Staff Software Engineer II
- Thomson Reuters
- 4 - 13 years
- Hyderabad
- 3 months ago
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Job Description
About the role:
As a Staff Software Engineer (Full Stack), you will be hands-on in designing, building, and delivering innovative AI-powered solutions, drive technical strategy and embed within business units to reimagine processes and accelerate TRs AI-first transformation.
Build & Design AI-Driven Systems
- Define technical standards and best practices for rapid prototyping and lead solution discovery
- Hands-on design and prototyping of complex, enterprise-scale AI-driven systems
- Personally build engaging front-ends using React, Next.js, TypeScript, and Tailwind CSS
- Directly develop robust back-ends with Python, FastAPI , Pydantic , and cloud infrastructure, including API design, data modeling, and AI service integration
Provide Senior Technical Leadership
- Contribute to technical design decisions across the stack, including architecture, API design, and system integration patterns
- Lead technical architecture decisions and translate high-level business requirements into comprehensive, scalable technical specifications
- Mentor other engineers on the team, fostering technical growth and career development
- Serve as a senior thought leader, driving technical discussions in executive forums and representing Forward Engineering at internal events
Lead Cross-Functional Collaboration
- Serve as a technical leader for full-stack projects through prioritization decisions, scoping out timelines, guiding the work of other engineers, and collaborating with cross-functional partners
- Embed directly with prioritized business units to develop deep domain expertise and build stakeholder relationships
- Partner with business leaders, functional SMEs, and product teams to co-create solutions and drive adoption
- Document solutions and architectural decisions for knowledge transfer and capability building
About You
You are a fit for the position if you have :
Required Skills and Experience
Core Engineering Experience
- Bachelors degree in computer science, engineering, or equivalent experience; Masters degree preferred
- 8+ years of hands-on software engineering experience across the full stack (we welcome engineers who are stronger in front-end or back-end but have demonstrated capability in both)
- Strong leadership experience driving technical initiatives as an individual contributor
- Excellent strategic thinking, problem-solving skills, and ability to operate effectively in complex, fast-paced environments
- Outstanding communication and presentation skills with experience influencing senior stakeholders
Cloud & Infrastructure (Required)
- Deep, production-level experience with AWS or Azure - you should have designed , deployed, and operated systems on at least one of these platforms
- Experience with cloud orchestration and infrastructure tools (Docker, Kubernetes, Terraform, CloudFormation, or similar)
- Understanding of CI/CD pipelines and modern DevOps practices (GitHub Actions, GitLab CI, Azure DevOps, or similar)
AI & Machine Learning (Required)
- Proficiency in Python and practical experience working with AI systems, including:
- Basic understanding and hands-on experience with large language models (LLMs)
- Experience building or integrating AI agents or agentic workflows
- Familiarity with LLM orchestration frameworks ( LangChain , LlamaIndex, Semantic Kernel, or similar)
- Familiarity with AI/ML frameworks ( PyTorch , TensorFlow, or similar)
- Demonstrated expertise integrating AI models into production systems using APIs, data pipelines, and cloud-native architecture
- Basic understanding of vector databases and RAG (Retrieval-Augmented Generation) patterns
Data & APIs (Required)
- Experience designing and implementing RESTful APIs and/or GraphQL endpoints
- Hands-on experience with both SQL databases (PostgreSQL, MySQL, or similar) and NoSQL databases (MongoDB, DynamoDB, CosmosDB , or similar)
- Understanding of data modeling, database design, and optimization
Security & Best Practices
- Understanding of authentication and authorization patterns (OAuth 2.0, OpenID Connect, or similar)
- Knowledge of security best practices including secrets management and secure API design
Bonus Points
Advanced AI/ML Experience
- 4+ years of experience leveraging advanced AI/ML frameworks in production systems
- Advanced knowledge of vector databases (Pinecone, Weaviate , Chroma, pgvector ), embeddings, semantic search, and information retrieval systems
- Experience with prompt engineering and management tools ( LangSmith , PromptLayer , or similar)
- Experience with AI governance, model risk management, and regulatory compliance
Infrastructure & Scale
- Experience with message queues and event-driven architectures (Kafka, RabbitMQ, AWS SQS/SNS, Azure Service Bus, or similar)
- Experience with serverless architectures (AWS Lambda, Azure Functions)
Observability & Quality
- Production experience with APM and observability tools (Datadog, New Relic, Application Insights, or similar)
- Experience implementing comprehensive testing strategies (unit, integration, e2e) using modern testing frameworks
- Knowledge of distributed tracing and logging systems ( OpenTelemetry , ELK Stack, CloudWatch)
Job Classification
Industry: Accounting / AuditingFunctional Area / Department: Engineering - Software & QARole Category: DevOpsRole: Site Reliability EngineerEmployement Type: Full timeContact Details:
Company: Thomson ReutersLocation(s): Hyderabad+ View Contact
Keyskills: Architecture Data modeling Database design Consulting MySQL System integration Flex Risk management SQL Python
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