Startups · AI

Deployment Engineer (Infrastructure & DevOps)

Bedrock Data · San Mateo, CA · On-site

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About Bedrock Data

About Bedrock Data Data is moving faster than security can keep up, fragmented across clouds, SaaS apps, and AI systems, without the context teams need to protect it. Backed by Greylock.

About the role

We’re looking for a backend engineer who is excited to build and operate scalable systems end-to-end. This role blends backend development with infrastructure and DevOps ownership, giving you full lifecycle responsibility for the services you build—from design to production. You’ll work on high-performance distributed systems while also shaping the tooling, infrastructure, and processes that enable reliable and fast delivery.

What they're looking for

  • 6+ years of experience in DevOps, SRE, Platform, or Deployment Engineering roles, with at least 2 years in a senior or lead capacity
  • Deep expertise with at least two major cloud (AWS, GCP, or Azure). Comfortable designing multi-account, multi-region topologies
  • Production-grade Kubernetes experience - Helm, operators, ingress, autoscaling, RBAC, and cluster lifecycle. You have debugged a real outage at 2 a.m. and lived to write the postmortem
  • Strong Terraform background (or equivalent IaC: Pulumi, CloudFormation). You think in modules, state, and drift, and you know when to reach for Ansible vs. Terraform
  • CI/CD fluency across pipeline tooling - GitHub Actions, ArgoCD, Jenkins, or similar - and a track record of shipping safer, faster releases
  • Scripting and automation in Python, Go, or Bash. You write code that other engineers have to read
More about this role

About The Role

We’re looking for a backend engineer who is excited to build and operate scalable systems end-to-end. This role blends backend development with infrastructure and DevOps ownership, giving you full lifecycle responsibility for the services you build—from design to production. You’ll work on high-performance distributed systems while also shaping the tooling, infrastructure, and processes that enable reliable and fast delivery.

What You'll Do

  • Own the deployment lifecycle end-to-end - from build artifact to production - across our multi-tenant SaaS and single-tenant customer deployments.
  • Design and maintain CI/CD pipelines using GitHub Actions, ArgoCD, and Jenkins, with progressive delivery patterns (canary, blue/green, feature flags) and automated rollback.
  • Build and scale Kubernetes platforms - design Helm charts, operators, and cluster topologies that work in our cloud and in customer-managed clusters (EKS, GKE, AKS).
  • Author and harden Terraform modules for AWS, GCP, and Azure - VPC, IAM, secrets, networking, and observability - with a strong bias toward reusable, versioned modules.
  • Lead customer implementations as the senior deployment SME: scope...

Read the full posting on Bedrock Data's site ↗

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