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…