or apply directly on 10a Labs's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 30 days 10a Labs's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- Yes 50% of 10a Labs's roles list one
- Ghost-job risk at 10a Labs
- high 14 stale, 0 reposted of 16 open
- Hiring momentum
- 21 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from 10a Labs's own greenhouse board since 2026-08-03. Full hiring picture for 10a Labs.
About this role
As a Software Engineer in Infrastructure & Platform at 10a Labs, you will design and build secure evaluation environments for AI models, focusing on backend services and infrastructure that support complex evaluations. Your role will involve developing systems for provisioning isolated environments, improving evaluation reliability, and collaborating with analysts and experts to translate evaluation ideas into technical solutions. This position requires a strong foundation in backend systems and security, with a hands-on approach to debugging and building scalable solutions.
- benefits
- 4/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 5/5
- pay transparency
- 5/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of 10a Labs as an employer.
What you need
- 3–5+ years of professional software engineering experience, particularly in backend, infrastructure, platform, SRE, or distributed systems engineering
- Strong programming skills in Python and experience building production-quality software
- Experience designing and operating backend services or distributed systems
- Hands-on experience with Docker, Kubernetes, virtual machines, or other container/orchestration technologies
- Experience working with GCP, AWS, or similar cloud infrastructure
- Strong understanding of Linux systems, networking, authentication, permissions, and infrastructure security
Nice to have
- Experience building developer platforms, CI/CD systems, test infrastructure, sandboxes, or ephemeral compute environments
- Experience with agent frameworks, LLM APIs, tool-calling systems, or AI evaluation infrastructure
- Experience designing secure execution environments for untrusted or semi-trusted code
- Background in SRE, platform engineering, cloud infrastructure, cybersecurity, or developer tooling
- Experience with distributed task execution, queues, workflow orchestration, or large-scale automated testing
What you get
- Salary Range: $110K–$160K, depending on experience and location
- Bonus: Performance-based annual bonus
- Professional Development: Support for conferences, continuing education, or leadership training
- Work Environment: Fully remote, U.S.-based
- Health Benefits: Comprehensive health, dental, and vision coverage
- Time Off: Generous PTO and paid holiday schedule
Worth weighing
- The role involves complex distributed systems, which may require strong debugging skills and adaptability to evolving architecture and requirements.
- The position is fully remote but U.S.-based, which may limit international candidates.
- While prior professional AI experience is helpful, it is not required, which could be a consideration for candidates with varying backgrounds in AI.
- The salary range is specified, but it may vary significantly based on experience and location, so candidates should consider their negotiation position.
Summarised from 10a Labs's posting. Read the full original.
Listed by 10a Labs on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.