Senior Software Development Engineer in Test (SDET)

Overview Production Engineering is seeking a Sr, Software Development Engineer in Test (SDET) to drive system reliability, scalability, and performance validation through automation and engineering rigor. This role goes beyond traditional testing—you will build systems and frameworks that validate production readiness, enforce performance and reliability standards, and ensure services behave correctly under real‑world conditions. You will operate at the intersection of software engineering, performance engineering, and system reliability, driving the strategy, architecture, and implementation of validation frameworks that ensure services are reliable, scalable, and production‑ready. Key Responsibilities System Validation & Test Automation Build and maintain automated validation frameworks for APIs, distributed systems, and critical service workflows Develop integration and end‑to‑end validation suites that reflect real production use cases Ensure validation is fully integrated into CI/CD pipelines with meaningful quality gates Design systems and tooling that improve testability, observability, and diagnosability Drive improvements in validation coverage and overall system confidence through data‑driven analysis and risk‑based prioritization Drive reduction of flaky or low‑signal tests to ensure high signal‑to‑noise automation Performance Engineering Design and implement load, stress, and endurance testing strategies for distributed systems Build and maintain performance test frameworks and workloads that model real traffic patterns Define and maintain performance baselines, SLAs/SLOs, and capacity models that guide engineering and operational decisions Analyze system behavior under load to identify bottlenecks, resource contention, and scaling limits Drive performance improvements by working directly in code, configuration, and infrastructure Integrate continuous performance validation into CI/CD and pre‑production workflows Production Engineering & Reliability Ensure services meet production readiness standards, including reliability, scalability, and observability Improve system confidence by validating real‑world scenarios, edge cases, and degradation paths Advocate for engineering practices that improve operability and system robustness Drive reliability validation efforts for complex distributed systems, including resilience, failover, and recovery testing Influence system architecture by advocating for reliability, observability, and operability best practices Use production telemetry and incident learnings to continuously improve validation and performance strategies Required Qualifications Bachelor’s degree in Computer Science, Engineering, or related field 6–8 years of experience in software engineering, SDET, SRE, or related roles Strong programming skills (Java, Python, C#, or JavaScript) with ability to build production‑quality code Proven experience designing and implementing scalable automation frameworks or validation platforms Hands‑on experience with API and distributed systems testing Experience with performance testing tools (e.g., k6, JMeter, Gatling) Familiarity with CI/CD systems and modern development workflows Solid understanding of system design, scalability, and performance fundamentals Preferred Qualifications Experience in Production Engineering, SRE, or infrastructure‑focused teams Familiarity with microservices and cloud‑native architectures Experience with observability tools (e.g., metrics, logs, tracing—Grafana, Prometheus, Datadog) Knowledge of containers and orchestration (Docker, Kubernetes) Exposure to resilience testing, chaos engineering, or fault injection Experience modeling production traffic patterns or capacity planning Key Skills Strong systems‑thinking mindset with deep understanding of distributed system behavior under load and failure conditions Ability to lead complex technical initiatives with minimal direction Strong technical judgment and ability to balance reliability, performance, and engineering velocity Experience influencing engineering teams through technical leadership and collaboration Exceptional troubleshooting and root‑cause analysis skills What Success Looks Like Systems are validated against realistic production scenarios, not just functional correctness Improved system reliability through proactive validation of edge cases and failure modes Strong contribution to a culture of engineering ownership of quality and performance Performance and scalability risks are identified and mitigated early in the development lifecycle Validation frameworks become trusted engineering tools used across teams Reliability, performance, and production‑readiness standards are consistently met across supported services Engineering teams proactively leverage validation and performance insights to improve system design Benefits This position qualifies for the following benefits package: comprehensive medical, vision, dental, and life insurance; AD&D; short‑term and long‑term disability insurance; sleep care management; Health Savings Account (HSA); Flexible Spending Account (FSA); commuter benefits; 401(k); Employee Stock Purchase Plan (ESPP); Employee Assistance Program (EAP); and tuition assistance. Employees have Flexible Time Off (FTO), receive 11 paid holidays plus 3 floating days, and are eligible for 14 weeks of primary caregiver or two weeks of secondary caregiver leave when welcoming new family members. #J-18808-Ljbffr