Cloud Engineer

As a Staff Software Engineer (Full Stack), you will be hands-on in designing, building, and delivering innovative AI-powered solutions, driving technical strategy, and embedding within business units to help accelerate Thomson Reuters’ AI-first transformation.

Define technical standards and best practices for rapid prototyping and solution discovery

Hands-on design and prototyping of complex, enterprise-scale AI-driven systems

Build engaging frontends using React, Next.js, Type Script, and Tailwind CSS

Develop robust backends with Python, FastAPI, Pydantic, and cloud infrastructure, including API design, data modeling, and AI service integration

Contribute to technical design decisions across the stack, including architecture, API design, and integration patterns

Lead architecture decisions and translate high-level business requirements into scalable technical specifications

Mentor engineers on the team and support technical growth

Serve as a senior technical voice in cross-functional and executive discussions

Lead full-stack projects through prioritization, scoping, technical guidance, and collaboration with cross-functional teams

Embed directly with business units to develop domain expertise and stakeholder relationships

Partner with business leaders, SMEs, and product teams to co-create solutions and drive adoption

Document architectural decisions and solutions for long-term knowledge sharing

You are a fit for the role if you have:

Bachelor’s degree in Computer Science, Engineering, or equivalent experience (Master’s preferred)

8+ years of hands‑on software engineering experience across the full stack

Strong technical leadership experience as an IC driving major initiatives

Excellent strategic thinking and problem‑solving abilities in fast‑paced environments

Strong communication and stakeholder management skills

Deep production experience with AWS or Azure

Experience designing, deploying, and operating cloud‑native systems

• Docker
• Terraform
• Cloud Formation
• Git Hub Actions / Git Lab CI / Azure Dev Ops
• Strong Python experience with practical AI system implementation
• LLMs
• AI agents / agentic workflows
• Lang Chain, Llama Index, Semantic Kernel, or similar orchestration frameworks
• AI/ML frameworks such as PyTorch or Tensor Flow
• Experience integrating AI models into production systems using APIs, data pipelines, and cloud‑native architectures
• Familiarity with vector databases and RAG patterns

Experience designing REST APIs and/or Graph

QL endpoints

• Strong understanding of data modeling and database optimization

Understanding of authentication and authorization patterns (OAuth2, OpenID Connect, etc.)

Knowledge of secure API design, secrets management, and cloud security best practices

4+ years leveraging advanced AI/ML frameworks in production

• Pinecone
• Weaviate
• Chroma
• Embeddings
• Semantic retrieval/search systems
• Familiarity with prompt engineering and tooling such as Lang Smith or Prompt Layer
• Experience with AI governance, model risk management, or compliance initiatives

• Kafka
• AWS SQS/SNS
• Serverless architectures (AWS Lambda / Azure Functions)

• New Relic
• Cloud Watch
• Application Insights

• Unit testing
• Integration testing
• End‑to‑end testing
• Familiarity with distributed tracing/logging systems such as Open Telemetry or ELK Stack

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

The pay range that the employer in good faith reasonably expects to pay for this position is $70-80/hr USD.

Our optional benefits can include medical, dental, vision and retirement benefits.

Applications will be accepted on an ongoing basis.

Tundra Technical Solutions (the operator of this Talent Community) is a global leader of contingent…