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- Tasks: Design and maintain cloud infrastructure for AI-driven products, ensuring reliability and scalability.
- Company: Join a forward-thinking AI Engineering team with a focus on innovation.
- Benefits: Enjoy comprehensive health coverage, flexible work options, and a supportive well-being programme.
- Other info: Dynamic role with opportunities for growth and collaboration in a tech-savvy environment.
- Why this job: Make a real impact on cutting-edge AI technologies while driving developer efficiency.
- Qualifications: Experience in DevOps or Platform Engineering, especially with Azure and CI/CD pipelines.
The predicted salary is between 60000 - 80000 £ per year.
As part of our AI Engineering team, you will own the infrastructure and delivery pipelines that keep our AI-driven products reliable, scalable, and fast. You will design and maintain the cloud environments, CI/CD workflows, and observability systems that enable our engineers to ship with confidence. This is a high‑ownership role where your decisions directly affect developer velocity and production stability.
Responsibilities
- Design, build, and maintain cloud infrastructure on Azure to support AI/ML workloads and SaaS product delivery.
- Own and evolve CI/CD pipelines to enable fast, reliable, and repeatable deployments across environments.
- Implement Infrastructure as Code (Terraform) to manage and version all cloud resources.
- Build and maintain observability and monitoring systems (Prometheus, Grafana, Elastic stack) to ensure production reliability.
- Collaborate closely with AI/ML engineers and product engineers to optimise deployment workflows for model serving and application delivery.
- Drive security best practices across infrastructure, including secrets management, network policies, and access controls.
- Contribute to architecture decisions and champion reliability, performance, and cost‑efficiency across the platform.
Qualifications
- Proven hands‑on experience in a DevOps, SRE, or Platform Engineering role.
- Strong experience with Azure cloud services (compute, networking, storage, identity).
- Proficiency with Infrastructure as Code (Terraform).
- Solid experience building and maintaining CI/CD pipelines (GitHub Actions).
- Hands‑on experience with container orchestration (Kubernetes, Docker).
- Proficiency in scripting and automation (Python, Bash, or similar).
- Understanding of networking fundamentals, security best practices, and secrets management.
- Experience with monitoring and observability tools (e.g., Prometheus, Grafana, Elastic stack).
Preferred Skills
- Experience supporting ML/AI workloads in production, including GPU‑based infrastructure and model serving pipelines.
- Knowledge of cost optimisation strategies for cloud infrastructure.
- Experience with database administration and management (e.g., Postgres).
- Background in regulated or enterprise environments with compliance requirements.
Benefits
- Medical, dental, and vision coverage.
- Life, AD&D, and disability benefits.
- Paid time off and leaves of absence.
- Voluntary benefits, perks, and flexible work options.
- Well‑being resources and employee assistance program.
- Business travel insurance and service recognition awards.
- Retirement savings plan and employee stock purchase plan.
Senior Platform Engineer employer: AECOM
Contact Detail:
AECOM Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Platform Engineer
✨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 Azure, CI/CD, and Infrastructure as Code. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and scenarios related to platform engineering. Practice explaining your thought process and decisions clearly, as communication is key in these roles.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Platform Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match our Senior Platform Engineer role. Highlight your hands-on experience with Azure, CI/CD pipelines, and Infrastructure as Code to grab our attention!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI engineering and how your background aligns with our mission. Share specific examples of your work that demonstrate your ability to drive reliability and performance.
Showcase Your Projects: If you've worked on relevant projects, don’t hesitate to include them! Whether it's building cloud infrastructure or implementing monitoring systems, we want to see what you've done and how it relates to the role.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at AECOM
✨Know Your Tech Stack
Make sure you’re well-versed in Azure cloud services, Terraform, and CI/CD pipelines. Brush up on your knowledge of Kubernetes and Docker too, as these are crucial for the role. Being able to discuss your hands-on experience with these technologies will show that you’re ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, especially around infrastructure reliability and deployment workflows. Use the STAR method (Situation, Task, Action, Result) to structure your answers, demonstrating how your decisions positively impacted developer velocity and production stability.
✨Understand the Company’s AI Focus
Familiarise yourself with the company’s AI-driven products and how they leverage cloud infrastructure. Be ready to discuss how you can contribute to optimising deployment workflows for model serving and application delivery, showing that you understand the intersection of AI and platform engineering.
✨Emphasise Collaboration
This role requires close collaboration with AI/ML engineers and product teams. Prepare examples of how you’ve successfully worked in cross-functional teams before, highlighting your communication skills and ability to drive security best practices across infrastructure.