Thomson Reuters
Thomson Reuters
Thomson Reuters develops information, software, and services for professionals working across legal, tax, accounting, risk, compliance, and government. Its portfolio brings together authoritative legal and tax content with cloud-based platforms, artificial intelligence, workflow tools, and APIs. Products including Westlaw, Practical Law, CoCounsel AI, ONESOURCE, CoCounsel Tax, and CLEAR support activities such as legal research, document drafting, tax and audit work, trade compliance, investigations, public-records analysis, and risk management. The company serves law firms, corporations, accounting firms, and government organizations through technology designed for complex professional and regulatory work.

Software Engineering Manager, AI Platform — São Paulo Hybrid

Lead Thomson Reuters’ AI Platform engineering team in São Paulo, overseeing services, tools, and infrastructure. Guide delivery across Python, AWS, Kubernetes, and scalable back-end systems.

Description

  • Lead a software engineering team responsible for AI Platform services, tools, and infrastructure
  • Coach engineers and support their technical and career development
  • Design, develop, and maintain Python-based back-end services and APIs
  • Set and deliver the technical roadmap for AI Platform services
  • Architect scalable solutions on AWS cloud infrastructure
  • Oversee deployment and operation of containerized applications with Kubernetes
  • Set engineering practices for software development, security, reliability, and operations
  • Work with Product Managers, Architects, and cross-functional stakeholders
  • Manage software delivery, resource planning, and execution
  • Raise code quality through reviews, technical direction, and engineering governance
  • Assess emerging technologies, frameworks, and AI capabilities for platform improvements
  • Partner with Product, Architecture, and AI Platform teams on scalable, secure AI solutions

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience
  • Strong Python skills and knowledge of modern software engineering practices
  • Advanced English proficiency
  • Demonstrated experience leading and managing software engineering teams
  • Hands-on experience with AWS services such as EC2, S3, Lambda, and EKS
  • Solid understanding of Kubernetes and container orchestration
  • Experience with CI/CD, DevOps, and cloud-native application development
  • Strong knowledge of software architecture, scalability, performance, and reliability
  • Excellent communication, stakeholder management, and leadership skills
  • Strong problem-solving skills and the ability to lead in fast-paced environments
  • Experience with AI agents or tools such as Microsoft Copilot, Claude Code, or similar AI-assisted development platforms
  • Familiarity with AI/ML platforms and generative AI technologies
  • Experience with microservices and event-driven architectures
  • Knowledge of cloud security best practices
  • Experience leading distributed or globally dispersed engineering teams
  • Prior management experience in platform engineering, developer experience, or AI infrastructure

Benefits

  • Flexible hybrid work model
  • Work from anywhere for up to 8 weeks each year
  • Continuous learning and skills development programs
  • Grow My Way program
  • Medical and dental plans
  • Two company-wide mental health days
  • Performance-based incentive programs
  • Support for mental, physical, and financial well-being
  • Two paid volunteer days annually
  • Opportunities for pro bono consulting and ESG initiatives
  • Flexible work environment
  • Professional growth opportunities

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