Jobs / United States / Gibson Dunn & Crutcher Llp
Platform Engineer - US
Gibson Dunn & Crutcher Llp · 🇺🇸 Washington, D.C.
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 37 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 2 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Gibson Dunn & Crutcher Llp
The US Department of Labor certified 37 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 2 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Gibson Dunn & Crutcher Llp →
About the role
Gibson Dunn is a leading global law firm, advising clients on significant transactions and disputes. Our exceptional teams craft and deploy creative legal strategies that are meticulously tailored to every matter, however complex or high-stakes. The firm’s work is distinguished by a unique combination of precision and vision. Based in Washington, D.C., the Platform Engineer will be responsible for building the reusable platforms, tools, and services that improve developer productivity, accelerate delivery, and standardize engineering practices across the firm. The role writes and ships the code behind the firm’s internal developer platform, building and maintaining self-service tooling, infrastructure-as-code modules, pipeline definitions, and automation across CI/CD, cloud, and observability, and participating in the team’s operational and on-call duties. Working under the guidance of senior engineers, this role delivers reliable, well-tested code and self-service capabilities for development teams while growing toward end-to-end ownership. The platform supports conventional in-house software alongside AI workloads such as model inference, retrieval, and agent-based systems, all on a shared foundation. This role helps extend the same pipelines and reliability standards to AI workloads, while recognizing where AI demands different primitives such as evaluations, non-deterministic failure handling, token economics, and confidentiality controls. Primary applications and platforms include: • CI/CD, Source Control & Test Automation: GitHub Actions, Azure DevOps, GitLab CI, Jenkins; Git, JFrog Artifactory; Playwright, pytest/JUnit • Infrastructure & Config as Code: Terraform, Ansible, Bicep/ARM, Helm, Kustomize; GitOps via Argo CD and Flux • Cloud & Orchestration: AWS, Azure, Docker, Kubernetes • AI Inference & Application Infrastructure: Frontier and open-weight models via Anthropic, Azure OpenAI, and Amazon Bedrock; model gateways and routing, retrieval and hybrid search, document ingestion, tool/function calling, Model Context Protocol (MCP), and agent orchestration • AI Evaluation & Quality: Eval harnesses and golden datasets, LLM-as-judge and human-in-the-loop review, regression suites, and red-teaming • Observability & Monitoring: Prometheus, Grafana, Datadog, Splunk, Elastic/ELK, OpenTelemetry, including GenAI tracing and token, latency, and cost telemetry • Platform Security & Policy-as-Code: HashiCorp Vault, OPA/Conftest, SAST/DAST • Developer Portal & Self-Service: Internal developer portal, CLIs/SDKs, and APIs Responsibilities include: Developer Experience & Self-Service Enablement • Build and maintain self-service tooling, CLIs, libraries, and templates, as version-controlled, tested code, that make it easy for teams to build, test, and ship software. • Contribute features and fixes to the internal developer platform and portal through pull requests and code review. • Provide day-to-day support to developers using platform services, triaging and resolving requests and issues. • Support governed self-service access to AI platform capabilities, including model access, retrieval tooling, and evaluation workflows, so AI capabilities can move from prototype to production using standard platform patterns. CI/CD, Release Management & Test Automation • Implement and maintain pipelines-as-code (e.g., GitHub Actions/Azure DevOps YAML) to established patterns, keeping builds, tests, and deployments reliable and fast. • Execute and support release activities, following defined GitOps and change-management processes. • Write and maintain automated tests and quality gates within pipelines. • Implement evaluation-based quality gates for AI systems, including evals-as-code, regression suites against golden datasets, a