Senior Site Reliability Engineer, ANZ at Partly in Christchurch
- Company: Partly
- Location: Christchurch
- Job type: full time
- Workplace: onsite
- Posted: 2026-08-27
Job description
Note: Partly is headquartered in Austin, TX with offices in London, UK, Christchurch, NZ and Auckland, NZ. Wherever you're based, we'll connect you with your nearest office for onboarding, and fly you to join the full team for our quarterly "Season Openers" (we cover travel and accommodation). If you're relocating to join us, we can also assist with relocation costs. 🚀 Our Story Partly is building the infrastructure for anyone to repair anything. We believe everything built should be repairable, and we're building frontier AI to put repair knowledge to work, starting with the $2tn automotive market. Our model, Interpreter, is the first AI purpose-built to understand repair. Trained on 1M+ car models and 1B+ parts, it reads a repair job the way an estimator does, resolves damage into the exact purchasable part, and shows its reasoning with a confidence score. On real production jobs, an estimator working with Interpreter reaches 98.8% parts-list accuracy, against 92.1% with today's tools. It powers PartlyRepair, used by collision shops, workshops and suppliers to take the admin off the job; PartlyLabs, the agentic infrastructure enterprises use to deploy Interpreter across their own workflows; and a developer API. Founded by ex-Rocket Lab engineers, we've raised a $50m Series B led by DST Global (Anthropic, Airbnb, Meta, TikTok, Spotify), with Blackbird Ventures, WNDR, Activant Capital, Icehouse Ventures, Square Peg, Airtree and Ecliptic Venture Capital. Hear it from the team: Why Partly exists and AI at Partly. 🖍️ This role Site Reliability Engineering (SRE) combines software and systems engineering to build and run large-scale, distributed systems, ensuring that both internally critical and externally visible services have the reliability, uptime, and performance appropriate to clients' needs while enabling a fast rate of improvement. SREs maintain constant awareness of system capacity and performance, ensuring our networks, platforms, and tools are scalable, secure, and reliable so engineers can focus on delivering impactful software. This senior role demands high autonomy, leadership, and strategic thinking, making it ideal for those excited by the challenge of designing and supporting the infrastructure that connects the worlds parts. 💻 What will you do • Reliability Engineering: Ensure the stability, scalability, and security of our cloud infrastructure, Partly & 3rd party applications in our Kubernetes powered clusters. Leverage Infrastructure-as-Code and automation (Terraform for GCP, GitOps with ArgoCD, Custom scripts in Python/Bash, etc.) to deploy and manage workloads and resources in a repeatable, automated way. • Cost Optimisation: Monitor and optimise costs across our cloud and on-prem infrastructure, ensuring we get maximum value from our investments. Make recommendations for resource allocation or architecture changes to improve cost-efficiency without sacrificing reliability or performance. • Cross-Functional Collaboration: Work closely with developers, data engineers, and leadership to plan infrastructure needs and improvements. Provide tooling, guidance and training to the engineering team on SRE practices, and collaborate during software delivery to ensure smooth integrations from code to production. • Software Engineering: Make sure our software meets high production readiness standards. When you see a problem or an opportunity to improve, you drive the solution. • Troubleshooting: participate in incidents resolutions, give developers helping hand in debugging applications, networks, databases, compute systems. Want to learn more about the problems we're solving and the culture we're building at Partly? Hear directly from our team here: https://shorturl.at/DPDdl 🥷 Your skills • Software Engineering: You excel at developing and maintaining large, established software systems beyond simple scripts and utilities. You definitely know what makes software maintainable and you are able to write robust code. •
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