At a Glance
- Tasks: Design and build tools to ensure the reliability of ML data pipelines.
- Company: Join a leading tech firm in London focused on AI and ML innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make an impact in cutting-edge technology while mentoring the next generation of engineers.
- Qualifications: 8+ years in software development with expertise in Python and cloud technologies.
- Other info: Dynamic team environment with a focus on quality engineering and career advancement.
The predicted salary is between 48000 - 72000 £ per year.
Role: SDET (Software Development Engineer in Test)
Type: Contract/ Permanent
Location: London, UK (Onsite)
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.
Software Engineer in Test employer: Q1 Technologies, Inc.
Contact Detail:
Q1 Technologies, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer in Test
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and automation frameworks. This gives potential employers a taste of what you can do beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions and coding challenges, so you feel confident when it’s your turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to get noticed by our hiring team directly.
We think you need these skills to ace Software Engineer in Test
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Software Engineer in Test. Highlight your experience with Python, CI/CD systems, and any relevant cloud services like AWS. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include specific projects where you've designed or built testing frameworks or automation tools. This gives us a clear picture of your hands-on experience and how you approach problem-solving in real-world scenarios.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points for easy reading and make sure to highlight your key achievements. We appreciate straightforward communication!
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!
How to prepare for a job interview at Q1 Technologies, Inc.
✨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 this 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 processes. This not only shows your enthusiasm but also helps you gauge if the role is a good fit for you.