Staff Software Engineer, C#, Cloud

Thomson Reuters

Staff Software Engineer leveraging C# to lead advanced cloud AI services at Thomson Reuters. Designing scalable enterprise AI solutions and providing technical leadership to development teams.

Posted 7/12/2026full-timeEagan • Minnesota • 🇺🇸 United StatesLead💰 $127,400 - $236,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Expertise in C# programming and cloud engineering, with a strong focus on developing AI services and implementing security-by-design principles. Proven ability to lead technical teams, drive agile practices, and deliver high-quality documentation.

Highest-signal resume keywords

C# DevelopmentAWS Cloud ExperienceAzure Cloud ExperienceAPI DevelopmentTechnical Leadership

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Hard Skills

C# ProgrammingCloud EngineeringAPI DevelopmentUNIX/Linux AdministrationCI/CD TechnologiesPythonSQLAgile DevelopmentAI ArchitectureSecurity-by-Design Principles

Soft Skills

Excellent CommunicationSelf-MotivationAnalytical SkillsInterpersonal SkillsProblem-Solving

Tools & Technologies

AWSAzureGCPAzure API ManagementGoogle Cloud APIGEEAzure DevOpsGitHubDockerJFrog ArtifactoryGitHub Actions

Certifications & Qualifications

AWS Cloud PractitionerAzure AZ-900Azure AI-900

Industry Keywords

AI ServicesCloud SolutionsTechnical IntegrationAgile PracticesEnterprise-Grade Security

Tech Stack

Tools & technologies

AWSAzureCloudDockerGoogle Cloud PlatformLinuxPythonSQLUnix

About the role

Key responsibilities & impact

Leverage expert-level C# programming skills to design, develop, and implement AI services
Lead the technical integration of advanced cloud AI services
Build cloud-based solutions in AWS, Azure, and GCP clouds
Develop robust API layers using Azure API Management and Google Cloud APIGEE
Provide hands-on technical leadership and mentorship to a team of engineers
Drive agile development practices (Scrum/Kanban)
Act as a technical subject matter expert for unblocking complex challenges
Research, evaluate, and prototype new AI architectures
Champion security-by-design principles into all AI platform components
Collaborate with the information security team to implement enterprise-grade security features
Prepare and present high-quality technical and non-technical documentation
Proactively mitigate technical and operational risks associated with scaling AI systems

Requirements

What you’ll need

B.S./B.A. in Computer Science or related field; or equivalent level of experience
8+ years of progressive experience in software development and platform engineering
Expert-level proficiency in C# development
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 Azure DevOps, GitHub, GitHub Actions, JFrog Artifactory, Docker preferred
Demonstrated use of programming languages like Python, SQL is an asset, C# required
Strong passion for technology and a willingness to learn new skills
Self-motivation and self-direction
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

Benefits

Comp & perks

Health insurance
401(k) matching
Flexible vacation
Two company-wide Mental Health Days off
Access to the Headspace app
Tuition reimbursement
Employee incentive programs
Mental, physical, and financial wellbeing resources