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.
- Mentor engineers on deployment patterns, infra-as-code hygiene, and incident response
What We’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.
- 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).
Compensation
Bedrock hires across a range of experience levels for this role. The estimated annual base salary range for this position is $150,000 to $230,000 USD, depending on experience, scope, and leveling determined during the interview process. In addition to base salary, this role may be eligible for equity compensation and benefits.
Why Join Bedrock Data?
- Work on high-impact systems with real ownership.
- Blend backend engineering with infrastructure and DevOps, not siloed work.
- Opportunity to shape how systems are built, deployed, and operated.
- Fast-moving environment with meaningful technical challenges.
- Shape the future of data security.
- Be part of our rocketship journey.