Senior Software Engineer, Performance & Resiliency

Location: Southlake, TX Salary: $65.00 USD Hourly - $69.00 USD Hourly Description: Our client is currently seeking a Senior Software Engineer, Performance & Resiliency
Location: Southlake, TX (Primary) | Ann Arbor, MI (Secondary)
Work Arrangement: On-site (4 days/week)
Position Type: Contract-to-Hire, Candidates must be authorized to work in the United States without current or future sponsorship requirements.

About the Role
As a Senior Software Engineer on our Core Systems Performance Engineering team, you will drive performance, scalability, and resiliency initiatives across a high-throughput, low-latency financial trading platform. You will analyze complex distributed architectures, identify system and code-level bottlenecks, and implement solutions across client-side applications, backend services, gateways, and cloud infrastructure.

In this role, you will diagnose JVM behaviors, model high-volume production traffic, and translate deep diagnostic insights into concrete architectural enhancements, capacity plans, and code optimizations. Responsibilities
Design, develop, and maintain automated performance testing frameworks, load generators, and custom diagnostic tooling using Core Java, Python, and Unix shell scripts. Build mock services, harnesses, and test utilities to simulate real-world trading traffic and stress system capabilities.

Profile and inspect distributed source code to detect execution bottlenecks, concurrency issues, memory leaks, overhead. Partner with product managers, system architects, and engineering teams to define performance budgets, non-functional requirements, and service-level objectives (SLOs). Formulate comprehensive performance test plans, execute benchmark runs, and analyze client-to-backend system telemetry. Architect and implement resiliency patterns, including circuit breakers, traffic shapers, load balancing strategies, and automated failover mechanisms.

Collaborate with production reliability teams to instrument applications, define key health indicators, and enhance real-time observability using enterprise monitoring stacks.

Minimum Qualifications
Bachelor's degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience.
5+ years of software development experience with Core Java/J2EE across both client and server layers, including Spring, Spring Boot, and Spring Cloud ecosystems.
5+ years of experience engineering distributed, high-throughput, and real-time processing systems utilizing relational databases and messaging middlewares. Deep understanding of multi-threading, concurrency models, data structures, algorithms, and object-oriented design patterns.

Hands-on experience diagnosing JVM internals, including log analysis, heap profiling, memory leak detection, and thread dump inspection. Solid practical foundation in Linux environments and shell scripting. Direct experience implementing system resiliency patterns (e.g., rate limiters, circuit breakers, traffic shapers, graceful degradation). Hands-on experience with telemetry, metrics aggregation, and observability tools (e.g., Splunk, Grafana).

Preferred Qualifications
Domain experience in financial services, electronic trading, market data feeds, or capital markets systems. Experience deploying, scaling, and profiling microservices on public cloud platforms (AWS or Google Cloud). Solid background in continuous delivery, DevOps pipelines, containerized deployments, and automated build processes. Familiarity with integrating modern AI developer productivity tools within IDE workflows (e.g., IntelliJ IDEA, VS Code). Medical, dental, and vision insurance are available to qualified candidates who meet eligibility requirements.

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