At a Glance
- 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 working environment, competitive salary, and a culture that values work-life balance.
- Other info: Diverse and inclusive workplace with excellent career growth opportunities.
- Why this job: Make a real impact by transforming how software is developed and delivered.
- 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 employer: ClearRoute
At ClearRoute, we pride ourselves on fostering a collaborative and inclusive work culture that prioritises work-life balance and employee well-being. Our commitment to professional growth is evident through our learning budgets, clear career frameworks, and opportunities for internal mobility, ensuring that every team member can thrive while tackling complex challenges in a supportive environment. With genuine flexibility, profit-sharing, and a vibrant community of interest-based groups, ClearRoute is not just a workplace; it's a place where you can make a meaningful impact and grow alongside your colleagues.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI-Enabled Platform Engineer
✨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 the interview by understanding ClearRoute's values and culture. Think about how your experience aligns with their mission of making software better and be ready to share examples.
✨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 take that extra step.
We think you need these skills to ace Lead AI-Enabled Platform Engineer
Some tips for your application 🫡
Show Off Your Skills:When you're writing your application, make sure to highlight your AWS platform engineering experience and any hands-on work with policy-as-code. We want to see how your skills align with what we do at ClearRoute!
Be Authentic:Let your personality shine through in your application! We value individuality and want to get to know the real you. Share your passion for problem-solving and how you can contribute to our collaborative culture.
Tailor Your Application:Don’t just send a generic application. Take the time to tailor it to the Lead AI-Enabled Platform Engineer role. Mention specific experiences that relate to the key responsibilities and required experience listed in the job description.
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’re considered for the role. Plus, it shows you’re serious about joining our team!
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 Expertise
Be prepared to discuss your hands-on experience with policy-as-code frameworks such as OPA or AWS Config Rules. Think of specific examples where you've implemented these principles in real projects, as this will demonstrate your practical understanding.
✨Demonstrate Your CI/CD Knowledge
Familiarise yourself with modern CI/CD pipeline patterns and be ready to explain how you’ve embedded governance and compliance controls into the software development lifecycle. Sharing a success story can really make you stand out!
✨Highlight Your Automation Skills
Since automation is key in this role, be ready to discuss your scripting skills, particularly in Python or Bash. Prepare to talk about any AI-assisted tooling or automation you've integrated into your workflows, as this aligns perfectly with the job requirements.
