Aspentech
Sr Software Quality Engineer (Exp w/ AI Techniques)
Bedford, Massachusetts · Senior
Sponsorship not specified$90k-$113kDetected 30 days ago
JavaScriptPythonJavaC#Distributed SystemsGitAzureCloud PlatformsDockerKubernetesCI/CDGitHub ActionsJenkinsDevOpsMachine LearningLLMsJMeterLoad TestingTest AutomationLeadershipCommunicationCollaborationProblem Solving
About the role
- This role is hands-on and technically deep, with strong ownership across test automation, performance engineering, AI-assisted quality workflows, and SAFe-based delivery pipelines.
- You will work closely with product engineering, architecture, DevOps, and data/AI teams to embed Built-In Quality into every stage of the SDLC.
Responsibilities
- Build automated quality signals that combine test results, telemetry, logs, and metrics to support data-driven release decisions.
- Drive shift-left and shift-right quality strategies, integrating automation with both pre-release pipelines and production monitoring.
- Architect and maintain scalable, modular automation frameworks for API, backend, and system-level testing using Python, Java, or TypeScript.
- Implement automation across distributed systems, microservices, and AI-enabled components.
- Develop reusable test utilities, data orchestration tools, and environment-aware automation for complex enterprise deployments.
- Design and execute performance, load, and stress testing strategies for cloud-native and distributed systems.
- Establish performance baselines, SLAs/SLOs, and continuously validate system behavior under real-world workloads.
- Collaborate with architecture and DevOps teams to improve scalability, resilience, and system reliability.
- Support production performance validation using telemetry-driven feedback loops.
- Partner with Product Owners, Architects, and RTEs to embed automation, performance, and quality objectives into PI Planning.
Requirements
- 5+ years of experience in software engineering, with strong focus on automation, quality engineering, or performance engineering.
- Experience with AI/ML-assisted testing, LLM-based automation, or intelligent quality systems.
- Experience with cloud platforms (Azure), microservices, and distributed systems.
- Familiarity with performance testing tools (e.g., JMeter, Gatling, K6) and observability stacks.
- Experience with containers (Docker), orchestration (Kubernetes), and Infrastructure as Code.
- Prior experience working in AI-powered or data-driven product environments.
Compensation
- The salary range for this role is $90,200.00 - $112,800.00.
Benefits
- Design and implement AI-driven quality automation solutions to improve test coverage & defect detection.
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This listing is sourced directly from Aspentech's careers page and normalized into a canonical job model.