Lead .Net Software Engineer

At Broadridge, we've built a culture where the highest goal is to empower others to accomplish more. If you’re passionate about developing your career, while helping others along the way, come join the Broadridge team. Role overview We’re looking for a Lead .Net Software Engineer to help shape the technical direction, architecture, standards, and delivery of our core platform. This is a hands-on technical leadership role combining software engineering depth with pragmatic architectural judgement. You’ll contribute directly in the codebase while guiding design and delivery across services, APIs, event flows, BFFs, and selected frontend components within an event-driven architecture. Our platform is built primarily with C#, .NET, PostgreSQL, AWS, Blazor, and MudBlazor, with services running across Lambda, ECS, and EC2. We continue to evolve our engineering practices, tooling, and platform capabilities as the platform grows. We take an AI-first approach to engineering, with AI-assisted development embedded into day-to-day workflows. This role will help drive effective adoption of those practices and support the design, implementation, operation, and governance of selected AI agents and agent-enabled workflows. While this role does not include line management, it does involve strong technical leadership through mentoring, design guidance, and raising engineering standards across the team. Responsibilities Provide technical leadership across design, implementation, and delivery Contribute hands-on in the codebase and model strong engineering practices Help shape architecture across microservices, event-driven systems, APIs, BFFs, and frontend applications Guide the design of scalable, secure, and maintainable software solutions Work with architects and engineers to turn technical direction into practical outcomes Define and promote engineering standards, patterns, and best practices Support engineers through code reviews, design reviews, mentoring, and technical problem-solving Collaborate with product, delivery, and business stakeholders to align solutions with priorities Translate requirements into clear solution designs and actionable technical work Identify technical risks, bottlenecks, dependencies, and opportunities for improvement Contribute to AWS-based architecture and engineering practices, including environments using Lambda, ECS, and EC2 Improve observability, reliability, performance, security, and operational readiness across the platform Contribute to Jenkins pipelines and CI/CD practices to improve consistency and delivery efficiency Help embed AI-assisted development into engineering workflows across design, coding, testing, and documentation Support the design, operation, and continuous improvement of selected AI agents and agent-enabled workflows Help define and apply appropriate guardrails, governance, and quality controls for AI-enabled tools Maintain clear technical documentation for architecture, services, event flows, pipelines, AI agents, and key decisions Requirements Strong commercial experience in software engineering, with significant hands-on experience in C# and .NET Experience designing and building production microservices , APIs, and distributed systems Strong understanding of event-driven architecture and asynchronous integration patterns Experience working with BFF patterns and service-oriented frontend integration approaches Strong experience with relational databases , ideally PostgreSQL Strong grounding in software design principles, object-oriented programming, design patterns, and maintainable system design Experience contributing to or leading technical design and architecture decisions Experience with CI/CD pipelines and modern software delivery practices; Jenkins experience is strongly preferred Understanding of build automation, deployment pipelines, release processes, and engineering workflows Experience with testing, code reviews, and software quality practices Meaningful hands-on experience using AI-assisted development tools as part of day-to-day engineering work Practical understanding of AI-first software development Experience contributing to, supporting, or governing the use of AI agents or LLM-powered engineering workflows Ability to break down complex technical problems and guide delivery through clear, pragmatic technical direction Strong communication skills and the ability to work effectively with engineers, stakeholders, and architects Experience mentoring or technically guiding other engineers Nice to have: Experience with AWS Lambda, ECS, and EC2 Experience with Docker and container-based development Experience with infrastructure-as-code and environment automation Familiarity with DevOps practices and infrastructure-aware development Experience with messaging, event streaming, or related event-driven technologies Experience with Blazor and MudBlazor Familiarity with observability and monitoring tooling in distributed systems Experience defining governance, controls, or operating models for AI agents or AI-enabled internal tools Experience working in a growing product or platform engineering environment #LI-Hybrid #LI-LM1 We are dedicated to fostering a collaborative, engaging, and inclusive environment and are committed to providing a workplace that empowers associates to be authentic and bring their best to work. We believe that associates do their best when they feel safe, understood, and valued, and we work diligently and collaboratively to ensure Broadridge is a company—and ultimately a community—that recognizes and celebrates everyone’s unique perspective. Use of AI in Hiring As part of the recruiting process, Broadridge may use technology, including artificial intelligence (AI)-based tools, to help review and evaluate applications. These tools are used only to support our recruiters and hiring managers, and all employment decisions include human review to ensure fairness, accuracy, and compliance with applicable laws. Please note that honesty and transparency are critical to our hiring process. Any attempt to falsify, misrepresent, or disguise information in an application, resume, assessment, or interview will result in disqualification from consideration.