At a Glance
- Tasks: Build robust test data pipelines and automate testing workflows for enterprise-scale applications.
- Company: Join Geniez AI, a pioneering tech company transforming enterprise AI solutions.
- Benefits: Competitive salary, remote work options, and opportunities for professional growth.
- Other info: Be part of a small, dynamic team with significant learning opportunities.
- Why this job: Make impactful decisions that shape the future of AI technology in major enterprises.
- Qualifications: Proficiency in Python, Java, Typescript, and experience with Kubernetes and testing automation tools.
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 Sheffield 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 Sheffield
✨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 when you're showcasing your expertise!
✨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 Sheffield
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the role. Highlight your expertise in Python, Kubernetes, and testing automation tools like Playwright. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for building robust test data infrastructures and how your previous experiences have prepared you for this role. Let us know why you're excited about joining Geniez AI!
Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Include links to your GitHub or any other portfolio showcasing your coding skills and testing frameworks. We love seeing real examples of your work!
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 shows you’re keen on joining 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 knowledge of Kubernetes and testing automation tools like Playwright. Be ready to discuss how you've used these technologies in past projects, as this will show your practical experience.
✨Demonstrate Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex problems in software engineering. Think about challenges related to deployment automation or building test data pipelines, and be ready to explain your thought process and the outcomes.
✨Understand the Company’s Vision
Familiarise yourself with Geniez AI's mission and the role of Generative AI in enterprise environments. Show that you understand their goals and how your skills can contribute to their success. This will demonstrate your genuine interest in the position.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the technology stack, and the challenges they face. This not only shows your enthusiasm but also helps you gauge if the company culture aligns with your values and work style.