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About the Role

The Engineering Manager, Platform Engineering leads and grows the team responsible for the firm’s internal developer platform, which improves developer productivity, accelerates delivery, and standardizes engineering practices. This role balances hands-on technical leadership with people management, owning the team’s roadmap, execution, and development.

Responsibilities

• Lead, coach, and develop a team of platform engineers, fostering a high-performing, inclusive, and collaborative engineering culture.
• Own performance management, career development, goal-setting, and retention; provide regular, actionable feedback.
• Balance individual growth with team delivery, removing blockers and supporting engineers’ success.
• Own the Platform Engineering roadmap and delivery, translating firm and engineering strategy into prioritized, well-scoped engineering work.
• Ensure predictable, high-quality delivery through effective planning, execution, and risk management.
• Establish and run the team’s operating rhythm (planning, standups, code review culture, retrospectives, and on-call).
• Review designs and code, guide architecture, and make sound technical trade-offs.
• Shape platform architecture, coding standards, and long-term direction.
• Champion a code-first, everything-as-code culture and measurable developer-experience outcomes.
• Ensure the team extends platform standards to AI systems, including version-controlled prompts, retrieval configurations, evaluations, and release processes alongside application code.
• Hold accountability for platform reliability, SLOs, incident management, and on-call health, and continuous improvement of operational maturity.
• Ensure the platform accounts for AI-specific operational and security realities, including provider outages, graceful degradation across models, non-deterministic failure modes, silent quality regressions after model updates, inference and GPU cost management, prompt-injection and data-exfiltration defenses, output filtering, and confidentiality constraints across prompts, retrieval, and agent tool access.
• Partner with development teams, business stakeholders, and IT leadership to align platform investments with firm needs.
• Manage relationships with strategic vendors, along with budgets, licensing, and SLAs.
• Communicate roadmap, progress, risks, and outcomes clearly to leadership.
• Own hiring, onboarding, and workforce planning to build and scale a strong engineering team.
• Invest in engineers’ technical and professional growth and support mentorship and communities of practice.
• Promote a culture of ownership, learning, reliability, and continuous improvement.

Requirements

• Proven people leadership: hiring, coaching, performance management, and team development.
• Strong delivery-management track record across planning, execution, and risk.
• Solid technical grounding across software engineering (Go/Python), CI/CD, IaC/GitOps, cloud (AWS/Azure), Kubernetes, observability/SRE, platform security, and test automation, sufficient to review code, guide architecture, and make sound trade-offs.
• Excellent stakeholder communication and cross-functional collaboration.
• Familiarity with ITIL best practices (incident, change, and problem management) preferred.
• Experience leading within Lean or Agile organizations (e.g., Scrum, SAFe) preferred.
• Cloud certifications and a prior individual-contributor platform or SRE background preferred.
• Working knowledge of emerging AI governance frameworks (e.g., EU AI Act, NIST AI RMF, ISO/IEC 42001) preferred.

Skills

• Go
• Python
• CI/CD
• IaC/GitOps
• AWS
• Azure
• Kubernetes
• Observability/SRE
• Platform Security
• Test Automation
• GitHub Actions
• Azure DevOps
• GitLab CI
• Jenkins
• Git
• JFrog Artifactory
• Playwright
• pytest/JUnit
• Terraform
• Ansible
• Bicep/ARM
• Helm
• Kustomize
• Argo CD
• Flux
• Docker
• Prometheus
• Grafana
• Datadog
• Splunk
• Elastic/ELK
• OpenTelemetry
• HashiCorp Vault
• OPA/Conftest
• SAST/DAST
• Anthropic
• Azure OpenAI
• Amazon Bedrock

Location

• New York City
• Washington, D.C.

Work Type

• Onsite

Experience Level

• 12+ years of experience in platform, DevOps, SRE, or software engineering
• 4+ years managing and developing engineering teams
• A strong hands-on engineering background (coding, infrastructure as code, and cloud) prior to management

Education Level

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

Salary/Compensations

• $230,000 - $300,000

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 will consider for employment qualified Applicants with Criminal Histories in a manner consistent with the requirements of local law.
• 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.