AI-Driven AWS Platform Engineer - Policy & Automation Lead in London
AI-Driven AWS Platform Engineer - Policy & Automation Lead

AI-Driven AWS Platform Engineer - Policy & Automation Lead in London

London Full-Time 70000 - 90000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead AI-driven AWS platform engineering and modernise developer workflows.
  • Company: Join ClearRoute, a forward-thinking engineering consultancy focused on innovation.
  • Benefits: Enjoy a family-friendly culture, flexible work options, and opportunities for personal growth.
  • Other info: Diverse and inclusive environment that values your unique perspective.
  • Why this job: Make a real impact by transforming how software is developed and delivered.
  • Qualifications: Strong AWS experience and skills in policy-as-code and CI/CD pipelines.

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.

AI-Driven AWS Platform Engineer - Policy & Automation Lead in London employer: ClearRoute

At ClearRoute, we pride ourselves on fostering a collaborative and inclusive work culture that prioritises employee well-being and professional growth. As an AI-Driven AWS Platform Engineer, you will have the unique opportunity to shape our innovative engineering consultancy while enjoying a family-friendly environment that supports work-life balance and flexible working arrangements. Join us to not only advance your career but also contribute to meaningful projects that drive real change in the tech landscape.
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Contact Detail:

ClearRoute Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI-Driven AWS Platform Engineer - Policy & Automation Lead in London

✨Tip Number 1

Network like a pro! Reach out to folks in the industry, especially those at ClearRoute. A friendly chat can open doors that a CV just can't.

✨Tip Number 2

Show off your skills! If you’ve got a portfolio or GitHub with projects related to AWS and AI tooling, make sure to highlight them during interviews. It’s all about demonstrating what you can bring to the table.

✨Tip Number 3

Prepare for those tricky questions! Brush up on policy-as-code and CI/CD practices. We want to see how you think through problems and come up with solutions, so be ready to share your thought process.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at ClearRoute.

We think you need these skills to ace AI-Driven AWS Platform Engineer - Policy & Automation Lead in London

AWS Platform Engineering
CDK
CloudFormation
Terraform
Policy-as-Code Implementation
OPA
Sentinel
AWS Config
CI/CD Pipelines
Scripting Skills
Python
Bash
AI Tooling Integration
Security Mindset
Container Orchestration

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter for the AI-Driven AWS Platform Engineer role. Highlight your relevant experience with AWS, policy-as-code, and automation tools. We want to see how your skills align with what we do at ClearRoute!

Showcase Your Projects: If you've worked on any projects that involved AWS platforms or AI tooling, don’t hold back! Share specific examples in your application that demonstrate your hands-on experience and problem-solving abilities. We love seeing real-world applications of your skills.

Be Authentic: Let your personality shine through in your written application. We value individuality and want to get a sense of who you are beyond your technical skills. Share your passion for technology and how you approach challenges in your work.

Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen to join our team at ClearRoute!

How to prepare for a job interview at ClearRoute

✨Know Your AWS Inside Out

Make sure you’re well-versed in AWS services, especially those relevant to platform engineering like CDK, CloudFormation, and Terraform. Brush up on your knowledge of IAM, VPC, and SCPs, as these will likely come up during the interview.

✨Showcase Your Policy-as-Code Skills

Be prepared to discuss your experience with policy-as-code frameworks such as OPA or AWS Config Rules. Have examples ready that demonstrate how you've implemented these in past projects, particularly in relation to infrastructure governance.

✨Demonstrate Your Automation Expertise

Highlight your scripting skills in Python or Bash and how you've used them to automate processes. Discuss any AI tooling or automation you've integrated into CI/CD pipelines, as this aligns perfectly with the role's focus on accelerating delivery.

✨Emphasise Collaboration and Problem-Solving

ClearRoute values collaboration, so be ready to share experiences where you’ve worked closely with engineering teams. Talk about how you’ve contributed to building self-service developer platforms and how you approach problem-solving in a team setting.

AI-Driven AWS Platform Engineer - Policy & Automation Lead in London
ClearRoute
Location: London

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