Staff Software Engineer I

Thomson Reuters•Eagan, MN

3d•Hybrid

About The Position

The Staff Software Engineer provides technical leadership across the Cloud Cost Management and Reporting portfolio, including home grown built tools for cost reporting, forecasting, optimization, software inventory, and related internal engineering tools. This role is responsible for driving architectural direction, delivering complex cross-functional initiatives, mentoring engineers, and ensuring the long-term scalability, reliability, and effectiveness of our solutions. The Staff Software Engineer partners closely with engineering leadership, product stakeholders, FinOps teams, cloud platform teams, and business partners to transform cloud and AI cost data into actionable insights that support strategic decision-making.

Requirements

Bachelor's degree in Computer Science, Engineering, or equivalent experience.
8+ years of software engineering experience with demonstrated technical leadership.
Expertise in cloud-native application development and distributed systems.
Strong experience with AWS and familiarity with Azure, GCP, or OCI.
Experience designing APIs, data pipelines, and scalable reporting or analytics solutions.
Strong understanding of software architecture, security, CI/CD, and observability practices.
Strong understanding of data modeling
Proven ability to lead large initiatives across multiple teams.
Excellent communication and stakeholder management skills.

Nice To Haves

Experience with FinOps, cloud cost management, forecasting, budgeting, or chargeback/showback solutions.
Experience with AI/LLM platforms, cost reporting, and AI governance.
Experience with Power BI, Snowflake, data warehousing, or enterprise reporting platforms.
Experience leading platform modernization and cloud optimization initiatives.
Experience mentoring senior engineers and shaping technical strategy.

Responsibilities

Lead design and implementation of complex features across the Cost management and Reporting portolio.
Establish engineering standards, design patterns, and best practices to ensure maintainable and scalable solutions.
Drive modernization efforts, technical debt reduction, platform simplification, and operational excellence.
Identify opportunities to leverage AI, automation, and analytics to improve platform capabilities and customer experience.
Provide technical leadership for emerging initiatives and proof-of-concept efforts.
Drive engineering efficiency through automation and adoption of modern development practices.
Champion high-quality software engineering practices including testing, observability, security, automation, and CI/CD.
Communicate complex technical concepts to both technical and non-technical audiences.
Mentor and coach engineers across the organization.
Lead design reviews and foster a culture of engineering excellence and continuous improvement.