Principal Software Engineer
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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