Deployment Engineer (Infrastructure & DevOps) at Bedrock Data Careers — San Mateo, USA | Base Career

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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 environments, run architecture reviews, troubleshoot live incidents during go-live, and hand off to support.
Improve developer experience by reducing time-from-commit-to-production and removing manual gates wherever it is safe to do so.
Define deployment standards - SLOs, change-management, release runbooks, secrets handling, and rollback policy - and evangelize them internally and externally.

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.
Customer-facing chops - you can sit on a call with a customer's platform team, whiteboard an architecture, and earn their trust as the technical expert in the room.
Strong written communication - runbooks, RFCs, and customer-facing docs are part of the job.

Nice to Have

Experience deploying data, ML, or AI workloads.
Service mesh experience (Istio, Linkerd) and zero-trust networking patterns.
Background in compliance-sensitive environments (SOC 2, HIPAA, FedRAMP).
Open-source contributions to infra / platform tooling.
Experience with policy-as-code (OPA / Conftest).

Deployment Engineer (Infrastructure & DevOps)

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