Work Schedule
Standard (Mon-Fri)
Environmental Conditions
Office
Job Description
About Company:
ThermoFisher Scientific Inc. is the world leader in serving science, with revenues of more than $25 billion and approximately 1,30,000 employees globally. We help our customers accelerate life sciences research, solve elite analytical challenges, improve patient diagnostics, deliver medicines to market, and increase laboratory efficiency.
Through our world-class brands—Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, and Unity Lab Services—we offer an unmatched combination of innovative technologies, purchasing convenience, and comprehensive services.
About Team:
We are the Digital Foundation Platform team - the software center of excellence (CoE) for Thermo Fisher Scientific. We develop and deliver foundational components, SaaS-based applications, digital lab (Cloud-based) tools, and foundational AI and agentic AI solutions to help scientists work more efficiently and precisely, enabling them to make our world healthier, cleaner, and safer. Our elite software products and solutions accelerate scientific discovery and lab productivity. These solutions
- Provide rich content, selection tools, teamwork tools, and scientific apps that allow our customers to focus on innovation and the complexities of their science.
- Build a connected world for our customers where discoveries happen in a thoughtful way — where every device/product is connected, self-aware, and self-healing—thereby enabling efficient workflows and collaborative science.
- Enable our customers to efficiently handle their labs by providing them with insight into workflow processes, asset uptime, and product availability.
We give them the flexibility to access what they need when they need it, allowing them to select and receive products and services across multiple channels. We apply industry-standard methodologies to the design, development, and deployment of best-in-class software products built to demonstrate the power and scalability of the cloud.
Roles & Responsibilities:
Purpose:
The Software Staff Engineer provides software and systems architectural and design leadership to multiple Software Development Scrum Teams delivering Connect Platform & Ecosystem, Customer tenancy, Authorization, and Digital product subscriptions and entitlements. The role is that of a Lead Developer who is motivated to actively contribute to the architecture, design, and development of new features. The person is also expected to perform all aspects of software development, including programming, system design, code review, design review, unit testing, and integration testing. In addition to that, the role also demands leading, empowering, mentoring, and providing ample guidance to the other team members with respect to technical challenges.
Responsibilities:
- Partner with business stakeholders to understand business objectives, workflows, and pain points
- Discover and prioritize high-value AI Business use cases with measurable impact
- Translate business requirements into scalable solution architectures using existing reusable capabilities
- Select the most appropriate AI models (LLMs, SLMs, multimodal, domain-specific) based on use case, performance, cost, and latency
- Design Retrieval-Augmented Generation (RAG) architectures, including vector databases, indexing strategies, chunking, embedding models, and retrieval patterns
- Identify and compose the right platform components, reusable services, tools, APIs, and agentic building blocks
- Configure and orchestrate agents, multi-agent workflows, memory, tools, and enterprise integrations
- Integrate enterprise data sources, knowledge repositories, and external systems securely
- Optimize prompts, reasoning workflows, model parameters, and inference strategies for accuracy and performance
- Validate solutions through prototypes, pilot deployments, and business acceptance testing
- Drive solution adoption from Private Preview to General Availability (GA)
- Monitor solution effectiveness, collect operational and business feedback, and continuously optimize deployments
- Capture reusable patterns, reference architectures, and best practices to continuously enhance the agentic AI platform
- Collaborate with platform engineering teams to identify capability gaps and influence future platform evolution
- Able to understand, articulate, and challenge the requirements
- Guides design activity to other programmers on technical aspects relating to the project
- Proactively looks for ways and patterns to continuously automate feature testing with measurable and tangible goals
- Is authentic, transparent, and leads by example, holding self and others accountable. Inspires, motivates, and collaborates with others
- Anticipates needs and problems while creating solutions. Is willing to ask difficult questions and take risks. Greets challenge and change as opportunity
- A highly motivated fast learner who can self-start and “figure out what needs figuring out”
- Actively participates in development community of practices in sharing and learning standard processes, leads initiatives within the community , and is involved in other organization initiatives
- Excellent verbal and written communication skills. Ability to effectively document artifacts and processes and then explain them to others
Candidate Requirement:
Education: Bachelor's in engineering or master's in computer science with 10+ years of proven experience
Required Skills, Knowledge, and Experience:
- Minimum 10 years’ experience in Agentic Application Development using Python, Java, C++, C#, Go, JavaScript/TypeScript, or equivalent languages. Related technologies; Expertise in OOAD principles and methodologies
- Extensive experience in Java application development frameworks and technologies: Apache Tomcat, Jetty, Juice, Spring, and JSON/XML/Ajax
- Strong in programming fields like object-oriented principles, design patterns, data structures, and unit testing (TDD using JUnit), Domain-Driven Design (DDD)
- Minimum 4 years’ experience in cloud computing using AWS such as S3, DynamoDB, SNS, SES, EC2
- Proven experience in designing Retrieval-Augmented Generation (RAG) architectures, including vector databases, indexing strategies, chunking, embedding models, and retrieval patterns.
- Demonstrable experience in identifying and composing the right platform components, reusable services, tools, APIs, and agentic building blocks.
- Hands-on experience in configuring and orchestrating agents, multi-agent workflows, memory, tools, and enterprise integrations.
- Minimum 4 years’ experience with databases (Postgres/MySQL/Oracle/NoSQL DB), persistence frameworks, and SQL
- Extensive knowledge in handling sophisticated data structures and well-versed in developing multithreaded applications.
- 3 Years of proven experience with GitHub, Docker, and CI/CD frameworks (Jenkins, GHA)
- Experience with defining and implementing Non-Functional Requirements (NFR – Security, Performance, Cost, and code quality)
- Experience in designing and architecting large-scale, highly available distributed software
- Committed individual, can connect dots, nurture the technical talent, and have a high bar for team behaviours
- Have experience in publishing white papers, being part of the IP creation, and mentoring and coaching technical talent across multiple teams
- Believe in expertise-based technical leadership and foster continuous learning