Are you excited by the opportunity to become a part of a badass team leading the AI-first data revolution?

Do you thrive on solving hard problems (individually and collectively), yet humble and hungry to learn and grow within a team on your path to greatness?

Do you desire to become a part of a close-knit pack led by SV startup veterans who can accelerate your growth 10X (compared to the corporate trajectory/culture)?

If you’ve answered with 3 resounding "yes", then we want to meet you!

We are looking for a hands-on DevOps Engineer who brings a modern, AI-aware approach to infrastructure. You’ll lead improvements in deployment, scalability, and observability, ensuring we identify and resolve issues before they impact users.

We value engineers who are curious, open-minded, and eager to leverage the latest tools, including AI, to streamline operations. This is a technical leadership role: you’ll mentor by example, set high standards, and help shape a culture of reliability and continuous improvement.

Key Responsibilities

In addition to client-side SDKs and self-hosted components, CEF maintains four stacks that require DevOps:

• Decentralized Data Clusters (DDCs): self-hosted, in-house and community-run nodes based on docker-compose files. Minor challenges: self-healing, observability, discovery. Major challenges: the zero-downtime upgrade protocol
• AI compute layer on top of DDCs (with on-prem version). AI clusters leverage Kubernetes to orchestrate secure data computing services on top of the DDC clusters. instances. Minor challenges: reproducibility, blue/green deployments. Major challenges: private on-prem
• AI services stack (k8s cloud version and on-prem version)
• The $CERE blockchain, which automates these data clusters by providing security and utility to the blockchain validators
• Tools and infra around all of above (SDK packages, static web sites, load balancers, proxies etc.). The aux tools are centralized and rather standard, think of them as EC2- and Hetzner-deployed HAProxy instances, as well as traditional Web apps

Tech Stack Requirements

• Cloud Platforms: Amazon Web Services (AWS), Google Cloud Platform (GCP), Hetzner Cloud, DigitalOcean
• Monitoring & Observability: Prometheus, Loki, Grafana, Tempo, Mimir
• BetterUptime, Splunk On-Call (formerly VictorOps)
• Infrastructure as Code (IaC): Terraform, Terragrunt
• Configuration Management: Ansible
• Databases: PostgreSQL and MySQL
• Containers & Orchestration: Docker and Docker Compose, Kubernetes (k8s)
• Scripting: Python, Bash (any other programming language)
• Networking & Additional Tools: Cloudflare (DNS, CDN, and WAF), Apache Kafka
• Solid knowledge of Linux-based systems (Debian/Ubuntu/CentOS preferred)
• CI/CD: GitHub Actions
• Secrets Management: HashiCorp Vault

Please note:

• As a startup, you can expect longer hours and a fast-paced environment
• If you are seeking a traditional corporate 9-to-5 role, this may not be the right fit

Free career advice written by one of our team members: Read article