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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Development Engineer - **Company:** Gibson Dunn - **Location:** Washington, DC, United States - **Experience:** Expert - **Salary:** $230,000 - $300,000 - **Contract:** Permanent contract - **Skills:** AI Evaluation, Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Automation of Tests, Microsoft Azure, Cloud Computing, Code Review, Continuous Integration, DevOps, Fault Tolerance, Github, Monitoring of Systems, IT Management, Junit, Python (Programming Language), Routing, Octopus Deploy, Scrum Methodology, Reliability Engineering, OpenAI, Ansible, Prometheus, Software Engineering, Datadog, Policy as Code, Cloud Platform System, Large Language Models, Grafana, Git, Pytest, Gitlab-ci, Kubernetes, Information Technology, Amazon Bedrock, Low Latency, Playwright, Bicep, Hashicorp, Invoking Functions, Model Context Protocol, Model Inference, Terraform, Splunk, Software Version Control, Docker, Jenkins, Static Application Security Testing, Artifactory, Dynamic Application Security Testing - **Published:** November 7, 2026 - **Apply:** https://www.juju.com/job/28_25304_43166b2115912e659e96caf732f1cd8d ## About the Role * 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., * 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. ## Description * 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, 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., * 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., 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 recruiting-accommodations@gibsondunn.com. 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. #J-18808-Ljbffr