Job Openings
Senior DevOps Engineer
About the job Senior DevOps Engineer
Senior DevOps Engineer (AWS & Kubernetes Superstar)
Were looking for an exceptional DevOps engineerthe kind of professional who doesnt just use AWS and Kubernetes but masters them. If youre a technical superstar with 5+ years of hands-on experience, confident in your ability to communicate with clients, lead initiatives, and bring charisma to a virtual room, keep reading.
What Were Looking For
- 5+ years of experience with AWS and Kubernetes (deep, production-grade expertisenot just familiarity)
- You see yourself as a go-to expert, someone others look to for complex solutions and guidance
- Fluent English (spoken and written)you can easily hold strategic conversations with clients and articulate complex ideas clearly
- A natural communicator: confident, client-facing, and able to "sell" your ideas and presence in meetings
- Independent and proactiveyou dont wait to be told what to do; you identify needs, solve problems, and drive initiatives
- Based in Latin America and bilingual (Spanish/Portuguese + English)
What Youll Be Doing
Youll work as a client-facing DevOps consultant in a boutique cloud consultancy with a 50+ strong remote team. No micromanagement, no time-tracking. Just trust, ownership, and interesting problems to solve.
Youll help our clients:
- Migrate from manual cloud setups to Infrastructure-as-Code using Terraform, Terragrunt, CloudFormation, or Crossplane
- Containerize applications and build robust Docker workflows in CI/CD pipelines (GitHub Actions, GitLab, CircleCI, Jenkins)
- Deploy and configure production-grade Kubernetes clusters across AWS and GCPincluding add-ons like Karpenter, ingress controllers, etc.
- Manage day-two operations: Helm charts, GitOps via ArgoCD/Flux, cost optimization (Spot instances, Graviton), support SRE & observability stacks
- Enhance DevSecOps: Integrate tools like CloudTrail, GuardDuty, SecurityHub, Snyk, Wiz, etc.
- Collaborate with AI teams to optimize LLM/GenAI workloads, GPU usage, and manage ML pipelines
Why Join Us?
- We value long-term relationships, not short-term gigs
- Work with modern cloud-native stacks, including GenAI and LLM-Ops
- A high-trust, low-friction remote environmentno clock-watching
- A chance to grow with a team thats been deep in Kubernetes and DevOps since the beginning