Staff 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.
Recognized as one of AMERICA'S MOST LOVED WORKPLACES® for five consecutive years and a Built In Best Places to Work for six years, we are committed to our 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.
Summary:
We are looking for technical team members at all levels who want to push themselves to deliver best in market SaaS solutions. We offer a challenging environment where you will have to grow, adapt, and use your skills consistently. Our products are in demand because we solve regulatory problems for our customers. Our customers rely on us in the moments that matter. Engineering delivers on that promise.
As a DFIN Staff engineer, you'll own projects end to end, design architecture, write code that others will look towards as a standard, understand how we operate our systems and ensure our technology continues to evolve and improve.
This isn't your simple, run-of-the-mill, boring system. This is a system with an interesting mix of design challenges such as, messaging, concurrency, network resiliency, data replication, load/demand prediction, eventual consistency, observability engineering, build/deployment optimization, and AI.
Responsibilities:
- Design and implement modular, cohesive frontend and backend services in distributed systems that are resilient, efficient, and reliable.
- Ensure automated tests and frameworks drive high software quality, support refactoring, and enable fast integration and delivery.
- Build concurrent and asynchronous systems with resilient network communications.
- Design, refactor, and develop within micro-frontend SPAs.
- Leverage AI, ML, and vector databases in development workflows and product features.
- Decompose complex components into clear architectural boundaries.
- Develop advanced algorithms and combinatorial solutions for complex problems.
- Apply observability practices including instrumentation, queries, dashboards, alerts, and distributed tracing.
- Monitor production performance, errors, and system usage.
- Optimize build, deployment, and infrastructure as code pipelines across local and cloud environments.
- Analyze escaped defects to identify root causes and corrective actions.
- Design and develop defensively to improve security beyond OWASP and zero trust through deep system understanding.
- Provide clear, actionable feedback through pull request reviews.
- Stay current with relevant technologies, tools, and engineering practices.
- Collaborate across product, engineering, SRE, and cross-functional teams, including offshore partners.
- Identify, surface, and proactively address technical debt.
- Contribute to technical roadmap planning.
- Design and lead product architecture while remaining hands-on.
Qualifications:
- 15+ years hands-on experience in C#, Node.js, or Typescript services.
- 10+ years in full-stack distributed systems.
- Experience with SQL Server and analytical platforms (e.g., Microsoft Fabric). Strong SQL skills for querying and troubleshooting.
- Strong Azure and cloud-native experience, or equivalent cloud platforms.
- Experience with DevOps practices and CI/CD pipeline optimization.
- Solid understanding of OOP, SOLID principles, and design patterns.
- Strong knowledge of data structures, algorithms, and performance trade-offs.
- Experience with secure coding practices and financial systems security.
- Ability to communicate complex technical concepts to non-technical stakeholders.
- Experience with React (preferred), Angular, or other SPA frameworks.
Experience in multiple areas such as:
- Browser APIs
- Performance profiling (compute, memory, latency)
- Algorithm design and optimization
- Messaging systems (Azure Service Bus, RabbitMQ)
- Distributed systems or P2P architectures
- APIs (REST, WebSockets, gRPC)
- Frontend testing
- Browser Canvas
- Containers (Docker, Kubernetes)
- Stream processing or reactive programming
- Experience in regulated environments.
Education:
- Bachelor's degree in Computer Science or related field, or equivalent experience.
It is the policy of Donnelley Financial Solutions to select, place, and manage all its employees without discrimination based on race, color, national origin, gender, age, religion, actual or perceived disability, veteran status, actual or perceived sexual orientation, genetic information or any other protected status.
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