DevSecOps Engineer
AI Summary
A hands-on DevOps and SecOps engineer on Unframe's Security and IT team, owning CI/CD pipelines, infrastructure-as-code, cloud hardening, vulnerability management, and production monitoring for customer on-prem, cloud, and hybrid deployments.
About this role
About Unframe
Unframe is an AI-first startup helping the world’s largest enterprises bring LLM-powered applications to life in days, not months. We combine the speed of a product company with the flexibility of a consultancy, helping customers move from idea to deployed AI systems faster than anyone else in the market.
With over $100M in TCV secured within 12 months, and a $50M Series B led by Highland Europe, Unframe is rapidly scaling globally alongside Fortune 500 customers, backed by Bessemer, Craft, and TLV.
About the role:
A hands-on DevOps and SecOps position as part of Unframe's Security and IT team, owning Security Vulnerabilities handling, Cloud infrastructure maintenance, the CI/CD and deployment automation that ships the platform into customer on-prem, cloud and hybrid environments.
What you’ll do:
- Own and evolve the CI/CD pipelines that ship Blueprint-based solutions into customer on-prem, private cloud and hybrid environments
- Build, maintain and harden the infrastructure-as-code that stands up new customer environments and keeps access, configuration, patching and cost under control across all of them
- Own monitoring, on-call and incident response for production deployments running inside customer networks, taking issues on your slice of the platform through to root cause
- Cut manual steps out of the deployment path without cutting corners on the security and compliance work behind SOC 2, GDPR, HIPAA and the EU AI Act
- Own vulnerability management end to end: triage findings from scanning and posture tools, prioritize by risk, and drive remediation with engineering and IT
- Work directly with backend engineers on release process and environment provisioning as the platform adds new deployment targets
- Apply AI/LLM-based tools to streamline DevSecOps work itself, automating routine ops tasks, speeding up troubleshooting, and cutting toil out of day-to-day infrastructure and deployment work
What we are looking for:
- 3–5 years of hands-on DevOps, SRE or platform engineering experience
- Production experience with container orchestration
- Comfortable writing infrastructure-as-code (Terraform or similar) and building CI/CD pipelines
- Has worked across at least one major cloud (AWS, GCP or Azure); this platform is cloud-agnostic by design
- Has supported production systems that external customers depend on, not only internal tooling
- Experience with vulnerability management and cloud security hardening, using tools such as Wiz, Orca, Google CNAPP or similar
- Reads and writes English comfortably day to day
Why join us?
- Real ownership from day one. Drive decisions, shape ideas and make them work.
- Your fastest learning years. Build alongside founders and VPs in a space that moves weekly.
- You'll have the opportunity to write and build what comes next.
- Be a leading party in the AI revolution
Ready to Build the Future? If this opportunity excites you, apply now!
Skills
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