Senior Software Engineer
Donnelley Financial Solutions, Inc.
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Job summary
Donnelley Financial Solutions, Inc. is seeking a Senior Software Engineer to join the Venue Engineering team. You will design, build, and operate cloud-native software on Microsoft Azure, employing AI-assisted engineering and modern APIs to deliver enterprise-grade SaaS solutions.
You will collaborate across product, engineering, QA, SRE, and support to drive reliability, performance, and scalable architectures for mission-critical financial transactions.
Qualifications
- Bachelor's degree in CS/SE or equivalent practical experience.
- 10+ years of professional software development experience.
- Strong experience with C#/.NET/ASP.NET Core, SQL Server, and React.
- Experience leveraging AI-assisted engineering.
- Experience developing cloud-native apps on Microsoft Azure.
- Experience building RESTful APIs and distributed systems.
- Experience with CI/CD pipelines and DevOps practices.
- Excellent analytical, troubleshooting, and collaboration skills.
Responsibilities
- Design, develop, test, deploy, and support enterprise software.
- Lead design discussions and contributing architectural decisions.
- Develop cloud-native services, APIs, UI, integrations, and processing systems.
- Create reusable frameworks and accelerators for engineers.
- Ensure security, performance, scalability, reliability, and maintainability.
- Own the designs and collaborate across teams for implementation.
Skills
Education
Tools
Job description
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.
- 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.
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.
- 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.
Build and maintain solutions using the following technologies.
- C#/.NET 8 / ASP.NET Core
- REST APIs
- Azure Functions
- Entity Framework
- SQL Server
- React
- TypeScript
- JavaScript
- HTML5 / CSS
- Microsoft Azure
- Azure Service Bus
- SignalR
- Azure Storage
- Azure App Services
- Azure Monitoring Services
- GitHub Enterprise
- Azure DevOps
- Harness
- SonarQube
- New Relic
- Splunk
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.
If you are a qualified individual w ith a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access jobs.dfinsolutions.com as a result of your disability. You can request a reasonable accommodation by sending an email to
Requested to contact via email for general TA questions and not used for updates on your application status.
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