DevOps Engineer
First seen by Alion on Oct 3, 2026.
This is a remote position.
About the role :
A well-funded, seed-stage industrial-AI company is looking for an experienced, hands-on DevOps engineer who has already built and managed infrastructure in an early-stage startup or taken a system from zero.
You will own the cloud infrastructure and set the standards for security, monitoring and incident response.
You will also work as a core partner on the infrastructure that serves the company's main ML/AI models.
We need a versatile generalist who can work independently with little oversight and take on a wide range of responsibilities.
What you will own :
- Infrastructure : Design, deploy and run scalable, highly available infrastructure across multiple cloud environments using Infrastructure as Code (for example Terraform or CloudFormation).
- CI/CD : Build, run and improve the CI/CD pipelines used across the whole company.
- Observability : Set up and operate monitoring, logging and alerting (for example Prometheus, Grafana or the ELK stack) so services stay healthy and perform well.
- Security : Define and enforce security practice across infrastructure and applications, covering secrets management, network segmentation and vulnerability patching.
- Cloud cost : Look for savings in cloud spend on your own initiative and put them in place without hurting performance or reliability.
- Engineering support : Work alongside engineers to make development workflows smoother, resolve production issues and support their infrastructure needs.
What we are looking for :
- At least 5 years as a DevOps engineer, Site Reliability Engineer (SRE) or in a comparable role.
- Proven experience in a seed-stage startup or a ground-up build, and an understanding of what that means: limited resources, quick changes of direction and a hands-on, do-everything approach.
- Solid working knowledge of Docker and Kubernetes (EKS, GKE or AKS).
- Expert-level skill with Terraform or a comparable Infrastructure as Code tool.
- Experience building and maintaining CI/CD pipelines (for example GitLab CI, GitHub Actions or Jenkins).
- Hands-on database administration experience (for example PostgreSQL, MongoDB or Redis).
Nice to have :
- MLOps experience, including production serving infrastructure for machine learning models.
- Security certifications, or deep experience with cloud security frameworks.
- Experience with on-prem deployments and observability.
- Experience building and deploying ML models on real-time time-series data, such as sensor or IoT streams.
To apply :
Send your resume and a short example of infrastructure you built or ran yourself, with your role and the outcome.
Skills
DevOps, IAC Terraform, CloudFormation, IT Infrastructure, CI/CD Pipeline, Observability Services, ELK Stack, Prometheus, Cloud Cost Optimization, Docker, Kubernetes