L #2835
Applications open
Full-Time Job
Python Engineer Systems and Edge Computing
Thermo Fisher Scientific
About the role
Work Schedule
Standard (Mon-Fri)
Environmental Conditions
Office
Join Thermo Fisher Scientific to develop software platforms that support advanced scientific instruments and engineering workflows. Work with global product, hardware and software teams to deliver reliable systems used in semiconductor, life sciences and materials research.
How Will You Make An Impact
We are seeking a Python Engineer with 4–6 years of software development experience to build and maintain Python services and system automation supporting IoT and edge devices. You will implement defined features, support device setup and deployment, and troubleshoot application and connectivity issues. Working with senior engineers, you will develop practical systems knowledge and contribute to reliable software used with scientific instruments.
What Will You Do
- Develop and maintain Python modules, APIs and utilities for file processing, configuration, process execution and device communication within an established architecture.
- Configure and onboard IoT gateways or edge devices using existing tools and procedures; maintain device inventory, software versions and configuration records.
- Integrate with existing device APIs or SDKs to read telemetry, check status and exchange commands using documented interfaces.
- Support installation, container deployment and approved software updates on Linux devices; perform validation checks and follow documented recovery procedures.
- Implement input validation, error handling, logging and basic retry behaviour; handle disconnected devices and report failures clearly.
- Investigate Python errors, service failures and connectivity issues using logs and basic Linux/network tools; resolve assigned defects and escalate complex issues with useful diagnostics.
- Write unit and integration tests using pytest or unittest, mock external dependencies, and run checks through existing CI/CD pipelines.
- Follow secure coding and credential-handling practices, participate in code reviews and Agile delivery, and maintain setup guides and troubleshooting notes.
Required Skills
- 4–6 years of software development experience with hands-on Python coding, including functions, classes, modules, collections, exception handling and file operations.
- Experience developing or maintaining Python APIs, services or automation scripts, with working knowledge of JSON, configuration files and reusable code.
- Working Linux knowledge covering command-line tools, processes, services, permissions and logs; ability to perform basic system troubleshooting.
- Practical exposure to setting up, integrating, testing or supporting IoT devices, gateways or edge systems; willingness to work hands-on with lab hardware.
- Basic understanding of IP addressing, ports, HTTP/REST and device connectivity; familiarity with MQTT or a comparable messaging protocol.
- Experience with Git, unit testing, debugging and documenting changes; ability to deliver assigned tasks independently and seek guidance on unfamiliar system-level issues.
Desirable Skills
- Exposure to Docker, CI/CD tools such as Jenkins, and Python frameworks such as FastAPI or Flask.
- Familiarity with Raspberry Pi, NVIDIA Jetson, industrial PCs or similar devices, or experience supporting software updates and remote diagnostics.
- Basic experience with SQL/SQLite, shell scripting, Windows or PowerShell, or Azure/AWS IoT services.
- Exposure to sensor integration, MQTT, OPC UA or Modbus; awareness of authentication, certificates and safe handling of device credentials.
- Interest in AI-enabled edge applications or experience using AI-assisted development tools, with appropriate review and testing of generated code.
Preferred Qualifications
- Bachelor’s degree in Computer Science, Electronics, Electrical Engineering or a related technical field, or equivalent practical experience.
- Experience collaborating with software, hardware or QA teams in an Agile product-development environment.
Eligibility & process
Who can apply
Employment type: Full-time
Skills & stack
Selection process
Details are shared by the recruiter after shortlisting.
Prep kit
20 resourcesStudy material 4
Aptitude Practice Questions & Mock Tests
Curated logical, quantitative, and verbal reasoning problems for the initial online screening round.
Company-Specific Interview Preparation Corner
Detailed interview experiences, exam formats, and previous test questions for Thermo Fisher Scientific and tech roles.
Technical Placement Question Bank
High-yield coding cheat sheets, core CS fundamentals (OOP, DBMS, OS, Networks), and rapid revision guides.
Algorithm, DSA & Live Code Debugger Practice
Hands-on problem sets to improve coding speed and step-by-step memory debugging.
Company-specific guides 4
APTITUDE & LOGIC
Aptitude Practice Questions & Online Mock Tests
Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.
COMPANY GUIDE
Thermo Fisher Scientific Interview Preparation Corner
Comprehensive guide covering typical interview formats, common questions, and preparation tips for Thermo Fisher Scientific and off-campus tech roles.
MOCK TESTS & PAPERS
Comprehensive Interview Prep Resources & Syllabus
Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.
CODING PRACTICE
Algorithm and Data Structure Problem Set
Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.
Likely coding questions 4
Round-wise strategy 4
Round 1: Online Assessment (OA)
Aptitude, Quantitative Logic & 2 Coding Problems
Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1
Core Tech Stack (Python, SQL, FastAPI, Flask, REST APIs, AWS, Azure, Docker) & Live Code Tracing
Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving
Database Schemas, APIs & Architecture Basics
Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion
Thermo Fisher Scientific Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
Technical questions 5
What is the difference between WHERE and HAVING clauses in SQL? Answer
Model answer: WHERE filters rows before any groupings are applied, while HAVING filters aggregated groups after GROUP BY has executed.
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer
Model answer: ROW_NUMBER() assigns unique sequential integers. RANK() assigns identical ranks to ties and skips ranks. DENSE_RANK() assigns identical ranks to ties without skipping rank numbers.
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer
Model answer: Use .isna().sum() to identify missing values. Impute with mean/median using .fillna() or remove with .dropna(subset=[...]) depending on variance impact.
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer
Model answer: Star Schema has denormalized dimension tables directly connected to the central Fact table. Snowflake Schema normalizes dimension tables into sub-dimensions to minimize redundancy.
How do you calculate MoM (Month-over-Month) growth in SQL? Answer
Model answer: Use LAG(revenue, 1) OVER (ORDER BY month) to fetch the previous month's revenue and compute (revenue - prev_revenue) / prev_revenue * 100.
Behavioural & HR questions 3
Why do you want to join Thermo Fisher Scientific as a Python Engineer Systems and Edge Computing?
Highlight Thermo Fisher Scientific's market reputation, recent tech innovations, and how your skills in Python directly solve their team's objectives.
Highlight Thermo Fisher Scientific's market reputation, recent tech innovations, and how your skills in Python directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.
Competitive Package
Bengaluru, India
Employment type: Full-time
