DevOps Engineer

Sayari is entering a new phase of technical scale, driven by a wave of AI-native applications and a strategic shift in our data architecture. We are looking for a Devops Engineer who is a platform builder at heart. In this role, you will be an architect and engineer for our Kubernetes-first platform. You will initially play a critical role in supporting the infrastructure for our new AI driven product. This is a hands-on, high-autonomy role for an engineer who loves to automate complex problems and use modern AI tools to accelerate the velocity.

• →Architect the K8s Ecosystem: Lead the evolution of our Kubernetes clusters, ensuring they are optimized for the high-compute demands of AI-native applications and LLM workloads. Evolve our CI/CD ecosystem (GitHub Actions, ArgoCD) into a seamless, self-service platform designed specifically for the rapid deployment of microservices and AI-driven apps.
• →Support AI Velocity: Ensure our infrastructure can keep pace with the high-velocity creation of AI tools and applications, managing segmentation, dependency connections, and compute scaling efficiently.
• →AI-Enhanced Engineering: Act as a force multiplier by using modern AI tools to accelerate coding, debugging, and process automation.
• →Automate FinOps Governance: Go beyond monthly reports by implementing "governance-as-code." Write automated policies and scripts that actively manage resource lifecycles, tag compliance, and prevent wasteful cloud spend before it happens.
• →Advance Infrastructure as Code: Manage and scale our IaC (Terraform), with modular, reusable patterns that allow developers to provision what they need within guardrails.

• Deep production experience with GCP or AWS. You understand how to architect for resilience and security in a multi-cloud environment.
• Expert-level proficiency with Terraform. You don't just run plans; you write modular, scalable code from scratch.
• Hands-on experience building CI/CD pipelines with GitHub Actions and managing deployments using tools such as ArgoCD or Flux.
• Strong scripting/coding ability in Bash and Python.
• Proven experience automating cloud cost controls. You understand how to implement cost attribution strategies and automated cleanup policies.
• Experience provisioning and securing Snowflake environments from an infrastructure perspective.
• Experience using AI tools to accelerate coding, debugging, process automation, and documentation.
• Familiarity with Site Reliability Engineering principles, including defining SLIs/SLOs, managing error budgets, and structured incident response.

• Experience with AI/LLM infrastructure or GPU workloads.
• Familiarity with distributed data stores (Apache Cassandra, JanusGraph) or orchestration tools (Cadence).
• Experience with tools such as Terragrunt and Atlantis for advanced IaC workflows.
• Familiarity with tools such as Elastic Cloud or Datadog for monitoring and observability.
• Experience building or managing Internal Developer Portals.