DevOps/Security Lead with LLM experience

We’re looking for a DevOps & Security Lead to join a US-based AI startup and take full ownership of infrastructure and compliance as they scale to Fortune 5000 clients.

If you’re confident with Terraform, EKS, and security audits — and enjoy building things the right way from the ground up — let’s talk.

 

Your responsibilities will include:

Phase 1: (first ~2 months)
🔒 SOC 2 Vanguard

  • Leading the SOC 2 Type I & II compliance process via Vanta (policies, evidence, audit handling);
  • Hardening AWS infrastructure (IAM, CI/CD, Terraform, GitHub Actions);
  • Introducing rollback mechanisms, stabilizing pipelines and improving reliability;
  • Designing secure, repeatable blueprints for private cloud (single-tenant VPCs).

 

Ongoing work:

  • Owning the Kubernetes infrastructure (EKS) and PostgreSQL/pgvector clusters;
  • Managing observability (stack of your choice — we’re flexible), global CDNs, backups;
  • Running threat models, incident simulations, key rotation and vuln scans;
  • Automating on-demand secure VPC deployments;
  • Monitoring cloud costs and optimizing performance across all layers.

 

What we expect from you:

  • 4–7+ years of experience with DevOps in production (cloud infra, CI/CD, security);
  • Strong hands-on experience with AWS: EKS, VPC, RDS/PostgreSQL, S3, KMS;
  • Deep experience with Terraform, GitHub Actions, and CI/CD systems;
  • Python scripting for automation and internal tooling;
  • Security mindset: understanding SOC 2, secure infrastructure practices, zero trust;
  • Upper-Intermediate+ English — you'll work closely with founders and auditors;
  • Comfortable working remotely with 2–4 hours overlap with PST.

 

It would be great if you also have:

  • Previous experience leading SOC 2 Type I or II compliance (especially via Vanta);
  • Experience designing infrastructure for enterprise AI or data platforms;
  • Knowledge of cost optimization strategies and AWS savings plans;
  • Familiarity with Kubernetes monitoring, alerting, and backup strategies;
  • Good understanding of single-tenant SaaS or regulated client environments.

 

Project & Team Overview:

  • Product: AI-powered platform that extracts structured data from enterprise documents;
  • Stack: microservices, vector DBs, LLM pipelines, and scalable data workflows;
  • Clients: US-based, enterprise-grade, data-sensitive — Fortune 5000;
  • Team: cross-functional engineers, CTO, AI specialists — lean and highly skilled;
  • Process: no red tape, fast feedback, full ownership over your area.

 

We offer:

  • Full ownership of infrastructure and security — no legacy mess;
  • Remote-first team with flexible hours and async collaboration;
  • Long-term engagement with option for full-time hire;
  • Competitive compensation + equity;
  • Opportunity to work directly with founders and influence the roadmap;
  • Real technical challenges — not just DevOps-as-usual.
Published 3 July
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