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About the Role

Gibson Dunn is a leading global law firm. The Platform Engineer will build reusable platforms, tools, and services to improve developer productivity, accelerate delivery, and standardize engineering practices. This role involves writing and shipping code for the firm’s internal developer platform, building self-service tooling, infrastructure-as-code, and automation across CI/CD, cloud, and observability. The platform supports conventional in-house software and AI workloads, requiring the role to extend pipelines and reliability standards to AI, while addressing AI-specific needs.

Responsibilities

Build and maintain self-service tooling, CLIs, libraries, and templates as version-controlled, tested code.
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.
Implement and maintain pipelines-as-code (e.g., GitHub Actions/Azure DevOps YAML) to established patterns.
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, and human-review thresholds.
Author and maintain modular, tested infrastructure-as-code (e.g., Terraform, Helm) to provision and configure cloud and on-prem resources.
Deploy and operate workloads across cloud platforms (AWS/Azure) and Kubernetes using GitOps (Argo CD/Flux).
Follow tagging, cost, and configuration standards when provisioning resources.
Help deploy and operate AI workload infrastructure, including model gateways, retrieval services, orchestration components, and supporting cloud or Kubernetes resources.
Instrument services and implement monitoring, logging, and alerting as code using standard tooling (Prometheus, Grafana, OpenTelemetry).
Participate in the on-call rotation, responding to incidents and helping restore service.
Contribute to blameless post-incident reviews and implement follow-up actions in code.
Instrument AI services for operational visibility, including tracing across prompts, tools, and agent steps, and monitoring latency, cost, token usage, and quality regressions.
Apply platform security controls and remediate vulnerabilities to defined standards, including policy-as-code checks (e.g., OPA/Conftest).
Manage secrets, access, and configuration securely using approved tooling (e.g., Vault).
Apply security and confidentiality controls for AI workloads, including prompt-injection and data-exfiltration defenses, output filtering, and access controls across prompts, retrieval, and agent tool use.
Automate repetitive operational tasks by writing scripts and small services.
Follow engineering standards, version-control workflows, code-review, and testing practices.
Collaborate with platform and development teams and escalate complex issues appropriately.
Create and maintain runbooks, SOPs, and documentation as code alongside the tooling it describes.

Requirements

Proficiency writing production-quality code in Go and Python (plus PowerShell/Bash), using Git, pull requests, code review, and automated testing.
Working proficiency building pipelines-as-code (GitHub Actions, Azure DevOps, GitLab CI, Jenkins).
Experience with infrastructure as code (Terraform, Ansible, Helm) and GitOps concepts.
Hands-on experience with at least one major cloud platform (AWS or Azure) and Kubernetes/Docker.
Familiarity with observability tooling (Grafana, Datadog, Splunk, ELK, OpenTelemetry) and basic SRE practices.
Exposure to test automation, policy-as-code, and platform security practices.
Familiarity with ITIL best practices (incident, change, and problem management) preferred.
Experience with Lean or Agile methodologies preferred.
Relevant certifications (e.g., AWS/Azure Associate, Certified Kubernetes Administrator) preferred.
5+ years of experience in platform, DevOps, infrastructure, or software engineering roles.
Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent experience).
Experience supporting business-critical systems, ideally within professional services, legal, or regulated environments.
Gibson Dunn will consider for employment qualified Applicants with Criminal Histories in a manner consistent with the requirements of local law.

Skills

Go
Python
PowerShell
Bash
Git
GitHub Actions
Azure DevOps
GitLab CI
Jenkins
Terraform
Ansible
Helm
GitOps
Argo CD
Flux
AWS
Azure
Docker
Kubernetes
Prometheus
Grafana
Datadog
Splunk
ELK
OpenTelemetry
HashiCorp Vault
OPA/Conftest
SAST/DAST
CI/CD
Source Control
Test Automation
Infrastructure as Code
Cloud Platforms
Orchestration
AI Inference
Model gateways
Retrieval
Document ingestion
Tool/function calling
Model Context Protocol (MCP)
Agent orchestration
AI Evaluation
LLM-as-judge
Human-in-the-loop review
Regression suites
Red-teaming
Observability
Monitoring
Site Reliability (SRE)
Platform Security
Policy-as-Code
Developer Portal
Self-Service
CLIs
SDKs
APIs

Location

U.S. offices

Work Type

Full-time

Experience Level

5+ years of experience

Education Level

Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent experience)

Salary/Compensations

$140,000 - $180,000

Benefits

Health care
Retirement benefits
Paid days off, including sick time, and vacation time
Parental leave
Basic life insurance
Flexible Spending Accounts
Discretionary, performance-based bonuses

About the Company

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.

Equal Opportunity

Gibson Dunn is committed to ensuring equal employment opportunities for all qualified applicants, including individuals with disabilities.
We strive to ensure an inclusive and accessible hiring experience.
The Firm will provide reasonable accommodations to qualified individuals with disabilities to enable participation in the application and recruitment process, unless doing so would impose an undue hardship, in accordance with applicable laws and regulations.