Senior Software Development Engineer

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 firms work is distinguished by a unique combination of precision and vision.

Based in New York or Washington D.C. the Senior Software Development Engineer will be responsible for designing architecting building and leading the delivery of enterprise applications and shared platform capabilities across the firm. As part of the firms strategic investment in artificial intelligence this role will develop next-generation applications that enable attorneys and business professionals to work more efficiently uncover insights faster and deliver exceptional client service.

The Senior Software Development Engineer will serve as a technical leader partnering closely with the AI Platform and Data Engineering teams product owners attorneys and business stakeholders to translate complex business needs into scalable software solutions. The role will lead initiatives from rapid prototype through production implementation with a particular focus on AI-enabled products and applications agentic workflows enterprise integrations and modern software engineering practices.

Primary applications and platforms include:

• Microsoft Azure including Azure App Services Azure Functions Azure API Management Azure SQL Cosmos DB and Storage Accounts
• C# .NET Python JavaScript and TypeScript
• React Angular or similar front end technologies
• Large language models retrieval augmented generation and AI enabled applications
• Agent orchestration frameworks including LangGraph and Semantic Kernel
• Model Context Protocol
• Vector and hybrid search technologies
• Docker and Kubernetes
• Terraform and Bicep
• Git based source control and CI/CD platforms
• Data pipeline machine learning and MLOps tooling
• AWS services including SageMaker Glue Athena Lambda ECS and S3

Responsibilities include:

Application Development & Architecture

• Designing developing and maintaining enterprise-grade applications APIs services and shared platform capabilities.
• Developing AI-enabled solutions that integrate the firms proprietary large language models services retrieval capabilities and intelligent agent frameworks into legal and business workflows.
• Leading the technical architecture and end-to-end delivery of complex software initiatives from rapid prototyping and proof of concept through production implementation.
• Defining technical strategies and architecture patterns that balance scalability maintainability security reliability and performance.
• Translating complex legal and business workflows into scalable technical solutions including determining where AI-enabled or agent-assisted solutions can provide meaningful value.
• Automating manual and email-driven processes through data-integrated workflows and intelligent decision support.
• Evaluating emerging technologies and recommending adoption where appropriate.

AI & Agentic Workflow Engineering

• Designing and building agentic workflows that plan invoke tools and execute multi-step legal and business processes.
• Developing tools and Model Context Protocol interfaces that securely connect AI agents with firm systems and data.
• Building orchestration capabilities including state management retries checkpointing human review approvals and safe recovery for long-running workflows.
• Develop deploy and maintain AI-powered applications large language model (LLM) solutions retrieval-augmented generation (RAG) architectures intelligent agents and workflow automation capabilities that support legal and business functions across the firm.
• Establishing evaluation testing monitoring and quality standards for AI-enabled and non-deterministic systems.
• Partnering with AI Platform Engineering to leverage shared model gateway retrieval evaluation and orchestration services.

Full-Stack Data & Integration Engineering

• Developing modern web applications and services using contemporary front-end and back-end technologies.
• Designing reusable application components services APIs microservices and integration patterns.
• Integrating applications with internal platforms document and knowledge management systems search services and other enterprise applications.
• Building and maintaining data pipelines that transform structured and unstructured information for retrieval evaluation machine learning and real-time inference.
• Applying machine learning natural language processing and document-understanding techniques where appropriate.
• Partnering with AI Platform Engineering on MLOps practices including model deployment monitoring drift detection and retraining.

Software Engineering Security & Operations

• Establishing and championing engineering standards and best practices including automated testing CI/CD observability release management and secure development.
• Leading technical design and architecture reviews and providing guidance on implementation approaches.
• Building solutions in accordance with firm security standards data governance policies confidentiality requirements and client obligations.
• Implementing appropriate authentication authorization auditing monitoring and least-privilege access controls.
• Designing appropriate human oversight and safety controls for AI-enabled applications including protections against prompt injection data exfiltration and unintended actions.
• Monitoring and optimizing application performance scalability reliability and user experience.
• Leading production incident investigations root cause analyses and long-term resiliency improvements.

Collaboration & Technical Leadership

• Partnering with attorneys business stakeholders product owners architects and engineers to understand business needs and translate them into technical solutions.
• Leading discovery and design discussions to identify high-value automation and AI opportunities.
• Presenting technical concepts solution approaches business value and associated risks to executive and non-technical stakeholders.
• Mentoring engineers through code reviews technical coaching architecture discussions and design guidance.
• Influencing engineering standards technology roadmaps and software development best practices across teams.
• Building consensus across engineering infrastructure information security and business teams.

Qualifications:

• Experience developing applications within Microsoft Azure environments.
• Hands-on experience with agent frameworks orchestration tooling Model Context Protocol and evaluation frameworks for non-deterministic systems.
• Hands-on experience with a second major cloud platform for example AWS (SageMaker Glue Athena Lambda ECS S3)
• Experience with data engineering machine learning MLOps natural language processing or document-understanding technologies.
• Experience delivering technology in regulated or audited environments including model validation or compliance-driven oversight requirements
• Extensive experience designing and developing web applications APIs microservices and distributed systems.
• Demonstrated experience designing scalable enterprise architectures and leading technical delivery for complex cross-functional initiatives.
• Experience translating ambiguous business requirements into scalable technical solutions and leading initiatives from prototype through production.
• Experience building production software using large language models including retrieval tool or function calling and orchestration of multi-step workflows.
• Strong understanding of software architecture object-oriented design distributed systems application performance and reliability.
• Experience with source control Git workflows automated testing CI/CD pipelines and DevOps practices.
• Demonstrated ability to mentor engineers influence technical direction and establish engineering standards.
• Strong communication skills with demonstrated experience partnering with technical business and executive stakeholders.

Experience:

• Bachelors degree in Computer Science Software Engineering Information Systems or a related technical discipline.
• 10 to 15 years of progressive experience designing developing and leading the delivery of enterprise software applications.
• Strong proficiency in one or more modern programming languages such as C# .NET Python JavaScript or TypeScript.
• Relevant Microsoft Azure software development or cloud certifications are a plus.

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

Compensation & Benefits:

The annual compensation range for this position is $180000 - $230000. 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.

For technical difficulties with our online application please contact us at. Our recruiting support team will respond as soon as possible.

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 . 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.