MEQ is seeking a DevOps Engineer to own and improve CI/CD pipelines, enhance observability, and optimize deployment workflows. This role requires strong Linux and cloud infrastructure experience, with a focus on collaboration with engineering teams. Ideal candidates will contribute to a fast-paced, AI-first engineering environment focused on real-world impact.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
About MEQ
MEQ is a fast-growing Australian technology company operating at the intersection of hardware, software, and data.
Their products are deployed in real-world environments globally, combining edge devices, cloud infrastructure, and data-driven insights to help customers monitor, optimise, and improve performance in critical industries.
What makes MEQ unique:
- 🌍 Real-world impact, not just SaaS dashboards
- 🧠 AI-first mindset, actively adopting modern tooling across engineering
- 📈 Scaling globally, with strong growth in the US market
- ⚙️ Complex systems, edge devices + cloud + data pipelines
About the Role
This is not a siloed DevOps role.
👉 You’ll work closely with engineers, product, and quality teams
👉 You’ll own and improve the deployment, observability, and delivery pipeline
👉 You’ll help the team move faster and ship more reliably
What You’ll Be Doing
- Own and improve CI/CD pipelines (GitHub Actions)
- Optimise deployment workflows across environments
- Build and enhance observability, monitoring & alerting systems
- Reduce manual steps and improve reliability across infrastructure
- Work closely with engineers to improve delivery speed and system health
- Help define and track key product and system metrics
- Contribute to code where needed (Python or similar)
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Tech Stack
- Python, Linux
- AWS & Azure
- Docker
- GitHub Actions
- Elastic (observability)
- Puppet (infra)
👉 Experience with similar tools is absolutely fine
What They’re Looking For
Must-Haves
- Experience working in a software/product engineering environment
- Strong Linux + cloud infrastructure experience
- Hands-on experience with CI/CD pipelines
- Exposure to monitoring / observability tools
- Ability to work closely with engineers (not just infra teams)
- Open to using AI tools to improve productivity
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Nice to Have
- Experience with:
- Elastic / Prometheus / Grafana
- Kubernetes / containerised environments
- IoT / edge / hardware-connected systems
- Exposure to AI tools or AI-driven workflows
Why This Role is Different
- AI-first engineering environment (you’ll actually use modern tooling)
- Real ownership of DevOps (not a support function)
- Work on real-world systems, not just SaaS dashboards
- Opportunity to help shape how the team scales globally
What Success Looks Like
- Engineers spend less time on infrastructure, more on product
- Deployments become faster, safer, and more automated
- Clear visibility into system performance and issues
- A scalable DevOps foundation is built for future growth
Location
- Fully Remote
- Australia (East Coast) for timezone overlap
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