Engineering Manager, Platform Engineering

Gibson Dunn; New York (NY); On-site; USD 230,000 - 300,000; Full time

Benefits offered by this job

Health care

Retirement benefits

Paid time off

Parental leave

Basic life insurance

Flexible Spending Accounts

Discretionary bonuses

Job summary

Gibson Dunn located in New York City or Washington, D.C. seeks an Engineering Manager, Platform Engineering to lead the internal developer platform, driving productivity, reliability, and security across the firm’s engineering teams.

You will own the team roadmap, deliver across CI/CD, IaC, cloud, and AI-related infrastructure, while developing engineers and maintaining an effective operating rhythm. The role combines hands-on leadership with strategic oversight in a global professional services

Qualifications

• Proven people leadership: hiring, coaching, performance management, and team development.
• Strong delivery-management track record across planning, execution, and risk.
• Solid technical grounding across 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.

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 robust pipelines-as-code, release-management, and test-automation practices that enable safe, frequent delivery.
• Ensure platform security and compliance obligations are met, partnering with security and governance teams.
• 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.

Skills

People leadership

Delivery management

Stakeholder communication

ITIL familiarity

Lean/Agile experience

AI governance knowledge

Education

Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field

Tools

Go

Python

CI/CD

IaC/GitOps

AWS

Azure

Kubernetes

Observability/SRE

Platform security

Test automation

Job description

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 New York City or Washington, D.C., the Engineering Manager, Platform Engineering leads and grows the team responsible for the firm’s internal developer platform: the reusable platforms, tools, and services that improve developer productivity, accelerate delivery, and standardize engineering practices across the firm. This role is accountable for the team’s people, delivery, reliability, and security outcomes, balancing hands‑on technical leadership with the management of engineers. The Engineering Manager owns the team’s roadmap and execution, develops engineers, sets the operating rhythm for delivery, release management, and on‑call, and partners with engineering and business leaders to ensure the platform meets the firm’s needs.

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

Team Leadership & People Management

• 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.

Delivery & Roadmap Ownership

• 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).

Technical Leadership & Engineering Standards

• 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.

Reliability, Security & Operational Excellence

• Hold accountability for platform reliability, SLOs, incident management, and on‑call health, and continuous improvement of operational maturity.
• Ensure robust pipelines‑as‑code, release‑management, and test‑automation practices that enable safe, frequent delivery.
• Ensure platform security and compliance obligations are met, partnering with security and governance teams.
• 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.

Stakeholder & Vendor Management

• 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.

Talent, Hiring & Culture

• 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.

Qualifications

• 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.

Experience

• 12+ years of experience in platform, DevOps, SRE, or software engineering, including 4+ years managing and developing engineering teams.
• A strong hands‑on engineering background (coding, infrastructure as code, and cloud) prior to management.
• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent experience); advanced degree a plus.
• Experience delivering internal developer platforms or cloud/DevOps capabilities in a global professional services, legal, or regulated environment.

Compensation & Benefits

The annual compensation range for this position is $230,000 - $300,000. The salary offered within this range will depend upon qualifications and other operational considerations.

Benefits offered for this position include health care; retirement benefits; paid days off, including sick time, and vacation time; parental leave; basic life insurance; Flexible Spending Accounts; as well as discretionary, performance‑based bonuses.

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.

If you require a reasonable accommodation to complete an application, participate in an interview, or otherwise take part in the recruitment process, please contact us at [e-mail].

Please note, this is a dedicated email inbox established exclusively to assist applicants with accommodation request related to the recruitment process. Inquiries about the status of an application or other non‑accommodation matter will not receive a response.