SRE / Observability Engineer

At One NZ we’re not just imagining the future, we’re building it. Our purpose? A better-connected Aotearoa New Zealand. Kia renarena te taukaea i Aotearoa New Zealand.

Our ambition? To become the most AI-enabled telco on the planet. This isn’t just about our technology, It’s about you. We’re investing in our people like never before.... empowering them to grow, lead, and shape what’s next.

Through our AI School, access to world-class learning platforms, or career pathways that evolve with you, we create an environment where your curiosity thrives, and your skills accelerate.

Join us and be part of something extraordinary : connect with purpose and help redefine what’s possible.

“If you asked me, what is the greatest thing in this world, I would say it is people, it is people, it is people.”

As the SRE / Observability Engineer – Data & AI Platforms, you’ll lead the reliability, governance, and observability of One NZ’s Data & AI platforms to enable faster, incident-free delivery. You’ll embed best-practice telemetry, readiness gates, and cost-aware operations across the AI lifecycle, working cross-functionally to align support models, resilience strategies, and FinOps controls. This role combines hands-on enablement with strategic influence to ensure our platforms remain secure, scalable, and production-grade.

Ko tō mahi – what you’ll do

• Define SLIs / SLOs for core services and build dashboards and alerts using logs, metrics, and traces.
• Continuously improve alert quality to reduce noise and increase actionability.
• Set and own outcome targets such as MTTD, MTTR, recurrence rates, and change success.
• Define severity levels, taxonomy, and communication SLAs.
• Ensure on-call readiness with partners, lead P0 / P1 incident response and stakeholder updates, and drive post-incident actions to closure.
• Maintain a Known Error Database (KEDB), trend reporting, and a prevention backlog tied to SLO breaches.
• Standardise resilience patterns including health checks, timeouts, retries, backoff strategies, and autoscaling.
• Lead capacity and performance testing and enforce error-budget policies.
• Enforce tagging to surface product-level costs, monitor budget variances and anomalies, and drive safe optimisations such as caching, batching, and model sizing.
• Co-define acceptance criteria for production and support readiness across security, privacy, observability, and FinOps.
• Automate checks in CI / CD pipelines and enable fast, safe rollback.
• Maintain current standards, diagrams, evaluation reports, and runbooks to ensure clean handovers and reduce single points of failure.

Na tōu rourou - what you’ll bring

What we offer

Joining our whānau is more than starting a new job - it’s the beginning of a journey that will challenge and inspire you to play a role in something bigger.

We stand to uplift, to support and to elevate others.

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