At a Glance
- Tasks: Design and implement AI-driven quality automation solutions for enterprise-grade platforms.
- Company: Join a forward-thinking tech company focused on innovation and quality.
- Benefits: Competitive salary, comprehensive benefits, remote work options, and generous paid time off.
- Other info: Collaborative environment with opportunities for mentorship and career growth.
- Why this job: Make a real impact by enhancing software quality with cutting-edge AI techniques.
- Qualifications: 5+ years in software engineering with strong automation and AI experience.
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
- 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.
- 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.
- 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.
- 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+ 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.
- 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.
- 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.
Sr Software Quality Engineer (Exp w/ AI Techniques) in Bedford employer: Aspen Technology
Join a forward-thinking company that prioritises innovation and quality in the tech industry. As a Senior Software Quality Engineer, you will thrive in a collaborative environment that fosters professional growth and embraces cutting-edge AI techniques. With a comprehensive benefits package, including generous paid time off and a commitment to employee well-being, this role offers a unique opportunity to make a significant impact while working alongside talented teams in a dynamic setting.
StudySmarter Expert Advice🤫
We think this is how you could land Sr Software Quality Engineer (Exp w/ AI Techniques) in Bedford
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Aspen Technology or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Aspen Technology.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Aspen Technology.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Aspen Technology that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Sr Software Quality Engineer (Exp w/ AI Techniques) in Bedford
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Aspen Technology.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Aspen Technology and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Aspen Technology
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Aspen Technology uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
