Senior Site Reliability Engineer - Anz
About the job
- Develop and maintain large, established software systems beyond simple scripts and utilities, writing robust, maintainable code.
- Have firm computer science fundamentals, including data structures, concurrency, architecture, application programming interfaces, testing, and design patterns.
- Have systems engineering fundamentals, including the ability to use memory or stack sampling profilers, locate excessive lock contention, and identify network issues.
- Have hands-on experience with modern site reliability engineering practices and tooling, such as containerization with Docker or Kubernetes, infrastructure-as-code with Terraform, and GitOps workflows such as ArgoCD or equivalent.
- Have designed, built, and maintained scalable infrastructure and continuous integration and continuous delivery systems.
- Have deep familiarity with at least one major cloud platform and Linux; be able to tune servers, manage databases and storage, and operate Kubernetes clusters.
- Demonstrate ownership of critical systems and successful delivery of complex projects, with initiative and a proactive approach to solving problems.
- Demonstrate leadership through mentoring junior engineers or leading small teams or projects.
- Communicate technical issues to non-technical colleagues and coordinate with engineers on deployments.
- Be willing to adapt to evolving needs and take on new challenges.
- Ensure the stability, scalability, and security of cloud infrastructure and first- and third-party applications running in Kubernetes-powered clusters.
- Use infrastructure-as-code and automation, including Terraform for Google Cloud Platform, GitOps with ArgoCD, and custom Python or Bash scripts, to deploy and manage workloads and resources repeatably.
- Monitor and optimise costs across cloud and on-premises infrastructure, and recommend resource-allocation or architecture changes that improve cost efficiency without sacrificing reliability or performance.
- Work with developers, data engineers, and leadership to plan infrastructure needs and improvements.
- Provide tooling, guidance, and training to the engineering team on site reliability engineering practices.
- Collaborate during software delivery to support smooth integrations from code to production.
- Ensure software meets high production-readiness standards and drive solutions to identified problems or improvement opportunities.
- Participate in incident resolution and help developers debug applications, networks, databases, and compute systems.
- Experience in a high-growth startup environment and comfort with its pace and ambiguity.
- Experience maintaining company security compliance and certifications.
- Experience with Google Cloud Platform, ArgoCD, GitLab CI, or Kafka.
- Significant experience running production workloads over Apache Cassandra and/or PostgreSQL.
- Experience developing software in Rust and mentoring other developers in Rust best practices.
About the company
Partly connects buyers and sellers of automotive parts through a B2B platform that serves as an online marketplace. It builds a global data infrastructure for the automotive parts industry, enabling manufacturers and retailers to organize, manage, and distribute parts data. The company uses data science and algorithms to process and standardize parts information from multiple sources, making it easier to find the right parts. Its platform treats data as the backbone of the ecosystem, supporting parts catalogs, data management, and supply chain transparency. Partly operates in New Zealand, Australia, and Europe with a global team and has attracted significant investor funding, helping it grow into a fast-growing startup in its region. The goal is to simplify the process of locating and acquiring automotive parts by improving data quality, interoperability, and connectivity across the parts ecosystem.
Company Size
51-200
Company Stage
Series B
Total Funding
$86.3M
Headquarters
Christchurch, New Zealand
Founded
2020
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Simplify's Take
What believers are saying
- Partly closed a $50M Series B on June 23, 2026, at $500M.
- Austin headquarters relocation accelerates US hiring across engineering, product, and sales.
- June 2026 launch targets 250,000 US repairers and a $100B collision market.
What critics are saying
- CCC Intelligent Solutions and OEConnection dominate US repair workflows today.
- Partly discloses no revenue, and its 2026 benchmarks remain self-published.
- If OEMs restrict data access, Interpreter loses training fuel and commercialization stalls.
What makes Partly unique
- Interpreter ingests photos, video, voice, and text for precise parts matching.
- Partly trained on five years of repair data across 58 manufacturers.
- OEM agreements and standardized parts data create a proprietary workflow moat.
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Benefits
Flexible Working Hours
Parental Leave
CycleSaver
Quarterly season openers across the UK and EU
Annual global offsite in New Zealand
Payroll Giving
Company News
Partly, a New Zealand-founded automotive AI company, has raised US$50 million in Series B funding led by DST Global Partners, valuing the company at US$500 million. The company has developed Interpreter, a multimodal AI model specifically trained to identify correct replacement parts for damaged vehicles. Unlike general-purpose AI models, Interpreter is built on five years of research using data from millions of vehicles and billions of parts. The company reports estimators using Interpreter achieved 98.8% parts-list accuracy compared with 92.1% using existing tools. The platform accepts text, photographs, video, and voice inputs to determine exact parts needed, accounting for variables such as trim level, production date, and regional differences. Partly is expanding into the United States, with headquarters in Austin, Texas, targeting America's US$100 billion collision-repair market. The company was founded in 2020 by Levi Fawcett, a former Rocket Lab engineer.
Partly has raised $50 million in Series B funding led by DST Global Partners, valuing the automotive software company at $500 million. Existing investor Blackbird Ventures also participated. The funding will support hiring in Australia, where Partly is adding software engineering, machine learning, and data science roles. The recruitment drive is part of an expansion expected to more than double global headcount this year. Founded in 2020, Partly develops an AI model called Interpreter for the automotive repair supply chain. The company has trained the model over five years using original equipment manufacturer catalogue data, repair data, and transaction data from New Zealand, Australia, the UK, and the Nordics. Partly targets a fragmented vehicle repair market where inaccurate parts data and manual procurement processes increase costs and delay repairs.
Partly, an AI automotive startup, has relocated its global headquarters from the United Kingdom to Austin and plans to more than double its workforce over the next two years. The move was funded by a $50 million raise backed by Yuri Milner's DST Global Partners, pushing Partly's valuation to $500 million. Founded in 2020, Partly has built an AI model to automate workflows for vehicle repairs, serving automakers like Toyota and Hyundai. CEO Levi Fawcett cited Austin's talent pool and affordability compared to the Bay Area as key factors in the decision. The company currently employs about 50 people in Austin and expects 200 workers by end of 2027, doubling that number the following year. Partly will move into permanent downtown offices later this year.
Partly Group, a New Zealand startup using AI for automotive parts identification, has raised $50 million at a $500 million valuation and is launching its first US operation in Austin, Texas. Founded in 2020 by former Rocket Lab engineer Levi Fawcett, Partly has developed Interpreter, a foundation model trained specifically on vehicle parts. The multimodal AI reads technical diagrams, damage photos and repair descriptions, mapping them to standardised vehicle assemblies and part names across 91% of vehicles from 58 manufacturers. The company claims body shops using Interpreter process orders nine times faster and reduce returns by a factor of 2.4. The Series B round was led by DST Global Advisors, an early backer of Anthropic, Meta and Airbnb. Partly is targeting the US collision repair market, valued at over $100 billion across roughly 250,000 repairers.
Partly, a New Zealand auto parts software company, has raised $90 million in a Series B round, valuing the startup at $900 million. The funding places the company just short of the $1 billion valuation needed for unicorn status. Co-founder and chief executive Levi Fawcett said the company kept the capital raise confidential whilst gaining market traction.