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- Tasks: Design and build high-performance tools for validating ML data pipelines and AI infrastructure.
- Company: Join a leading tech firm focused on innovation and quality engineering.
- Benefits: Attractive salary, health perks, remote work options, and growth opportunities.
- Why this job: Make a real impact in AI while working with cutting-edge technologies.
- Qualifications: 8+ years in software development, expert in Python, and CI/CD experience required.
- Other info: Dynamic team environment with mentorship opportunities and career advancement.
The predicted salary is between 48000 - 72000 £ per year.
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.
Software Development Engineer in Test (SDET Engineer) employer: Insight International (UK) Ltd
Contact Detail:
Insight International (UK) Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Development Engineer in Test (SDET Engineer)
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that SDET role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and CI/CD pipelines. We want to see your hands-on experience with automation frameworks and cloud-native practices.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge. We recommend practising coding challenges and discussing your past experiences with testability and platform resilience. Be ready to share how you’ve mentored others too!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. Let’s get you into that SDET position!
We think you need these skills to ace Software Development Engineer in Test (SDET Engineer)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, CI/CD systems, and cloud services like AWS. We want to see how your skills align with the role, so don’t be shy about showcasing 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 ML platform. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects: If you've worked on any cool projects related to automation frameworks or platform resilience, make sure to mention them. We’re keen to see examples of your work that demonstrate your expertise and creativity.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Insight International (UK) Ltd
✨Know Your Tech Stack
Make sure you’re well-versed in Python, Terraform, and the CI/CD tools mentioned in the job description. Brush up on your knowledge of AWS services too, as they’ll likely ask you about your experience with Lambda, S3, and other cloud tools.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, especially related to test automation and platform resilience. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your contributions.
✨Demonstrate Collaboration
Since the role involves working closely with engineering and MLOps teams, be ready to share examples of how you’ve successfully collaborated in the past. Talk about how you’ve influenced technical standards or mentored junior engineers to show your leadership skills.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the company’s ML platform and its challenges. Inquire about their current testing strategies or how they integrate quality engineering into their development process. This will demonstrate your enthusiasm and proactive mindset.