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For Companies At a Glance
- Tasks: Design and build high-performance tools for validating ML data pipelines and AI infrastructure.
- Company: Join a leading tech firm focused on innovative AI solutions.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact in the AI space while working with cutting-edge technologies.
- Qualifications: 8+ years in software development, expert in Python, and experience with CI/CD systems.
- Other info: Collaborative environment with mentorship opportunities and a focus on quality engineering.
The predicted salary is between 48000 - 72000 £ per year.
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 platforms 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
- Bachelors or masters 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 employer: Response Informatics
Contact Detail:
Response Informatics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land SDET
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. 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, CI/CD, and cloud services. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common SDET interview questions and be ready to discuss your experience with automation frameworks and cloud-native practices.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace SDET
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the SDET role. Highlight your experience with Python, CI/CD systems, and any relevant cloud services like AWS. We want to see how your skills match our needs!
Showcase Your Projects: Include specific projects where you've designed or built testing frameworks or automation tools. We love seeing real examples of your work that demonstrate your expertise in platform engineering.
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: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Response Informatics
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and understand object-oriented programming thoroughly. Be ready to discuss your experience with testing frameworks and automation libraries, as these will be crucial for the role.
✨Showcase Your CI/CD Knowledge
Familiarise yourself with CI/CD systems like GitHub Actions and Jenkins. Be prepared to explain how you've integrated automated testing and resilience checks in past projects, as this will demonstrate your hands-on experience.
✨Understand Cloud Infrastructure
Get comfortable with AWS services and Terraform. You might be asked about how you've managed and provisioned cloud infrastructure, so having specific examples ready will help you stand out.
✨Emphasise Collaboration Skills
This role involves working closely with engineering, MLOps, and infrastructure teams. Be ready to share examples of how you've collaborated in the past, especially in embedding quality engineering into platform components.
