Head of Platform

Icehouseventures; Auckland; On-site; NZD 180,000 - 250,000; Full time

Benefits offered by this job

Flexible working hours

Offices in Auckland & Christchurch

Focus Days

Parental leave & flexible return todo

Job summary

Partly in Auckland is seeking a Head of Platform to lead the team that builds Partly’s internal platform, infrastructure foundations, reliability practices, and security-by-default capabilities. You will oversee platform as an internal product, shaping strategy, driving adoption, and partnering with engineering and business to accelerate delivery while controlling cost.

You’ll own ML/AI infrastructure and agentic-forward deployments, with a focus on scalable, secure foundations and developer

Qualifications

• Proven experience leading a platform/infrastructure/SRE function with roadmap ownership and team-building.
• Strong knowledge of SRE practices, incident management, and observability.
• Deep cloud/Kubernetes experience with production workloads and scalable design.
• Hands-on IaC and automation with Terraform/ArgoCD/GitOps.
• Developer experience mindset: golden paths, docs, and adoption metrics.
• Security-by-default mindset with IAM, secrets, and vulnerability controls.
• Solid CS fundamentals and distributed systems awareness.
• ML/AI infra familiarity: GPU/TPU, model serving, MLOps.

Responsibilities

• Build and lead the Platform function (SRE, DevEx, Infra, Security enablement).
• Define roadmaps, hiring plans, and prioritisation across teams.
• Create default paths for developers (templates, CI/CD, provisioning).
• Own reliability foundations: observability, incident response, SLOs, budgets.
• Manage cloud/Kubernetes foundations, IaC, and automation.
• Develop ML infrastructure for foundation models and cost-aware deployment.
• Support agentic development with safe, self-service platforms.
• Collaborate with Product/Engineering to translate platform work into outcomes.
• Hands-on delivery early to set standards and unblock issues.

Skills

Platform Leadership

SRE & Operations

Cloud & Kubernetes

Infrastructure‑as‑Code

Developer Experience

Security‑by‑Default

Engineering Fundamentals

ML/AI Infrastructure

Agentic Platform Thinking

Communication & Influence

Ownership & Action

Tools

Terraform

ArgoCD

GitOps

GitLab CI

Kafka

PostgreSQL

Job description

Our story

Partly's mission is to connect the world's parts and we're doing that by building the first global platform for replacement parts, starting with auto parts. Our big vision is to accelerate the world towards a sustainable future where waste is eliminated and all replacement parts are universally searchable, accessible and available to all.

Founded by ex-Rocket Lab engineers, we utilise cutting-edge technology to solve challenging but exciting problems that make a huge impact in a $1.9 trillion industry. We've more than tripled our team over the last 12 months and expect to double in size again over the coming 12 months. We're a global team spanning both Europe and Australasia.

We provide a scalable digital infrastructure solution to some of the world's largest businesses and the most exciting startups. Partly's solutions are integrated across hundreds of companies globally, providing the backbone for cataloguing and managing parts online.

Our investors in Blackbird Ventures (Canva, CultureAmp etc.), Square Peg, Octopus Ventures, Icehouse, Peter Beck (Rocket Lab), Akshay Kothari (Notion Co-Founder) and Dylan Field (Figma Co-Founder).

We're continuing to build a world‑class team and ensuring Partly is a place where people can do the best work of their lives. We're proud of the culture we've built at Partly, and our values are lived throughout every experience.

This role

Head of Platform is responsible for building and leading the team that provides Partly’s foundation for shipping and operating software: the internal platform, infrastructure foundations, reliability practices, and security‑by‑default capabilities that let product teams move fast without breaking things. This now extends in two directions: the specialised infrastructure behind Partly's foundational ML/AI capabilities (GPU compute, model training and serving, inference cost), and a platform that natively supports agentic development so regionally‑embedded product engineers (including forward‑deployed engineers) can move exceptionally fast. You’ll treat platform as an internal product – setting strategy, driving adoption, and partnering closely with engineering and the business to improve delivery speed, uptime, and cost efficiency as we scale.

What will you do

• Platform Strategy & Team Leadership: Build and lead the Platform function (SRE, DevEx, Infrastructure, Security enablement as appropriate). Set a clear roadmap, establish ways of working, hire and grow the team, and manage prioritisation/trade‑offs.
• Developer Experience : Create the default path for engineers to build, test, deploy, and operate services (service templates, CI/CD, environment provisioning, secrets/config, deployment patterns, feature flags). Focus on adoption and measurable improvements in developer productivity.
• Reliability & Operational Excellence: Own or drive (depending on org boundaries) our reliability foundations: observability (metrics/logs/traces), alerting standards, incident response, postmortems, SLO/error budget practices, rollout/rollback patterns, backups/DR, and reducing on‑call toil.
• Infrastructure Foundations: Ensure our cloud and Kubernetes foundations are scalable, secure, and maintainable. Use Infrastructure‑as‑Code and automation (Terraform for GCP, GitOps with ArgoCD, Python/Bash tooling, etc.) to run repeatable, auditable infrastructure.
• ML & Foundation‑Model Infrastructure: Build the platform beneath Partly's foundational models — accelerator (GPU/TPU) provisioning, scheduling and utilisation, training/fine‑tuning orchestration, and scalable, low‑latency model serving. Own the ML deployment lifecycle (model registry, experiment tracking, evaluation/observability) and treat inference economics as a first‑class cost driver, since inference — not training — typically dominates AI infrastructure spend at scale.
• Agentic & Forward‑Deployed Enablement: Make the platform natively support agentic development. Design golden paths that are self‑service and machine‑consumable (discoverable, executable, safe) so AI coding agents and engineers alike can go from generated code to production without the platform team as a bottleneck — with isolated execution environments, guardrails, and observability built in. Ensure regional and forward‑deployed engineers can move at maximum speed on a robust but extensible foundation.
• Security Enablement: Partner with security/compliance to make secure‑by‑default the easiest path (IAM patterns, secrets management, vulnerability management, policy‑as‑code where appropriate, audit evidence automation).
• Cost & Performance Ownership: Establish FinOps‑style visibility and guardrails, track cost drivers, and deliver optimisations that improve unit economics without sacrificing reliability or developer velocity.
• Cross‑Functional Collaboration: Work closely with Product/Engineering leadership and stream‑aligned teams to understand bottlenecks, influence architectural direction, and ensure platform work translates into real outcomes for customers and the business.
• Hands‑on Delivery (especially early): You’ll be technical enough to dive in, review designs, unblock incidents, prototype solutions, and set technical standards, while building a team that doesn’t rely on you as the single point of execution.

