Aspentech

Aspentech

Sr Software Quality Engineer (Exp w/ AI in Quality)

Bedford, Massachusetts · Senior

Sponsorship not specified$90k-$113kDetected 12 days ago
JavaScriptPythonJavaC#Distributed SystemsGitAzureCloud PlatformsDockerKubernetesCI/CDGitHub ActionsJenkinsDevOpsMachine LearningLLMsJMeterLoad TestingTest AutomationLeadershipCommunicationCollaborationProblem Solving

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odds of building a lasting career here

47Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level II)66
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~30% per draw at Level II). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Green-card intent detected

AspenTech Corporation obtained a prevailing wage determination for Architectural and Engineering Managers in Houston, TEXAS on 2026-06-29. No matching green-card filing appears in our data yet. The determination expires in 21 days (2026-09-26), and a green-card filing must follow before then or the employer starts over.

Files H-1B transfers

2 transfer filings in the last year, covering 2 workers. Median labor-condition decision: 11 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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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.