DevOps (AWS / Kubernetes / Terraform)

 

Muttdata is a dynamic startup committed to crafting innovative systems using cutting-edge Big Data and Machine Learning technologies.

 

We are looking for a hands-on DevOps to join a strategic initiative focused on deploying and operating Data & AI platforms.

This role is centered around infrastructure automation, platform reliability, Kubernetes operations, and production-grade cloud infrastructure on AWS. The person will work closely with Infrastructure and Enterprise Architecture teams, operating within established corporate security, networking, and compliance standards.🐶🚀

 

🔍 Curious about what we’re up to? Check out our case studies and dive into our blog post to learn more about our culture and the exciting projects we’re working on! 🚀

Infrastructure as Code on AWS

• Deploy and maintain infrastructure using Terraform on AWS.
• Work within the organization’s corporate golden path leveraging HCP (HashiCorp Cloud Platform) and HashiCorp Vault.
• Ensure infrastructure complies with enterprise security, networking, and governance standards.
• Collaborate with Infrastructure and Enterprise Architecture teams on platform requirements and integrations.

Administration & Operations of Data & AI Platforms

• Operate and govern production-grade platforms running on Kubernetes / EKS.
• Manage platforms such as Langfuse, LiteLLM, ClickHouse, Redis, and future Data & AI tooling.
• Design and maintain:
  • Backup & restore strategies
  • High Availability (HA) configurations
  • Shared cache and distributed rate limiting mechanisms
  • Horizontal and vertical scaling strategies
  • Platform upgrades and dependency management
  • Integrate secrets and credentials management through Vault.
  • Troubleshoot production incidents and improve operational recovery processes.
  • Read and understand platform documentation to ensure optimal deployment and operation on Kubernetes environments.

  DevOps / SRE Automation

  • Build and maintain CI/CD pipelines using GitHub Actions.
  • Automate operational workflows and deployment processes.
  • Improve observability, monitoring, and operational reliability.
  • Create operational runbooks and reduce manual toil through automation.
  • Continuously improve platform stability, scalability, and developer experience.

Must-have

• Strong Terraform experience (production-level, not tutorial-based)
• Solid AWS infrastructure experience
• Kubernetes / EKS administration and operations
• Containers and cloud-native infrastructure
• SRE mindset and operational judgment
• Ability to understand systems under the hood, not only operate tooling

Nice-to-have

• Python for automation
• Database administration experience
• ClickHouse
• Redis
• LiteLLM
• Langfuse
• Observability tools such as Prometheus, Grafana, or equivalent