DevOps / Infrastructure Engineer
MLabs
Job description
About the role
We are seeking a production‑proven DevOps and Infrastructure Engineer to own the deployment, secure networking, and reliability of a highly distributed fleet of AI trading agents. The role is fully remote and focuses on building scalable, cost‑effective infrastructure on Railway and AWS.
Key responsibilities
- Architect, provision, and scale a hybrid Railway/AWS fleet ensuring isolated, secure containerized processes for each user.
- Design, implement, and harden private overlay networks with Tailscale, linking agents to core Model Context Protocol servers.
- Create a zero‑touch deployment pipeline using IaC and CI/CD best practices for automated provisioning, secret management, and environment configuration.
- Develop monitoring, telemetry, alerting, and automated incident response to preserve transaction state during host restarts, key rotations, or cloud outages.
- Participate in on‑call rotations and real‑time incident management to maintain continuous operational continuity.
Required profile
- Professional experience deploying, monitoring, and scaling complex architectures on Railway or equivalent PaaS platforms (Fly.io, Render, Northflank).
- Deep expertise with AWS services including VPC, IAM, Secrets Manager, ECS, and Lambda.
- Proven ability to implement Tailscale in high‑security production environments, configuring ACLs and subnet routing.
- Strong background in Docker containerization, CI/CD pipelines, and modern Infrastructure‑as‑Code practices.
Required skills
- Railway (or similar) container orchestration
- AWS (VPC, IAM, Secrets Manager, ECS, Lambda)
- Tailscale networking
- Docker
- CI/CD (GitHub Actions, GitLab CI, etc.)
- Infrastructure‑as‑Code (Terraform, CloudFormation, Pulumi)
- Monitoring and alerting tools (Prometheus, Grafana, CloudWatch)
What we offer
- Competitive salary range $100K‑$130K USD per year
- Fully remote work in EST timezone
- Opportunity to shape cutting‑edge AI‑driven financial infrastructure
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