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/iAFUX

Your skills

• Platform Leadership: Proven experience leading a platform / infrastructure / SRE function, including roadmap ownership, stakeholder management, and building teams in a fast‑moving environment. You know how to balance reliability, developer productivity, security, and cost.
• SRE & Operations Expertise: Strong grounding in SRE practices (SLOs/error budgets, incident management, observability, capacity planning, resilience engineering) and a track record of improving uptime and reducing operational toil.
• Cloud & Kubernetes Depth: Deep familiarity with running production workloads on a major cloud (GCP preferred) and Kubernetes. You can design scalable infrastructure, debug systems issues, and make pragmatic build vs buy decisions.
• Infrastructure‑as‑Code & Automation: Hands‑on expertise with IaC and GitOps workflows (Terraform, ArgoCD or equivalent) and the software engineering ability to build robust tooling (not just scripts).
• Developer Experience Mindset: You treat platform as a product: you can define “golden paths,” simplify workflows, drive adoption through empathy and excellent docs, and measure impact (e.g., lead time, deploy frequency, MTTR, change failure rate).
• Security‑by‑Default: Practical experience embedding security into platforms and SDLC (IAM, secrets, vulnerability management, supply chain hygiene). Bonus if you’ve helped achieve/maintain compliance (SOC2/ISO).
• Strong Engineering Fundamentals: Solid CS and system engineering fundamentals (concurrency, networking, Linux internals, performance profiling, distributed systems, reliability patterns).
• ML/AI Infrastructure Depth: Familiarity with the AI infrastructure stack — GPU/accelerator compute, training/fine‑tuning orchestration, inference and model serving, MLOps (registries, experiment tracking, evals), and the cost/performance trade‑offs of running models in production. You know where the real bottlenecks and spend live.
• Agentic‑Native Platform Thinking: You design platforms for a world where AI agents are first‑class users, not just humans — machine‑consumable golden paths, safe autonomous execution, and self‑service that scales to far higher workload volume. Bonus if you’ve enabled forward‑deployed / embedded engineers to customise and ship rapidly without sacrificing robustness.
• Communication & Influence: Excellent written/verbal communication. You can align senior stakeholders, explain trade‑offs to non‑specialists, and coach engineers across the org.
• Ownership & Bias for Action: You create clarity in ambiguity, deliver outcomes, and don’t wait to be told what to do. You’re comfortable being accountable for foundational systems.
• Bonus Points:
  • Experience scaling platform practices through rapid growth (multiple teams/services).
  • Familiarity with our stack (GCP, ArgoCD, GitLab CI, Kafka, Postgres).
  • Experience building internal developer platforms, service frameworks, or multi‑tenant platform capabilities.

Benefits

• High trust, low process and no bureaucracy. We hire exceptional people whose judgment we trust. This means we proactively remove any process or rules that slow us down (for example, our expense policy is simply the “red face test”).
• Competitive base salary + equity. We offer competitive salaries and generous equity options for all full‑time employees, ensuring everyone shares in the financial upside when we win.
• Flexible working hours. Choose when to work based on what time you’re most effective (no mandatory or set hours). We combine flexibility with an office‑first approach (in cities where we have critical mass, i.e. London, Christchurch, Auckland).
• Focus Days. Two days per week, with zero meetings, dedicated solely to uninterrupted deep work.
• Take time when you need it. We don’t ask questions or care if people have a negative leave balance. We work extremely hard and trust our team to take the time they need to recharge.
• Offices in Christchurch CBD and on Auckland’s Drake Street. We invest heavily in our offices (standing desks, healthy snacks, quality coffee, drinks on tap) to ensure they’re places people are excited by, where they build relationships and get their best work done.
• Learn from the best. Whether it’s during a “Lunch n Learn” or hearing from a unicorn CEO at a Fireside chat, you’ll have the opportunity to constantly learn from the world’s best.
• Quarterly season openers & annual global offsite. Connect regularly at the nearest centralised location for a week of collaboration, big‑picture planning and team events.
• Team connection. Monthly team lunches, celebrating our wins, happy hours and more!
• Parental leave and flexible return to work. Do what works for you. Primary carers can return with 4‑day weeks (on 100% pay for the first 12 weeks). Secondary carers get 10 days full pay.
• Payroll Giving. We encourage generous giving and donate to the high‑impact charities you support.

Relocation

• If you are relocating from overseas or domestically to Partly HQ, we offer a generous relocation allowance to support your move.