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Platform engineer

Lisburn
Harrington Starr
Platform engineer
Posted: 10 November
Offer description

Platform Engineer – AWS / Python / Terraform / Bitbucket

📍 Belfast (Hybrid – 3 days in office)

💰 £70,000 – £80,000 + bonus + benefits


Build world-class infrastructure right here in Belfast.

We’re working with a global brokerage that’s investing heavily in its Belfast tech hub — building out a modern engineering culture driven by automation, cloud innovation, and collaboration.

As a Platform Engineer, you’ll be part of a team responsible for shaping a scalable, secure, and developer-friendly platform using AWS, Python, Terraform, and Docker. This is an opportunity to deliver meaningful impact in a fast-paced, high-performing environment where your work supports global systems used by thousands every day.


What’s on offer

* 🌍 Global reach, local impact – Be part of a growing Belfast tech hub within an established international organisation.
* 🧠 Continuous development – Access paid training, certifications, and mentorship from industry experts.
* ⚖️ Hybrid flexibility – 3 days per week in a modern Belfast City Centre office designed for collaboration.
* 💡 Challenging, high-impact work – Get hands-on with complex, large-scale systems and influence technical direction.
* 🏥 Comprehensive benefits – Up to 6% matched pension, private family health cover, life insurance, and long-term sick cover.


Your day-to-day

* Design, build, and maintain AWS-based infrastructure and tooling.
* Enhance CI/CD pipelines using Git, Bitbucket, and Terraform.
* Automate workflows and streamline deployment processes.
* Partner with software teams to improve observability and reliability across platforms.
* Define best practices for Infrastructure as Code (IaC) and DevOps processes.


What you’ll bring

* 3+ years’ experience as a Platform, DevOps, or Cloud Engineer.
* Strong understanding of AWS (or Azure) and cloud security best practices.
* Skilled in Python for automation and scripting.
* Proven experience with Docker and CI/CD automation.
* Exposure to Terraform, Grafana, or Splunk is highly advantageous.

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