At a Glance
- Tasks: Build and automate testing infrastructure for cutting-edge AI applications.
- Company: Join Geniez AI, a pioneering enterprise Generative AI framework company.
- Benefits: Competitive salary, remote work options, and opportunities for professional growth.
- Other info: Be part of a small, dynamic team with significant career development potential.
- Why this job: Make impactful decisions that shape the future of AI technology.
- Qualifications: Expertise in Python, Java, Typescript, and Kubernetes required.
The predicted salary is between 60000 - 80000 £ per year.
About the Role
At Geniez AI, we're building the enterprise Generative AI framework that fundamentally changes how large organizations manage their most critical business platforms and how they build AI-powered applications to derive insights from core business data. As an early engineering hire, you'll architect and build the hybrid cloud infrastructure that powers our framework across the largest enterprise environments, with unique performance requirements, security constraints, and scale needs. This isn't about maintaining existing infrastructure. You'll be making foundational decisions about how our framework deploys, scales, and operates in enterprise environments. Your work will directly enable our largest customers to adopt and scale our solution with confidence. This role is open to candidates from the US, UK and Israel.
What You'll Build
- Test data infrastructure for automation: Build robust test data pipelines using Python, Spark and other tools that power our automated testing workflows and quality gates at enterprise scale.
- Prompt testing and evaluation: Implement and maintain robust evaluation frameworks (like LLM Evals) to automate the testing and validation of Generative AI prompt outputs and model performance.
- Hybrid cloud test environments: Design and implement our Kubernetes-native test deployment model that works seamlessly across on-prem, AWS, Azure, GCP, and hybrid environments for comprehensive testing.
- Deployment automation: Create tooling that makes deploying and upgrading our framework easy and reliable for customers with varying technical sophistication.
- Observability systems: Build monitoring, logging, and diagnostics that help both our team and customers understand system health and quickly diagnose issues.
- Internal CI/CD & testing: Evolve our internal development pipeline with automated testing frameworks, integration tests, deployment pipelines, and quality gates that let us ship confidently and frequently.
What We're Looking For
- Required:
- Python, Java, Typescript expertise: You write modern, clean, maintainable code and have shipped production systems with it.
- Kubernetes skills: Hands-on experience deploying and operating workloads on Kubernetes.
- Testing automation tools: Experience with modern testing frameworks like Playwright for robust UI automation, along with expertise in backend testing and LLM evaluation frameworks (e.g., LLM Evals).
- Quality assurance expertise: Deep understanding of building comprehensive quality gates, including integration, performance, and security testing into CI/CD pipelines.
- DevOps mindset: You think in terms of automation, reproducibility, and infrastructure-as-code.
- Systems thinking: You understand how pieces fit together, including networking, storage, security, observability and scale.
- Ownership mentality: You'll wear many hats and own outcomes, not just tasks.
Bonus Points:
- Experience testing agentic AI workflows in production at scale.
- Worked with enterprise customers on deployment/integration.
- Experience with Helm, Terraform, or similar configuration as code tools.
- Experience building enterprise software in Python, Java and Typescript.
- Understanding of enterprise security/compliance requirements (SOC2, etc.).
- Understanding of Mainframe computers and operating systems.
Why Join Us
- Early-stage impact: Your decisions will shape how our product works for years. You'll have direct influence on architecture, technology choices, and team culture.
- Enterprise scale from day one: Our customers are all major enterprises and Fortune 500 companies. You'll solve problems that matter at massive scale, with the urgency and autonomy of a startup.
- Backed by top investors: We're well-funded by leading VCs with runway to build something significant with focused execution.
- Small, technical team: We’re a tight group of talented people solving hard problems together.
- Learn constantly: You'll work alongside experienced engineers, get exposure to cutting-edge AI applications, and tackle problems you haven't seen before.
Software Engineer - Testing automation in Leicester employer: Geniez AI
Contact Detail:
Geniez AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer - Testing automation in Leicester
✨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 related to testing automation and cloud infrastructure. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by practising coding challenges and system design questions. Use platforms like LeetCode or HackerRank to sharpen your skills. Remember, confidence is key!
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining us at StudySmarter. Tailor your application to highlight how your experience aligns with our needs, and don’t forget to follow up after applying!
We think you need these skills to ace Software Engineer - Testing automation in Leicester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your expertise in Python, Kubernetes, and testing automation tools to show us you're the right fit for the role.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're excited about this role at Geniez AI. Share specific examples of how you've tackled similar challenges in the past and how you can contribute to our mission.
Showcase Your Projects: If you've worked on relevant projects, whether personal or professional, make sure to include them. We love seeing practical applications of your skills, especially in testing automation and cloud environments.
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 don’t miss out on any important updates from our team.
How to prepare for a job interview at Geniez AI
✨Know Your Tech Stack
Make sure you’re well-versed in Python, Java, and Typescript. Brush up on your Kubernetes skills too! Be ready to discuss how you've used these technologies in past projects, especially in testing automation.
✨Showcase Your Testing Experience
Prepare examples of how you've implemented testing frameworks like Playwright or LLM Evals. Talk about the challenges you faced and how you overcame them, as this will demonstrate your problem-solving skills and quality assurance expertise.
✨Understand the Company’s Needs
Research Geniez AI and their Generative AI framework. Understand their enterprise scale requirements and think about how your experience aligns with their goals. This shows that you’re genuinely interested in the role and can contribute from day one.
✨Demonstrate a DevOps Mindset
Be prepared to discuss your approach to automation and infrastructure-as-code. Share specific examples of how you’ve improved CI/CD pipelines or deployment processes in previous roles, highlighting your ownership mentality and systems thinking.