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For Companies At a Glance
- Tasks: Build cutting-edge AI infrastructure and robust data pipelines for enterprise-scale applications.
- Company: Join Geniez AI, a pioneering tech company transforming business platforms with Generative AI.
- Benefits: Competitive salary, remote work options, and opportunities for professional growth.
- Other info: Be part of a small, dynamic team with a focus on innovation and learning.
- Why this job: Make impactful decisions that shape the future of AI technology in major enterprises.
- Qualifications: Expertise in Python, Java, Typescript, and experience with Kubernetes and distributed computing.
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
- Data infrastructure for AI: Build robust data pipelines using Python, Spark and other tools that power our agentic workflows and AI agents at enterprise scale.
- Hybrid cloud architecture: Design and implement our Kubernetes-native deployment model that works seamlessly across on-prem, AWS, Azure, GCP, and hybrid environments.
- 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, usage and performance.
- 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 in production: Hands-on experience deploying and operating workloads on Kubernetes.
- Distributed computing: Real experience with Spark or similar data processing frameworks at large-scale.
- 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 deploying agentic AI workflows in production at scale.
- Worked with enterprise customers on deployment/integration.
- Experience with Helm, Terraform, or similar tools.
- Experience building enterprise software in 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 - Core Infrastructure in Sheffield employer: Geniez AI
Contact Detail:
Geniez AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer - Core Infrastructure 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 or GitHub repository showcasing your projects, especially those involving Python, Kubernetes, or any relevant tech. This gives potential employers a taste of what you can do beyond just a CV.
✨Tip Number 3
Prepare for technical interviews by practicing coding challenges and system design questions. Use platforms like LeetCode or HackerRank to sharpen your skills. Remember, they want to see how you think and solve problems!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our team at Geniez AI. Don’t miss out on this opportunity!
We think you need these skills to ace Software Engineer - Core Infrastructure 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 distributed computing, as these are key for us at Geniez AI.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about building enterprise-scale solutions. Share specific examples of your past work that demonstrate your ownership mentality and DevOps mindset.
Showcase Your Projects: If you've worked on relevant projects, whether personal or professional, make sure to include them. We love seeing how you've applied your skills in real-world scenarios, especially with AI workflows and cloud infrastructure.
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 knowledge too, as you'll need to demonstrate your hands-on experience with deploying workloads. Be ready to discuss specific projects where you've used these technologies.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled complex problems in previous roles. Think of examples where you designed data pipelines or implemented hybrid cloud architectures. Highlight your DevOps mindset and how it has helped you automate processes.
✨Understand the Company’s Needs
Research Geniez AI and their enterprise focus. Understand the unique performance requirements and security constraints they face. This will help you tailor your answers to show how your skills can directly benefit their customers.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their current challenges with infrastructure or how they envision scaling their solutions. This not only demonstrates your enthusiasm but also your strategic thinking.