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Principal Software Engineer

Alldus · CA, US

Spotted 1d agoContract

Job details

Employment
Contract
Level
Staff / principal
Posted
Nov 10, 2026
Last confirmed open
Nov 10, 2026
Job function
Software/Internet/AI
Job description

About this role

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.
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