Sr Software Engineer

Job Responsibilities

• Define and validate non-functional requirements - performance, scalability, throughput, latency, availability/HA, and data integrity - in partnership with Product, Architecture, and feature teams
• Design, build, and maintain test suites using JMeter (or evolving tooling)
• Load tests, stress tests, soak tests, endurance tests, and capacity benchmarks
• Execute tests against realistic payment workloads modeled on production transaction patterns (wire transfers, instant payments, A2A flows)
• Analyze results to identify bottlenecks, regressions, resource constraints, failover gaps, and data consistency risks across services, messaging layers, and data stores
• Validate availability and resilience — test failover behavior, recovery times, and degradation characteristics under fault conditions
• Verify data integrity under load — confirm that transactions, state changes, and downstream effects remain consistent at scale
• Produce clear, professional reports with findings, visualizations, and recommendations
• Support go-live readiness by confirming systems meet NFR criteria before customer onboarding milestones
• Explore future-state integration of performance validation into CI/CD pipelines as the platform and testing practices mature
• Research and resolve reported systems software problems efficiently and accurately while adhering to internal software management standards and procedures
• Maintain detailed knowledge of software, underlying network and system software, and dependencies
• Provide guidance and subject matter expertise to the development organization
• Perform other duties as assigned

Knowledge, Skills and Experience required for the job

• 5+ years of experience in software engineering, performance engineering, QA engineering, or a similar hands-on technical role
• Demonstrated experience designing and executing performance and load tests for distributed systems
• Proficiency with JMeter or comparable performance testing tools (Gatling, k6, Locust)
• Strong analytical skills — ability to interpret test data, isolate bottlenecks across services, and translate findings into clear engineering recommendations
• Proficiency in Java and familiarity with profiling and tuning JVM-based applications
• Strong written communication — you'll produce reports consumed by engineers, product managers, leadership, and customers
• Comfort navigating complex, multi-service architectures to understand system behavior under load
• Bachelor's degree in computer science or related field or equivalent software development experience
• Experience with observability tooling (OpenTelemetry, Grafana) for correlating application metrics with test outcomes
• 5 years software development experience

Preferred Knowledge, Skills and Experience needed for the job

• Experience validating availability, failover, and resilience characteristics (not just throughput/latency)
• Experience assessing data integrity and consistency under concurrent load
• Familiarity with Kubernetes and performance considerations in containerized environments (resource limits, scaling behavior, pod disruption)
• Experience with event-driven / choreographed microservice patterns and messaging systems (e.g., NATS or similar)
• Experience with MongoDB performance analysis (query profiling, indexing strategies, write concern trade-offs, replication lag)
• Background in payments, fintech, or high-availability transaction processing where latency and throughput SLAs are critical
• Familiarity with security testing or compliance validation practices
• Experience producing customer-facing technical documentation (sizing guides, performance characterizations, capacity recommendations)