Staff Software Engineer (C#, Cloud)

About The Role

Leverage your expert-level C# programming skills to design, develop, and implement highly scalable, resilient, and secure enterprise AI services. This includes building foundational components for Agentic AI, LLM orchestration, and intelligent automation. Lead the technical integration and utilization of advanced cloud AI services like Azure OpenAI, AWS Bedrock, GCP Vertex AI, and other emerging Agentic AI technologies to deliver cutting-edge solutions to Thomson Reuters product teams. Build cloud-based solutions in AWS, Azure, and GCP clouds to support the delivery of AI technology to teams and products at TR. Develop robust API layers using platforms like Azure API Management and Google Cloud APIGEE to expose AI capabilities securely and efficiently. Provide hands-on technical leadership and mentorship to a team of Enterprise AI Services engineers, fostering best practices in software development, C# coding standards, and platform reliability. Drive agile development practices (Scrum/Kanban), ensuring clear visibility of work, efficient backlog management, and timely delivery of platform enhancements. Act as a technical subject matter expert, unblocking complex challenges and ensuring high-quality, production-ready code. Proactively research, evaluate, and prototype new AI, Generative AI, and Agentic AI architectures, assessing their maturity and strategic alignment with business and technology goals to inform the platform roadmap. Champion and embed security-by-design principles into all AI platform components and services. Collaborate closely with the Thomson Reuters information security team to implement robust enterprise-grade security features, addressing unique AI security concerns (e.g., prompt injection, data poisoning).

Requirements

• B.S./B.A. Computer Science or related field; or equivalent level of experience 8+ years of progressive experience in software development and platform engineering, with a significant focus on cloud-native architectures.
• Expert-level proficiency in C# development, with demonstrable experience building and deploying complex, highly scalable, and performant distributed systems and APIs.
• Previous Software or Cloud engineering and development experience required.
• UNIX/Linux administration experience required.
• AWS Cloud experience required (Cloud Practitioner and higher AWS certification preferred)
• Azure Cloud experience required (AZ-900 or AI-900 and higher Azure certification preferred)
• Google Cloud experience (APIGEE) is an asset.
• Understanding of vector capabilities and other AI functions.
• Demonstrated use of CI/CD technologies is a plus, understanding of tools like Azure DevOps, GitHub, GitHub Actions, JFrog Artifactory, Docker preferred.
• Demonstrated use of programming languages like Python, SQL is an asset, C# required.

Qualifications

• Strong passion for technology and a willingness to learn new skills.
• Self-motivation and self-direction, ability to translate technical direction and apply to specific work responsibilities.
• Ability to work effectively with cross-functional teams.
• Ability to investigate complex issues spanning multiple technologies.
• Excellent communication (written and verbal) and interpersonal skills.
• Strong technical aptitude.
• Strong analytical skills.

Skills

• Expert-level proficiency in C# development.
• Experience with cloud platforms (AWS, Azure, GCP).
• Experience with CI/CD technologies.
• Experience with Agile development practices (Scrum/Kanban).
• Experience with security-by-design principles.
• Experience with Generative AI and Agentic AI.

Benefits

Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.

Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.

Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.

Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.

Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.

Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.

Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

The use of AI within the recruitment process: Thomson Reuters utilizes Artificial Intelligence (AI) to support parts of our global recruitment process. Unless you opt-out, our AI system will assess the information provided by you and compare it to the requirements listed for the role, and present the result to our recruitment personnel for further review. The AI system acts as a supporting tool, but there is always a human making the decision if you will be considered for the role.

Base Compensation Range: For any eligible US locations, the base compensation range for this role is $127,400 USD - $236,600 USD. For Ontario, Canada, the base compensation range for this role is $148,800 CAD - $198,800 CAD. Base pay is positioned within the range based on several factors including an individual’s knowledge, skills and experience with consideration given to internal equity.