Lead Software Engineer

Lead Software Engineer

Salary: Open + Bonus

Location: Chicago, IL

Hybrid: 3 days onsite, 2 days remote

*We are unable to provide sponsorship for this role*

Qualifications

·        A minimum of 8 years of professional software engineering experience

·        .NET (C#)

·        React (or Next.js)

·        Microsoft Azure
Azure App Service
Azure Container Apps/AKS
Azure SQL
Azure Service Bus
Azure OpenAI Service

·        Must have built production applications in Azure from the ground up.

·        System design and cloud architecture.

·        REST/GraphQL APIs.

·        Microservices and distributed applications.

·        SQL Server, PostgreSQL, Cosmos DB, or similar.

·        CI/CD (Azure DevOps or GitHub Actions).

Preferred
• Workflow automation platforms (n8n, Temporal).
• AI-assisted development tools (Claude Code preferred, Codex also relevant).
• Enterprise software development experience.

Responsibilities

·        Lead the design and delivery of full-stack applications using .NET, React/Next.js, and Azure, with ownership from architecture through production support.

·        Set engineering standards for code quality, testing, performance, and security, and hold the team to them through active code authorship and thorough code review.

·        Make architectural decisions for new features and systems, weighing trade-offs and ensuring solutions are maintainable, observable, and built to scale.

·        Lead the integration of AI and GenAI capabilities into Firm applications, including LLM-powered features, retrieval-augmented generation (RAG) pipelines, semantic search, and agentic workflows.

·        Mentor engineers through pairing, design reviews, and ongoing feedback.

·        Work with product managers, designers, and architects to turn business requirements into clear technical plans and realistic delivery milestones.

·        Own the reliability of production systems: set observability standards, lead incident response, and see issues through to root cause.

·        Apply security best practices across the stack, including authentication, authorization, and data protection, with particular care given the sensitivity of legal data.

·        Partner with DevOps and Infrastructure on CI/CD pipelines, container platforms (Azure Kubernetes Service, Azure Container Apps), and cloud deployment patterns.