# **Our Privacy Statement & Cookie Policy****Overview of the Role** The AI Enabled Software Engineering (AIESE) team within Thomson Reuters is seeking Senior Software Engineers to join the search platform team building the shared search infrastructure that powers TR’s most important AI-enabled products. This is a full-ownership engineering role on a team that designs, develops, tests, deploys, scales, and operates production systems at scale — spanning Kafka-based document ingestion pipelines, hybrid search indexing, query APIs, and the cloud infrastructure that underpins them all.The team has three operating principles that are non-negotiable: you own what you build end-to-end from the first commit to the production dashboard; you ship to production constantly and treat delivery friction as an engineering problem to solve, not a fact of life; and you use AI-assisted development as a primary tool, not an experiment — the expectation is that the majority of code is written with AI assistance. Senior Engineers on this team take technical direction for their projects, hold design decision authority within their scope, provide subject matter expertiseto the team, and mentor more junior colleagues. This is a role for someone who takes genuine pride in the quality, reliability, and pace of what they deliver.**About the Role** Identify and address delivery friction proactively: if a deployment step is slow, a test is flaky, or a local development workflow is painful, treat it as a problem worth fixing — the team’s ability to ship to production constantly depends on every engineer pushing back on friction when they encounter it Take technical direction for assigned projects with design decision authority within your scope; break down customer and product requirements into work the team can execute on; lead routine and moderately complex projects using Agile/Scrum methodologies **Required Experience —** 5+ years of software engineering experience designing, developing, and testing production backend or data infrastructure systems, with demonstrated ability to take end-to-end ownership of features and componentsMastery of Python with the ability to make architectural decisions based on language strengths and to write high-quality production code with a focus on security and ethical AI practices Solid distributed systems knowledge: you understand the failure modes of message queues, streaming pipelines, and distributed databases, and you design systems that are resilient to them — implementing robust unit testing (TDD) and security best practices across the development lifecycle Proficiency with AWS cloud services (ECS, Lambda, DynamoDB, SQS/SNS, CloudWatch) and Infrastructure as Code tooling; ability to implement multi-environment architectures and scalability patternsProven ability to communicate technical concepts clearly to technical and non-technical stakeholders; strong written communication skills including design documents and component documentation**Preferred Experience —** Experience with Kafka or other distributed event streaming platforms in production, including producer/consumer patterns, offset management, and consumer group monitoring Familiarity with search engines (OpenSearch, Elasticsearch, Vespa, or Solr) at the level of writing queries, designing indexes, or operatingclustersExperience integrating multiple AI services — including embedding APIs, re-ranking models, and RAG-supported retrieval components — with error handling and fallback strategies in production Familiarity with online search analytics — query performance monitoring, A/B or interleaved ranking experiments, query log analysis — and how low-level search signals connect to downstream business metrics Background in infrastructure-as-code tooling (Terraform, AWS CDK, or similar) and container orchestration (ECS or Kubernetes) with ability to configure and optimize CI/CD pipelinesBuild strong working relationships with teammates, identify where your skills can have the highest near-term impact, and demonstrate the team’s operating principles — owning your work end-to-end, shipping frequently, and using AI-assisted development fluently**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.**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.**Future-ready careers**Our focus on a skills-first approach ensures you’ll have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.#J-18808-Ljbffr