Senior Software Engineer

Senior Software Engineer

Join a dynamic team at the pulse of global markets, where we deliver innovative software and service solutions for essential financial reporting and capital markets transactions. At DFIN, we are a values-driven organization that empowers you to build a fulfilling career while bringing your authentic self to work every day. Our "Win as One" mentality ensures that our team's success is directly linked to Client, Shareholder and Employee Satisfaction. In 2026, DFIN was named #1 on the 2026 Top 100 Global Most Loved Workplaces® by Best Practice Institute. We have also been recognized as one of America's Most Loved Workplaces® for five consecutive years and a Built In Best Place to Work for six years, reflecting our continued commitment to supporting employees' total well-being. Enjoy competitive compensation, a flexible workplace, comprehensive benefits, and opportunities for professional growth. Bring your passion and talents to DFIN – because being YOU thrives here.

DFIN is seeking a highly skilled Senior Software Engineer to join the Venue Engineering team at DFIN. Venue from Donnelley Financial Solutions is a top-tier virtual data room provider trusted by countless businesses serving global mission-critical financial transaction markets. Our product is a modern SaaS platform built on Microsoft Azure designed with scalable, resilient, cloud-native architecture which sets the bar for a responsive, intuitive, and innovative solution. As a Senior Software Engineer, you are expected to combine strong software development skills with proficiency in AI-enabled engineering practices, distributed systems expertise, and operational ownership. This role requires strong technical expertise, modern cloud development experience, collaboration across product, engineering, QA, SRE, and support organizations, and continuous learning. Successful candidates demonstrate sound engineering judgment, take ownership of outcomes, and raise the technical capabilities of those around them.

Responsibilities

• Design, develop, test, deploy, and support enterprise-grade software solutions.
• Lead design discussions and contribute to architectural decision-making.
• Develop cloud-native services, modern APIs, user interfaces, integrations, and background processing systems utilizing messaging, queues, and service-based communication patterns.
• Create reusable frameworks, shared components, and engineering accelerators.
• Design and implement solutions that meet functional and non-functional requirements including security, performance, scalability, reliability, fault tolerance, concurrency, and maintainability.
• Ensure design precedes implementation through technical specifications, data flow reviews, dependency analysis, and feature design reviews.
• Deliver software with enterprise-grade quality and drive it through whole SDLC.
• Ensure code is secure, maintainable, observable, and supportable.
• Create technical designs and implementation plans.
• Identify technical risks early and propose mitigation strategies.
• Create and maintain automated unit tests and partner closely with SDETs to ensure comprehensive quality coverage throughout development.
• Reduce technical debt through continuous improvement initiatives.
• Utilize AI-assisted development tools such as GitHub Copilot and approved AI solutions.
• Identify opportunities to improve engineering velocity and software quality through AI-enabled workflows and drive adoption of effective AI engineering practices.
• Apply AI across the software development lifecycle including requirements analysis, architecture exploration, implementation, testing, documentation, troubleshooting, and operational support.
• Use AI responsibly utilizing only approved AI tools as an accelerator, not a replacement for engineering judgement. Validate and review AI-generated output to ensure correctness, security, maintainability, and compliance.
• Stay informed on emerging AI technologies and bring practical innovation to engineering teams.
• Senior Engineers are expected to own the systems they build.
• Support production systems, participating in incident response activities, and conducting root cause analysis.
• Design monitoring, telemetry, and observability solutions.
• Drive reliability, resiliency, performance, and scalability improvements.
• Partner with support, operations, and product teams to reduce operational risk.

Required Qualifications

Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience. 10+ years of professional software development experience. Strong experience with: C# NET / ASP.NET Core SQL Server or Azure SQL React and front-end web technologies Experience leveraging AI-assisted engineering. Experience developing cloud-native applications on Microsoft Azure. Experience building RESTful APIs and distributed systems. Strong understanding of software architecture and design patterns. Experience with CI/CD pipelines and DevOps practices. Excellent analytical, troubleshooting, communication, and collaboration skills.

Preferred Qualifications

Experience with Azure Service Bus, messaging systems, or event-driven architectures. Experience building real-time communications using SignalR, WebSockets, or similar technologies. Experience implementing observability solutions using OpenTelemetry, Splunk, New Relic, or similar platforms. Experience supporting SaaS products at scale. Experience participating in production incident response activities. Experience leading technical initiatives across multiple teams. Experience with infrastructure-as-code and cloud automation. Experience in regulated or compliance-sensitive environments. Microsoft Azure certifications.

Technologies Build and maintain solutions using the following technologies. Backend: C# NET 8 / ASP.NET Core REST APIs Azure Functions Entity Framework SQL Server Frontend: React TypeScript JavaScript HTML5 / CSS Additional Technologies Cloud & Platform Services: Microsoft Azure Azure Service Bus SignalR Azure Storage Azure App Services Azure Monitoring Services Engineering Toolchain: GitHub Enterprise Azure DevOps Harness SonarQube New Relic Splunk