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- Tasks: Lead the design and delivery of AI-enabled developer platforms on AWS.
- Company: Join ClearRoute, a forward-thinking engineering consultancy focused on innovation.
- Benefits: Flexible work environment, competitive salary, and a culture that values work-life balance.
- Other info: Diverse and inclusive workplace with opportunities for personal and professional growth.
- Why this job: Shape the future of software development while making a real impact in tech.
- Qualifications: Strong AWS experience and a passion for automation and AI tooling.
The predicted salary is between 70000 - 90000 £ per year.
About Us: ClearRoute is an engineering consultancy bridging Quality Engineering, Cloud Platforms and Developer Experience. We help enterprises reliably bring high-impact digital products to market faster, cheaper, and safer, working with technology leaders facing complex business challenges. We take as much pride in our people, culture and work-life balance as we do in making better software. We’re not just making better software. We’re making the making of software better. Collaborative, entrepreneurial and dedicated to problem solving, we bring the step change our customers need to sustain innovation. Our values challenge us to do the best we can for ClearRoute, our customers and most importantly our team. This is an opportunity for you to build the organisation from the ground up, use your voice to drive change and help transform organisations and problem domains.
Role: Redefines the path to production using AI-enabled platform engineering. Owns the design and delivery of modern developer platforms on AWS. Drives policy-as-code adoption across both infrastructure and the SDLC. Embeds AI tooling and automation to accelerate and govern the delivery lifecycle.
Key Responsibilities:
- Design and build AWS-native developer platforms that modernise the path to production.
- Implement policy-as-code frameworks (e.g. OPA, AWS Config Rules) for infrastructure governance.
- Extend policy-as-code principles into the SDLC (PR gates, compliance checks, pipeline guardrails).
- Integrate AI tooling to automate code review, security scanning, and deployment decisions.
- Define and enforce golden paths for service onboarding, CI/CD, and infrastructure provisioning.
- Build self-service developer tooling that reduces cognitive load and accelerates delivery.
- Ensure secure, scalable AWS environments using IAM, VPC, SCPs, and infrastructure-as-code.
- Collaborate with engineering teams to embed platform standards across the delivery lifecycle.
Required Experience:
- Strong AWS platform engineering experience (CDK, CloudFormation, or Terraform).
- Hands-on experience implementing policy-as-code (OPA, Sentinel, AWS Config, or equivalent).
- Deep understanding of CI/CD pipelines and modern path-to-production patterns.
- Experience embedding governance and compliance controls into the SDLC.
- Solid scripting / automation skills (Python and/or Bash).
- Proven ability to build and operate self-service internal developer platforms.
- Experience with AI-assisted tooling or LLM integration in engineering workflows.
- Strong security mindset with experience securing cloud-native, production-grade systems.
Desirable Experience:
- Familiarity with AWS service control policies (SCPs) and organisation-level guardrails.
- Experience with developer portals or IDP tooling (e.g. Backstage).
- Knowledge of FinOps principles and cloud cost governance.
- Exposure to AI code assistants or AI-driven pipeline automation.
- Experience with container orchestration (ECS, EKS) and serverless patterns.
- Familiarity with software supply chain security (SBOM, SLSA, Sigstore).
- Background in platform or DevOps engineering within regulated or enterprise environment.
At ClearRoute, we believe diverse perspectives lead to better outcomes, and inclusion creates the conditions for everyone to thrive. We are proud to have built a family friendly working environment and have many employees who have caring responsibilities alongside work. We welcome applications from people who require flexibility and will be happy to discuss needs on an individual basis. We are committed to fostering a culture where all team members feel respected, supported, and empowered to do their best work. We celebrate individuality and our differences and understand that some differences may mean that you require changes made to the interview process. We are happy to cater to your needs to make the interview accessible, if this is something you require please let us know by emailing us at join@clearroute.io
Lead AI-Enabled Platform Engineer in London employer: ClearRoute
Contact Detail:
ClearRoute Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI-Enabled Platform Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those related to AWS and AI tooling. It’s a great way to demonstrate what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to platform engineering. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our ClearRoute family.
We think you need these skills to ace Lead AI-Enabled Platform Engineer in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Lead AI-Enabled Platform Engineer role. Highlight your AWS platform engineering experience and any relevant projects that showcase your skills in policy-as-code and CI/CD pipelines.
Showcase Your Problem-Solving Skills: We love a good problem solver! In your application, share examples of how you've tackled complex challenges in previous roles, especially those involving AI tooling or automation. This will help us see how you can contribute to our mission.
Be Authentic: Let your personality shine through in your written application. We value individuality and want to get to know the real you. Share your passion for technology and how it drives you to innovate and improve processes.
Apply Through Our Website: For the best chance of success, make sure to apply directly through our website. This helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at ClearRoute
✨Know Your AWS Inside Out
Make sure you brush up on your AWS platform engineering skills, especially with tools like CDK, CloudFormation, and Terraform. Be ready to discuss how you've used these in past projects and how they can help redefine the path to production.
✨Showcase Your Policy-as-Code Experience
Since policy-as-code is a key part of the role, prepare examples of how you've implemented frameworks like OPA or AWS Config Rules. Talk about the challenges you faced and how you overcame them to ensure infrastructure governance.
✨Demonstrate Your CI/CD Knowledge
Be prepared to dive deep into CI/CD pipelines and modern path-to-production patterns. Share specific instances where you've embedded governance and compliance controls into the SDLC, and how that improved the delivery process.
✨Highlight Your AI Tooling Experience
With AI tooling being a significant aspect of the role, come equipped with examples of how you've integrated AI-assisted tools into engineering workflows. Discuss the impact this had on automation and decision-making in your previous roles.