Senior AI Platform Developer building scalable AI services and LLM workflows for MaintainX’s industrial work execution platform. Improving reliability, observability, performance, and cost efficiency.
About the role
- Senior Platform Engineer building and operating GitLab Orbit, a Rust-based knowledge graph service for GitLab’s DevSecOps platform. Improving distributed-system reliability, observability, cloud infrastructure, and data workflows.
Responsibilities
- Design, build, and operate GitLab Orbit backend services, primarily in Rust, within a distributed, cloud-native environment
- Improve deployment, monitoring, and operations across GitLab.com, Dedicated, and Self-Managed deployments using Kubernetes, Helm, Terraform, and AWS or GCP
- Automate operational work and build tools for safer deployments, upgrades, recovery, capacity management, and service maintenance
- Strengthen observability through metrics, logs, traces, dashboards, alerts, and service-level indicators
- Collaborate with SRE teams on incident response, on-call readiness, runbooks, and troubleshooting workflows
- Investigate production issues and address underlying causes involving concurrency, partial failures, retries, consistency, idempotency, performance, and multi-tenant isolation
- Build and improve the graph query engine, SDLC and code indexing pipelines, cloud storage integrations, API, and MCP surfaces
- Design reliable, scalable, and cost-aware data workflows using S3, ClickHouse, NATS, and Siphon
- Own changes from technical design through rollout and iteration, documenting constraints and trade-offs
- Collaborate asynchronously with product, data, infrastructure, security, delivery, AI, and SRE teams
Requirements
- Experience designing, building, and operating production backend services with strong Rust skills or clear evidence of ability to ramp up in a Rust-first, performance-sensitive codebase
- 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 and access management, compute, storage, and object storage such as Amazon S3
- 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 reliability, observability, maintainability, and on-call readiness of backend services
- Experience diagnosing issues across application, data, orchestration, and infrastructure layers
- Strong system design skills, including architectural decisions, documenting constraints, and aligning trade-offs
- Ability to work autonomously in ambiguous environments by identifying problems, driving solutions, and taking ownership
- Ability to learn and apply new languages, tools, and frameworks such as Ruby, Go, or TypeScript and Vue
- Excellent written communication and asynchronous collaboration skills
- GitLab expects all team members to incorporate AI into their daily workflows
Benefits
- Benefits to support your health, finances, and well-being
- Flexible Paid Time Off
- Team Member Resource Groups
- Equity Compensation & Employee Stock Purchase Plan
- Growth and Development Fund
- Parental Leave
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