Full-Stack Platform Engineer for ML Ops & Infra

Hyades; Auckland; Hybrid; NZD 120,000 - 180,000; Full time

Job summary

Hyades is seeking a Software Engineer to build the BlazerOps platform from the ground up, owning hard infrastructure challenges and delivering a durable product for ML teams. You will work across the full stack, from Python SDKs to orchestration layers, to web interfaces, ensuring reliability and a great user experience.

You will collaborate with the research team to translate experiments into production features and contribute to documentation.

Qualifications

• Solid experience with Python and at least one compiled language (Go, Rust, or C++).
• Strong understanding of distributed systems, TFQ: task queues, state management, fault tolerance in production environments.
• Experience building and operating services on cloud infrastructure (AWS or GCP).
• Familiarity with ML workflow tooling: experiment tracking, data versioning, or pipeline orchestration.

Responsibilities

• Build and maintain the core BlazerOps platform: pipeline orchestration, experiment tracking, and storage layer.
• Design APIs and data models that are clear and easily extended as the platform grows.
• Architect and implement services that coordinate automated experimentation across distributed compute environments.
• Ensure platform reliability, observability, and performance at scale.
• Maintain and extend the Python SDK that connects ML practitioners to the BlazerOps platform.
• Build CLI tooling for complex platform operations.
• Collaborate with research to translate capabilities into production features.
• Contribute to technical documentation for design partners.

Skills

Python

Go

Rust

C++

Tools

AWS

GCP

Job description

Hyades is seeking a Software Engineer to build the BlazerOps platform from the ground up, owning hard infrastructure challenges and delivering a durable product for ML teams. You will work across the full stack, from Python SDKs to orchestration layers, to web interfaces, ensuring reliability and a great user experience.

You will collaborate with the research team to translate experiments into production features and contribute to documentation.