Principal Software Engineer

California

  Software Engineering

0

Contract

Our client, an early-stage, venture-backed AI Startup, is hiring a Principal Software Engineer to join the team remotely on an initial 12-month contract. The successful candidate will work closely with the technical co-founder to strengthen the platform’s architecture, expand engineering capacity and prepare the product for production.

Responsibilities

  • Evaluate the existing codebase, system architecture and key technical decisions.

  • Partner closely with the technical co-founder to prepare the platform for its initial production release.

  • Design, build and maintain reliable backend services using Rust and Java.

  • Develop high-performance proxy, gateway and networking capabilities for managing AI traffic.

  • Enhance the platform’s performance, consistency, scalability and maintainability.

  • Build robust observability, monitoring, logging and cost-management capabilities.

  • Identify and address architectural risks ahead of deployments with design partners.

  • Review, test and refactor AI-assisted code produced using tools such as Claude and Codex.

  • Introduce pragmatic engineering standards across testing, documentation and code quality.

  • Shape the long-term technical architecture as the company progresses from pre-commercial development to customer deployments.

Skillset

  • Significant software engineering experience at Principal, Staff or Senior Staff level.

  • Deep expertise in backend engineering and distributed systems architecture.

  • Hands-on experience building proxies, gateways, networking infrastructure or high-performance data-processing systems.

  • Strong proficiency in at least one systems or backend programming language, ideally Rust or Java.

  • Experience designing, deploying and operating production infrastructure on AWS.

  • A strong understanding of system reliability, scalability, latency and performance optimization.

  • The ability to assess an early-stage codebase and implement pragmatic architectural improvements.

  • Experience working within startups, innovation teams or similarly fast-moving and lightly structured environments.

  • The confidence to work independently while collaborating closely with a technical co-founder.

  • Familiarity with AI infrastructure, model gateways, observability or FinOps is a plus.