Senior Software Engineer - AI-Driven Cloud-Native (Remote)

Donnelley Financial, LLC; Rockville (MD); On-site; USD 140,000 - 190,000; Full time

Job summary

Donnelley Financial Solutions (DFIN) is seeking a Senior Software Engineer for the Venue Engineering team to build enterprise-grade cloud-native services on Microsoft Azure, applying AI-enabled practices and owning components end-to-end.

Collaborating with product, QA, SRE, and support, you will design scalable APIs, ensure security and reliability, and drive continuous improvement across the SDLC in a fast-paced SaaS environment.

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.

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.

Skills

C#

NET / ASP.NET Core

SQL Server / Azure SQL

React & front-end tech

AI-assisted engineering

Cloud-native on Azure

RESTful APIs

Distributed systems

CI/CD & DevOps

Education

Bachelor's degree in Computer Science, Software Engineering, or related field

Job description

Donnelley Financial Solutions (DFIN) is seeking a Senior Software Engineer for the Venue Engineering team to build enterprise-grade cloud-native services on Microsoft Azure, applying AI-enabled practices and owning components end-to-end.

Collaborating with product, QA, SRE, and support, you will design scalable APIs, ensure security and reliability, and drive continuous improvement across the SDLC in a fast-paced SaaS environment.