Aspen Technology

Sr Software Quality Engineer (Exp w/Built in Quality & AI/ML/LLM Techniques)

Aspen Technology$90K — $112K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • BS/MS in Computer Science, Engineering, or related field.
  • 5-8 years of experience in software engineering, focusing on automation, quality engineering, or performance engineering.
  • Strong programming skills in Python, Java, C#, or JavaScript/TypeScript.
  • Experience building test automation frameworks and integrating them into CI/CD pipelines.
  • Familiarity with cloud platforms (Azure), microservices, and distributed systems.
  • Solid understanding of Agile/SAFe delivery models and enterprise-scale software development.
  • Excellent problem-solving, communication, and cross-team collaboration skills.

Responsibilities

  • Design and implement intelligent quality automation solutions for better test coverage and defect detection.
  • Apply ML-assisted techniques for test generation and intelligent regression optimization.
  • Build automated quality signals for data-driven release decisions using telemetry and logs.
  • Drive quality strategies by integrating automation into pre-release and production monitoring.
  • Architect and maintain scalable automation frameworks for testing APIs and backend systems.
  • Integrate automation into CI/CD pipelines with quality gates and release checks.
  • Monitor system performance and collaborate with teams to enhance scalability and reliability.

Benefits

  • Paid time off and charitable giveback day.
  • Comprehensive medical, dental, and vision insurance.
  • Retirement benefits for eligible employees.
Full Job Description
The Role
We are seeking a Senior Automation and AI-Driven Quality Engineer to design, implement, and scale intelligent quality, automation, and performance engineering solutions across enterprise-grade, AI-enabled platforms.

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.

Your Impact

AI-Driven Quality Engineering

  • Design and implement AI-driven quality automation solutions to improve test coverage &  defect detection.
  • Apply ML/LLM-assisted techniques for test generation, intelligent test selection, prioritization, and regression optimization.
  • 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.

Test Automation Engineering

  • 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.
  • Integrate automation into CI/CD pipelines (e.g., Azure DevOps, GitHub Actions, Jenkins) with quality gates and release checks.
  • Develop reusable test utilities, data orchestration tools, and environment-aware automation for complex enterprise deployments.
  • Enable automation reporting and dashboards for engineering, QA, and leadership visibility.

Performance & Reliability Engineering

  • 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.
  • Analyze performance bottlenecks using observability and APM tools (metrics, logs, traces).
  • Collaborate with architecture and DevOps teams to improve scalability, resilience, and system reliability.
  • Support production performance validation using telemetry-driven feedback loops.

SAFe & Cross-Team Collaboration

  • Act as a senior technical contributor across Agile Release Trains (ARTs) in a SAFe environment.
  • Partner with Product Owners, Architects, and RTEs to embed automation, performance, and quality objectives into PI Planning.
  • Contribute to backlog refinement by defining automation and quality enablers.
  • Lead root cause analysis for complex quality, performance, and reliability issues across teams.
  • Mentor engineers on automation best practices, AI-assisted testing, and quality engineering principles.

What You'll Need
  • BS/MS in Computer Science, Engineering, or related field.
  • 5 -8 years of experience in software engineering, with strong focus on automation, quality engineering, or performance engineering.
  • Strong programming skills in Python, Java, C#, or JavaScript/TypeScript.
  • Hands-on experience building test automation frameworks and integrating them into CI/CD pipelines.
  • Experience with cloud platforms (Azure), microservices, and distributed systems.
  • Solid understanding of Agile / SAFe delivery models and enterprise-scale software development.
  • Excellent problem-solving, communication, and cross-team collaboration skills.
  • Experience with AI/ML-assisted testing, LLM-based automation, or intelligent quality systems.
  • Familiarity with performance testing tools (e.g., JMeter, Gatling, K6) and observability stacks.
  • Experience with containers (Docker), orchestration (Kubernetes), and Infrastructure as Code.
  • Exposure to DevOps, reliability engineering, or production telemetry analysis.
  • Prior experience working in AI-powered or data-driven product environments.

#LI-WJ1

The salary range for this role is $90,200.00 - $112,800.00. This range represents what we in good faith believe is the range possible for base compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range based on several factors. This range may be modified in the future. This role is also eligible for bonus or variable incentive pay. Additionally, we offer a comprehensive benefits package including paid time off, charitable giveback day, medical/dental/vision insurance, and retirement benefits to eligible employees.

About Aspen Technology

Aspen Technology, Inc., known as AspenTech, is a provider of software and services for the process industries headquartered in Bedford, Massachusetts. AspenTech has 35 offices around the world, on all continents.
Learn more about Aspen Technology
Size
1,897 employees
Market Cap
$13.1 billion
Industry
Net Income
$306.9 million
Founded
1981
5 Year Trend
-3.9%
Revenue
$688.5 million
NASDAQ

Similar Jobs

More Jobs at Aspen Technology

More Information Technology Jobs

Find similar Sr Software Quality Engineer (Exp w/Built in Quality & AI/ML/LLM Techniques) jobs: