Senior Software Engineer (Tech lead)

Work Schedule

Environmental Conditions

Job Description

COMPANY:                            Thermo Fisher Scientific Inc.

LOCATION:                            2130 Woodward St, Austin, TX 78744

TITLE:                                    Senior Software Engineer (Tech lead)

HOURS:                                  Monday to Friday, 8:00 am to 5:00 pm

DUTIES:                                 Lead the design and implementation of AI application platform solutions, including system architecture, POCs, and solution documentation, using advanced technologies such as Agents, Function Calling, MCP, RAG, and large language models (LLMs).
Design and deliver AI tools and AI enabled web applications using React, Python, TypeScript and similar technologies ensuring performance, scalability, and maintainability.
Build, deploy, and maintain web applications & Microservices (Python & Java) for both on-premises and AWS Cloud environments.
Mentor junior and senior engineers, conduct code reviews and guide technical decisions to ensure high-quality software delivery.
Collaborate with cross-functional product development teams—scientists, engineers, and Product Development Managers (PDMs)—to gather requirements and craft interactive scientific and AI-driven software solutions.
Work closely with internal platform teams, including the Innovation team and Asia-Pacific teams (e.g., Korea, China) as well as the BLR (Bangalore) team, to coordinate cross-functional initiatives and drive AI integration strategies, with flexibility in working hours to support effective communication and collaboration across global and regional teams.
Help non-AI teams embed intelligent capabilities—such as agents and chatbots—into their platforms.
Maintain, support, and enhance existing software applications, ensuring they evolve with user needs and technical best practices.
Build and maintain automated test frameworks and tools, ensuring test coverage and reliability through standard QA practices.
Develop and manage CI/CD pipelines and continuous deployment technologies for rapid, reliable delivery, supporting both development and production environments.
Manage DevOps activities including Azure and AWS infrastructure, Kubernetes orchestration, Docker containerization, and Ingress configuration.
Ensure application-level security, cost efficiency, and observability through metrics and logging systems.
Attend and actively participate in all Agile Scrum ceremonies (Daily Stand-ups, PI Planning, Sprint Planning, Grooming, Retrospectives).
Support production release lifecycles including release planning, regression testing, go-live support, and post-release aftercare.
Create and maintain comprehensive code and system documentation to support current and future development.
Can work hybrid (In-Office/Remote).
Travel: Up to 10% domestic and international travel required.                                                                                                                                   

REQUIREMENTS:                  MINIMUM Education Requirement: Master’s degree or foreign degree equivalent in Computer Science, Computer Engineering, or related field of study. MINIMUM Experience Requirement: 5 years of experience as a Software Engineer, or related occupation. Alternative Education and Experience Requirement: Bachelor’s degree or foreign degree equivalent in Computer Science, Computer Engineering, or related field of study plus 7 years of experience as a Software Engineer or related occupation as an equivalent alternative. Required knowledge or experience with: Python, Java, TypeScript, Linux Shell. AI Platform Architecture, Large Language Models (LLMs), GPT, Claude, Gemini, DALL·E, Agents, Function Calling, Model Context Protocol (MCP), RAG (Retrieval-Augmented Generation), Embedding Services, LangChain, AutoGen, SpringAI, OpenAI Assistant, OpenAI Agent, Code Interpreter. OIDC, JWT, OAuth2, JSON, Swagger. Angular, React, Node.js, HTML5, CSS, JavaScript, jQuery. SpringBoot, Spring, JDBC, MicroServices, Maven, Tomcat. Kubernetes, Docker, GitHub Actions, CI/CD, Ingress, Nginx, AWS (EKS, S3, SNS, SQS, RDS, Route53, Secret Manager, Cost Center), Azure (AI Hub, AI studio, Authentication, Cognitive AI Search), Load Balance, API Gateway, Helm Chart. System Design, Domain-Driven Design (DDD), Test-Driven Development (TDD), Reactive Programming (WebFlux). HTTP Streaming, WebSocket, Cookie, Session. QA Automation, Unit Test. Grafana, Prometheus, Metrics, Loki, JMeter, LangFuse. PostgreSQL, Redis, Vector DB, Graph DB, Databricks. VS Code, IntelliJ, GitHub Copilot, Confluence/Jira, Miro, Diagrams, Figma.