DataDrone builds 0-1 SaaS products and the team that ships them. No bosses, no managers — the playbook manages, the copilot tracks. Every role owns a small, defined space with extreme accountability. The infrastructure has to be as reliable as the product promise.
What You'll Do
You'll own the deployment pipeline, the infrastructure, and the monitoring. When code ships to production, you deployed it. When production stays up at 99.5%+, you're maintaining it. When something breaks, your monitoring caught it before anyone else noticed. Deployments are boring because your pipeline makes them boring.
Daily Rhythm (How You Operate)
- Daily: watch production health — uptime, error rates, alerts. Catch issues before users do.
- Per release: verify QA sign-off, then deploy through the pipeline. No SSH-to-prod shortcuts.
- Weekly: review cost, capacity, and patching status.
- Monthly: test a backup restore and confirm disaster-recovery readiness.
- Always: document infrastructure as you build it — the runbook is part of the work.
Key Responsibilities
- Own and maintain the CI/CD pipeline (build → staging → production)
- Manage cloud infrastructure (compute, database, storage, CDN, DNS, networking)
- Manage SSL/DNS, secrets rotation, security patching
- Track and optimize infrastructure costs
- Maintain backup and disaster recovery readiness
- Own the DevOps Onboarding Playbook
What We're Looking For
- You've managed production infrastructure on a major cloud provider.
- You’ve built and maintained CI/CD pipelines that deploy to production without manual steps.
- You understand networking: VPCs, security groups, load balancers, DNS, SSL.
- You’ve responded to production incidents — diagnosed, fixed, documented, and prevented recurrence.
- You can write infrastructure as code (Terraform, CloudFormation, or equivalent).
- You document your infrastructure. Not "I’ll write it up later" — you document as you build.
Bonus Points For
- Cloud certifications
- Experience with monitoring stacks
- Experience with container orchestration (Docker, ECS, EKS, or similar)
- Experience with cloud cost optimization
- Experience writing runbooks and infrastructure documentation for junior teams
The Mindset We Hire For
- Boring is beautiful. The best deployment is the one nobody notices. Drama-free infrastructure is the goal.
- Pipeline over SSH. If you're SSH-ing into production to fix something, the pipeline failed. Fix the pipeline, not the symptom.
- Monitor everything. If it's not monitored, you don't know it's down. Unmonitored services are invisible failures.
- Backups are tested, not assumed. A backup that's never been restored is a hope, not a plan.
- Document as you build. Infrastructure knowledge in your head is a single point of failure — until the documentation exists.
- QA signs off. Then you deploy. No exceptions. Not for hotfixes. Not for "small changes." The gate exists for a reason.
Success in This Role
- 30 Days — Full infrastructure mapped. Pipeline verified. Monitoring reviewed. Backup health confirmed. DevOps Onboarding Playbook friction points documented.
- 60 Days — Deployments are boring. Monitoring catches issues before users. Runbooks complete. Cost baseline established.
- 90 Days — Disaster recovery tested. Infrastructure optimized. Documentation is handoff-ready. Production is stable and trusted.
Tools You'll Use
Cloud platform (compute, database, storage, CDN, DNS, IAM, secrets), CI/CD, monitoring and error tracking, infrastructure-as-code tooling, Slack, Google Drive, AI copilot.
Why Join Us
You won't fight fires caused by cowboy deployments. You won't SSH into production at midnight because someone pushed untested code. You won't manage infrastructure that nobody documented.
You'll build and maintain a pipeline that makes deployments boring. QA approves, you deploy, monitoring verifies. The product is live. The customers depend on it. Your infrastructure is the foundation everything else runs on.
5 hours of focused work per day. No hero culture. Sustainable, documented, reliable.
Self-Check Before You Apply
- Can you draw your current infrastructure topology from memory — every component, every connection?
- When was the last time you tested a database restore from backup? (If it was more than 3 months ago, that's a gap.)
- Do you deploy through a pipeline — or do you still SSH into production for "quick fixes"?
- Is your infrastructure documented well enough that someone could take over in a week?
- When a deployment fails, is your first instinct to understand WHY — or to retry and hope?
- Can you explain your monitoring setup to a non-technical person and have them understand what's covered?
If three or more are yes, that's you — apply.