloud behavior to optimize performance.

You will review architectures for risks, lead incident RCAs, and build capacity models for multi-cloud environments. The role emphasizes hands-on profiling, tuning, and collaboration with platform teams to ensure scalable,

Qualifications

• Experience defining SLOs, performance budgets, and latency/throughput targets.
• Architecting and championing distributed tracing strategies (Dynatrace, AWS X-Ray, etc.).
• Ability to analyse heap dumps, thread dumps, flame graphs, GC logs, network traces, and storage I/O profiling.
• Reviewing architectures for performance risks such as excessive dependencies or poor caching.
• Leading root-cause analyses for production and pre-production performance incidents.

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.).
• Analyse application, platform, and cloud behaviour using deep-dive techniques (heap dumps, thread dumps, flame graphs, GC logs, network traces, storage I/O).
• Review service architectures for performance risks (synchronous hops, too many dependencies, 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 across cloud environments.

Skills

Root-cause analysis

Performance tuning

Distributed tracing

Capacity planning

Tools

Spring Boot

JVM tuning

Dynatrace

AWS X-Ray

PCF

Docker

Nginx

ALB/NLB

Redis

Hazelcast

NATS

Kafka

RabbitMQ

Job description

• 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.).
• Analyse application, platform, and cloud behaviour 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
• 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 behaviour
• Caching & Middleware: Redis, Hazelcast, NATS, Kafka, RabbitMQ configuration and throughput tuning
• Cloud Layer: AWS compute/storage/network performance, regional latency, cross-cloud traffic patterns