DevOps Engineer for AI Startups & SaaS
CI/CD, AWS, Docker, Kubernetes — infrastructure that ships and scales.
I build the infrastructure that lets your team ship confidently. 7+ years of DevOps experience — setting up CI/CD from scratch, migrating manual deployments to automated pipelines, reducing AWS costs, and building systems that don't page you at 3am. I've reduced AWS costs by 25% and cut deployment errors by 40% on production AI platforms.
What you get
What I Deliver
CI/CD pipelines
GitHub Actions, automated testing, build, and deploy — push to main, it ships. No more manual deployments or SSH sessions.
Docker & containerization
Multi-stage Dockerfiles, docker-compose for local dev, optimized images for production. Your app runs the same everywhere.
Kubernetes setup & management
EKS or self-managed clusters, Helm charts, autoscaling, rolling deployments, namespace isolation.
AWS infrastructure
EC2, RDS, S3, Lambda, VPC, ALB, IAM — provisioned with Terraform. Secure, cost-optimized, and documented.
Monitoring & alerting
Prometheus + Grafana or Datadog. You know about problems before your users do.
Cloud cost optimization
Right-sizing, reserved instances, spot fleets, S3 lifecycle policies. I've cut AWS bills by 25% on production AI workloads.
Is this right for you?
Who I Work With
- AI startups whose infra was set up fast and needs to be done properly
- SaaS companies that have outgrown manual deployments
- Teams spending too much on AWS without understanding why
- Founders who want infrastructure set up once, correctly, and documented
- Engineering teams adding a new service and needing it wired into their pipeline
Tech Stack
Real-world result
Seen in Production
Bookt.dk — Danish Salon Booking Platform
Stabilized a production system with reliability issues — resolved performance bottlenecks, implemented Redis caching, rebuilt CI/CD pipelines, and set up monitoring. Result: zero planned downtime and faster deployments across the board.
Read the full case studyCommon Questions
How quickly can you set up a CI/CD pipeline?
A standard GitHub Actions pipeline with build, test, and deploy stages is typically done in 1–3 days. More complex setups with multi-environment promotion, rollback strategies, and canary deployments take 1–2 weeks.
Can you reduce our AWS bill?
Usually yes. I start with a cost audit — identifying over-provisioned instances, idle resources, expensive data transfer patterns, and missing lifecycle policies. On a recent AI platform I reduced monthly AWS costs by ~25% through right-sizing and architecture changes.
Do you use Terraform or CloudFormation?
Terraform for most projects — it's cloud-agnostic, has better state management, and the ecosystem is more mature. I use CloudFormation only when a client has an existing investment in it.
Can you set up Kubernetes from scratch?
Yes — EKS on AWS, GKE on Google Cloud, or self-managed. I handle cluster setup, Helm chart authoring, namespace policies, ingress controllers, autoscaling, and secrets management. I'll also document everything so your team can operate it.
Do you provide on-call or retainer support after setup?
Yes. I offer post-launch monitoring and retainer support. Most clients take a retainer for the first 1–2 months to stabilize the new infrastructure before handing it off to their team.
Ready to get started?
I take 1–2 clients at a time to ensure quality. Get in touch and let's talk about your project.
Contact Me