Deployment Engineer (Infrastructure & DevOps)

Bedrock Data is a company focused on enhancing data security through innovative solutions. They are seeking a Deployment Engineer who will be responsible for the end-to-end deployment lifecycle, including building and maintaining scalable systems and CI/CD pipelines.

Responsibilities:

• 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

Requirements:

• 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)