Senior Platform Engineer, GitLab Orbit
New
G
GitLabSoftware Development
Remote, Canada; Remote, United StatesFull-TimeSenior
Salary139,200 - 235,200 USD per year
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Job Details
- Required Skills
- AWSGCPKubernetesClickhouseRustTerraformHelmDistributed Systems
Requirements
- Experience designing, building, and operating production backend services with strong Rust skills or clear evidence of ability to ramp up in Rust.
- Experience with distributed-system design, including concurrency, failure handling, consistency, messaging, data partitioning, scalability, and multi-tenant isolation.
- Hands-on knowledge of AWS, GCP, or both, including cloud networking, identity management, compute, and object storage.
- Experience deploying and troubleshooting applications on Kubernetes with Helm.
- Experience contributing to repeatable, reviewable infrastructure changes using Terraform or similar infrastructure as code tools.
- Experience improving the reliability, observability, maintainability, and on-call readiness of backend services.
- Ability to diagnose issues across application, data, orchestration, and infrastructure layers.
- Strong system design skills, including making and explaining architectural decisions and aligning trade-offs with product and platform needs.
- Ability to learn and apply new languages as needed, such as Ruby, Go, or TypeScript and Vue.
Responsibilities
- Design, build, and operate GitLab Orbit backend services, primarily in Rust, within a distributed, cloud-native environment.
- Improve the deployment, monitoring, and operations of GitLab Orbit across GitLab.com, Dedicated, and Self-Managed deployments using Kubernetes, Helm, Terraform, and cloud services.
- Automate recurring operational work and build tools that make deployments, upgrades, recovery, capacity management, and service maintenance safer and more efficient.
- Strengthen observability by improving metrics, logs, traces, dashboards, and alerts, and collaborating with site reliability engineering teams.
- Investigate production issues, address underlying causes, and write backend code that handles concurrency, partial failures, and multi-tenant isolation.
- Build and improve the graph query engine, SDLC indexing pipelines, and API/MCP surfaces.
- Design reliable, scalable, and cost-aware data workflows using systems such as Amazon S3, ClickHouse, NATS, and Siphon.
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