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Partly is building frontier AI infrastructure for repair, starting with the automotive market. The company has developed Interpreter, a purpose-built AI model trained on 1M+ car models and 1B+ parts that reads repair jobs with 98.8% parts-list accuracy on production work. Founded by ex-Rocket Lab engineers, Partly has raised $50M in Series B funding led by DST Global and operates offices in Austin (HQ), London, Christchurch, and Auckland.
In this Principal Software Engineer role, you will work on mission-critical systems powassing the core SaaS and API platform. You'll be responsible for ensuring features are highly scalable, fault-tolerant, and accurate while providing a great experience to businesses using the Partly platform. You'll help develop and share software best practices with the development team and become an expert in the complex automotive parts domain.
Key responsibilities include:
- Building and maintaining mission-critical systems for the core SaaS and API platform
- Ensuring systems are highly scalable, fault-tolerant, and accurate
- Delivering great experiences to businesses using Partly
- Developing and sharing software best practices across the team
- Becoming a domain expert in the automotive parts industry
The role is based in Auckland with an office-first culture (working from the office every day by default in cities where Partly has an office). The company offers relocation support if you're moving to join, quarterly all-hands "Season Openers" with travel and accommodation covered, and a high-trust flexible environment.
Benefits include: $1,500 annual wellness allowance, 3 months fully paid parental leave for primary caregivers, catered healthy lunches, paid parking or commuting allowance, unlimited annual/sick leave from day one, equity (ESOP) with 4-year vesting and $0.01 strike price, and participation in charitable giving matching (33% top-up for GiveWell charities).
REQUIREMENTS:
- 5+ years of experience developing complex applications
- Firmly grounded computer science and engineering fundamentals (data structures, concurrency, architecture, APIs, testing, design patterns)
- Strong written and verbal communication and collaboration skills
- Strong knowledge of databases and data models (relational and NoSQL)
- Experience building reliable, distributed systems
- Bonus: automotive parts experience
- Bonus: Rust experience
