At a Glance
- Tasks: Design and build tools to validate ML data pipelines and AI infrastructure.
- Company: Join a leading tech firm focused on innovation and quality engineering.
- Benefits: Attractive salary, health perks, and opportunities for remote work.
- Other info: Dynamic team environment with mentorship opportunities and career growth.
- Why this job: Make a real impact in AI while working with cutting-edge technologies.
- Qualifications: 8+ years in software development, expert in Python, AWS, and CI/CD.
The predicted salary is between 36000 - 60000 £ per year.
SDET (Software Development Engineer in Test) profile, in short, we are looking for the Software engineer who has experience in working in Test Engineering role and hands-on experience in Python, AWS and testing tools like pytest, playwright.
Key Responsibilities
- Design and build high-performance tools and services to validate the reliability, performance, and correctness of ML data pipelines and AI infrastructure.
- Develop platform-level test solutions and automation frameworks using Python, Terraform, and modern cloud-native practices.
- Contribute to the platform’s CI/CD pipeline by integrating automated testing, resilience checks, and observability hooks at every stage.
- Lead initiatives that drive testability, platform resilience, and validation as code across all layers of the ML platform stack.
- Collaborate with engineering, MLOps, and infrastructure teams to embed quality engineering deeply into platform components.
- Build reusable components that support scalability, modularity, and self-service quality tooling.
- Mentor junior engineers and influence technical standards across the Test Engineering Program.
Required Qualifications
- Bachelor’s or master’s degree in computer science, Engineering, or a related technical field.
- 8+ years of hands-on software development experience, including large-scale backend systems or platform engineering.
- Expert in Python with a strong understanding of object-oriented programming, testing frameworks, and automation libraries.
- Experience building or validating platform infrastructure, with hands-on knowledge of CI/CD systems, GitHub Actions, Jenkins, or similar tools.
- Solid experience with AWS services (Lambda, S3, ECS/EKS, Step Functions, CloudWatch).
- Proficient in Infrastructure as Code using Terraform to manage and provision cloud infrastructure.
- Strong understanding of software engineering best practices: code quality, reliability, performance optimization, and observability.
Preferred Qualifications
- Exposure to machine learning workflows, model lifecycle management, or data engineering platforms.
- Experience with distributed systems, event-driven architectures (e.g., Kafka), and big data platforms (e.g., Spark, Databricks).
- Familiarity with banking or financial domain use cases, including data governance and compliance-focused development.
- Knowledge of platform security, monitoring, and resilient architecture patterns.
SDET (On-Site) employer: Insight International (UK) Ltd
Join a forward-thinking company that values innovation and quality, where as an SDET, you will play a pivotal role in shaping the future of our ML platform. Our collaborative work culture fosters continuous learning and mentorship, providing ample opportunities for professional growth while working with cutting-edge technologies in a vibrant location. Enjoy competitive benefits and a supportive environment that prioritises employee well-being and development.
Contact Details:
Insight International (UK) Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land SDET (On-Site)
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech world, especially those in testing and development roles. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, AWS, and testing tools. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common SDET interview questions and be ready to demonstrate your expertise in automation frameworks and CI/CD pipelines.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace SDET (On-Site)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in Test Engineering and showcases your hands-on skills in Python, AWS, and testing tools like pytest and playwright. We want to see how your background aligns with the SDET role, so don’t hold back on those relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about quality engineering and how you can contribute to our platform’s resilience and testability. We love seeing your personality come through, so keep it engaging and authentic.
Showcase Your Projects:If you've worked on any significant projects related to CI/CD, automation frameworks, or cloud-native practices, make sure to mention them. We’re keen to see examples of your work that demonstrate your expertise and problem-solving skills in real-world scenarios.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts and submit your application!
How to prepare for a job interview at Insight International (UK) Ltd
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and get familiar with testing frameworks like pytest and playwright. Be ready to discuss your hands-on experience with AWS services and how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in test engineering and how you tackled them. Use examples that highlight your ability to design high-performance tools and contribute to CI/CD pipelines.
✨Collaboration is Key
Since the role involves working closely with engineering, MLOps, and infrastructure teams, think of examples where you've successfully collaborated with cross-functional teams. Highlight how you’ve embedded quality engineering into platform components.
✨Mentorship Matters
If you've had experience mentoring junior engineers, be sure to mention it! Discuss how you've influenced technical standards and contributed to a culture of learning within your team.
