Backend Engineer (Infrastructure & DevOps Focus)

Bedrock Data•San Mateo, CA

21d

About The Position

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.

Requirements

Strong backend engineering experience (Python, Go, Java, or similar).
Experience designing and operating distributed systems at scale.
Hands-on experience with cloud platforms (AWS, GCP, or Azure).
Familiarity with CI/CD systems (GitHub Actions, CircleCI, etc.).
Experience with containers and orchestration (Docker, Kubernetes).
Working knowledge of infrastructure-as-code (Terraform, Cloudformation, Pulumi, etc.).
Understanding of monitoring, alerting, and production operations.
Comfortable owning systems in production and troubleshooting live issues.

Nice To Haves

Experience building internal platforms or developer tooling.
Familiarity with DevOps / SRE best practices in high-growth environments.
Experience with security, compliance, and cloud best practices.
Track record of improving system scalability, reliability, and cost efficiency.

Responsibilities

Design and build scalable backend systems and distributed services powering our core platform.
Own services end-to-end, including development, deployment, monitoring, and reliability in production.
Architect and improve CI/CD pipelines to enable fast, safe, and repeatable releases.
Build and manage cloud infrastructure (AWS/GCP) with infrastructure-as-code (Terraform, Pulumi, etc.).
Implement strong observability practices (metrics, logging, tracing) to ensure system health.
Drive improvements in system reliability, performance, and cost efficiency.
Debug production issues and participate in on-call rotations.
Collaborate closely with product and engineering teams to ship high-quality features quickly.
Contribute to internal tooling and developer experience to improve engineering velocity.
Create robust and scalable services.
Ensure service security and scalability.
Maintain our technology stack, including Golang, Python, Node, AWS infrastructure, Neo4j and more.