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# Deployment Engineer (Infrastructure & DevOps)

- **Company:** Bedrock Data, Inc.
- **Location:** San Mateo, CA, United States
- **Experience:** Experienced
- **Salary:** $150,000.0 - $230,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Bash Shell, Software as a Service, Continuous Integration, DevOps, Distributed Systems, Github, Identity and Access Management, Python (Programming Language), Octopus Deploy, Systems Development Life Cycle, Role-Based Access Control, Ansible, Zero Trust Network Access, Policy as Code, Pulumi, Google Cloud, Autoscaling, Istio, Kubernetes Helm Charts, Amazon Virtual Private Cloud (VPC), Backend, Cloudformation, Kubernetes, Free and Open-Source Software, Linkerd (Service Mesh), Terraform, Jenkins
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/deployment-engineer-infrastructure-devops-san-mateo-ca--c71d9736-9c6c-4ade-82b1-01dd17f38002

## About the Role

DevOps, DevOps, Distributed Computing, Machine Tool, System Operations, Scalable System Development, Software as a Service (SaaS), GitHub, Jenkins, Continuous Integration, * 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., * 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).

## Description

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.
 * Mentor engineers on deployment patterns, infra-as-code hygiene, and incident response