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For Companies At a Glance
- Tasks: Design and evolve AWS infrastructure for a cutting-edge AI analytics platform.
- Company: Fast-growing AI startup in London with a hybrid work model.
- Benefits: Competitive salary, high-trust environment, and real ownership of projects.
- Why this job: Shape the future of AI infrastructure and make a significant impact.
- Qualifications: Experience with AWS, Docker, and event-driven systems required.
- Other info: Join a small, senior team with excellent career growth opportunities.
The following information provides an overview of the skills, qualities, and qualifications needed for this role.
About the job
Stealth AI Analytics Startup | London | Hybrid
We’re hiring for a fast-growing AI startup building a cloud-native analytics platform that transforms large volumes of LLM output into structured, queryable intelligence. The system is fully AWS-native, heavily event-driven, and designed to process high volumes of AI-generated data reliably and cost-effectively. We’re looking for a Platform Engineer to own and evolve the infrastructure backbone that powers the entire platform.
What You’ll Be Doing
- Designing and evolving AWS infrastructure (ECS Fargate, Lambda, Step Functions, EventBridge, S3, DynamoDB, Athena).
- Owning container orchestration, task definitions, networking, IAM roles, and VPC architecture.
- Strengthening infrastructure-as-code and CI/CD automation to ensure repeatable, stable deployments.
- Designing event-driven, distributed systems that scale cleanly under load.
- Building monitoring, alerting, logging, and observability systems (CloudWatch, metrics, tracing).
- Driving performance optimisation and cost efficiency across workloads.
- Embedding security principles, least-privilege IAM, and infrastructure resilience from day one.
- Experimenting with AI agents and automation tools to streamline infrastructure management and operational workflows.
- This is a hands-on engineering role — you’ll be building and running the systems, not delegating them.
What We’re Looking For
- Strong production experience operating AWS infrastructure at scale.
- Deep familiarity with ECS (or similar container orchestration), Lambda, Step Functions, S3, and EventBridge.
- Strong Docker and container-native deployment experience.
- Infrastructure-as-code (Terraform, CDK, or CloudFormation).
- Experience designing event-driven or distributed systems.
- Solid Python for automation, scripting, or data pipelines.
- Strong production engineering mindset — reliability, monitoring, debugging, scaling.
- Comfort owning infrastructure decisions and being accountable for production workloads.
- Curiosity about AI tooling and automation-driven engineering.
Why Join
- Own and shape the infrastructure foundation of a growing AI platform.
- Work on modern, event-driven AWS-native systems.
- Have direct architectural influence in a small, senior team.
- High-trust environment with real ownership.
- Build infrastructure that processes large-scale AI data in production.
Platform engineer in Westminster employer: Hyre AI Limited
Contact Detail:
Hyre AI Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Platform engineer in Westminster
✨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 related to AWS and container orchestration. This gives potential employers a taste of what you can do beyond just a CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on your AWS knowledge and coding skills. Practice common platform engineering scenarios and be ready to discuss how you've tackled challenges in past roles.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining us. Tailor your application to highlight your experience with AWS and event-driven systems, and let your passion shine through.
We think you need these skills to ace Platform engineer in Westminster
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Platform Engineer role. Highlight your AWS experience, container orchestration knowledge, and any relevant projects you've worked on. We want to see how you can contribute to our AI infrastructure!
Craft a Compelling Cover Letter: Your cover letter is your chance to show us your personality and passion for the role. Explain why you're excited about working with AI and how your background makes you a great fit for our team. Keep it concise but engaging!
Showcase Your Projects: If you've worked on any relevant projects, whether personal or professional, make sure to mention them in your application. We love seeing practical examples of your skills, especially in AWS and infrastructure-as-code. It gives us a glimpse of what you can bring to the table!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Hyre AI Limited
✨Know Your AWS Inside Out
Make sure you’re well-versed in AWS services like ECS, Lambda, and S3. Brush up on your knowledge of how these services interact and be ready to discuss your hands-on experience with them. It’s not just about knowing the theory; they’ll want to hear about real-world applications.
✨Showcase Your Infrastructure-as-Code Skills
Be prepared to talk about your experience with infrastructure-as-code tools like Terraform or CloudFormation. Bring examples of how you've used these tools to automate deployments and ensure stability. They’ll appreciate a candidate who can demonstrate practical knowledge in this area.
✨Demonstrate Problem-Solving Mindset
Expect questions that test your production engineering mindset. Think of scenarios where you had to troubleshoot issues or optimise performance. Share specific examples that highlight your ability to think critically and act decisively under pressure.
✨Emphasise Your Curiosity About AI
Since this role involves working with AI-driven systems, show your enthusiasm for AI tooling and automation. Discuss any projects or experiments you’ve undertaken in this space. This will help convey your passion and fit for a fast-growing AI startup.
