Platform Engineer

Job Description 

Own and improve components of our internal developer platform. Use strong engineering fundamentals and AI coding agents to deliver useful, tested changes at pace. Make common development and operational tasks self-service, and support the services you build in production. 

Key Responsibilities 

Deliver platform features from clarified requirements through implementation, testing, rollout and support. Agree acceptance criteria and keep changes small enough to review. 

Use AI agents to investigate repositories, implement changes, write tests and improve documentation. Provide relevant context, inspect results and correct mistakes. 

Build reusable Terraform modules, CI/CD templates and platform APIs or command-line tools that replace recurring manual work. 

Operate cloud and Kubernetes services, including GitOps with FluxCD. Improve observability, recovery procedures, capacity and cost as part of delivery. 

Verify code and infrastructure changes with meaningful tests, plan review and security checks. Document deployment risks and a workable rollback. 

Work with product engineers to understand friction, improve supported delivery paths and confirm that self-service tools solve their needs. 

Investigate incidents using logs, metrics and traces. Check AI suggestions against evidence and turn recurring failures into permanent fixes. 

Share reusable automation and AI workflows through reviews and documentation. Show improvements in delivery time, manual effort or service reliability. 

Skills, Knowledge and Expertise 

Evidence of independently delivering and supporting production changes in platform engineering, software development, DevOps or SRE. Capability matters more than years served. 

Practical use of an AI coding agent beyond autocomplete. Can explain task decomposition, context selection, verification and a mistake you caught. 

Ability to write, read, test and debug maintainable code in Go, Python or a comparable language, and use shell scripting appropriately. 

Hands-on Terraform and Git experience, including state, dependencies, drift and the consequences of an infrastructure plan. 

Experience with CI/CD, containers and Kubernetes. Understand GitOps reconciliation and can learn our FluxCD workflows. 

Working knowledge of a major public cloud, Linux, networking, identity and access, secrets, and operational telemetry. 

Clear written communication, constructive reviews and a habit of learning unfamiliar systems. Can explain and troubleshoot delivered work without relying on AI. 

Benefits 

At Dye & Durham we strive to be visionaries! As a leader in our field, we ensure our employees are ready for the next challenge in their journey with us offering internal and external training opportunities. We offer competitive salaries and a whole host of benefits including healthcare, pension, company discounts, wellness programs, and paid days off to move house or volunteer for your favourite charity. 

In line with the amended Employment Standards Act 2000, the salary range for this role is: 

$120K-$140K, dependent on assessment of skills during the interview process.  

Do you share our DNA? 

We ask how tomorrow can be better than today 

We are passionate about solving our customer's challenges 

Our ideas break boundaries 

We value different perspectives and encourage dialogue 

We take ownership and celebrate together 

At Dye & Durham, we are fortunate to connect with exceptional talent across our business. While we carefully evaluate every submission, if you do not hear from our Talent team within 14 days of applying, it indicates that we are moving forward with other candidates for this role. Due to volume, we are unable to provide personalized feedback on initial applications, but we encourage you to stay connected for future opportunities