Intern - Software Developer
- Mumbai, India
- Internship
- Intern/New Grad
- Bachelor's degree
- Posted
Skills
Required
- REST APIs
- service interfaces
- HTTP o
- JSON o
- REST o
- WebSocket
- TCP/IP
- software-to-software
- software-to-device communication
- Linux
- Embedded Systems
- Linux and embedded Linux environments
- Python
- Git
Preferred
- Django
- NumPy / Pandas / Matplotlib
- Python-based
- test automation
- unit testing / pytest
- databases / SQL
- CI/CD tools
- instrumentation / sensors / laboratory equipment / device integration
- Backend
Intern - Software Developer Location(s) Mumbai About Us Revvity is a developer and provider of end-to-end solutions designed to help scientists, researchers, and clinicians solve the world’s greatest health challenges.
About Revvity
- We pair the enthusiasm of an industry disruptor with the experience of a longtime leader.
- Our team of 11,000+ colleagues from around the globe are vital to our success and the reason we’re able to push boundaries in pursuit of better human health.
Responsibilities
- Find your future at Revvity Key Responsibilities Python Development • Develop and maintain software components using Python under the guidance of senior engineers. • Write clean, structured, and maintainable Python code. • Work with existing Python codebases and implement small enhancements and fixes. • Develop scripts and utilities to support engineering and testing activities. • Learn and apply object-oriented programming and basic software design principles.
- Software & System Integration • Support integration of software with hardware, firmware, and instrument components. • Develop and test basic device-control and instrument workflow functionality. • Support troubleshooting of communication between software components and instruments. • Assist engineers in implementing and testing software features.
- Testing & Automation • Develop and execute unit, integration, and functional tests. • Support automated testing and regression testing activities. • Create Python-based test scripts and utilities. • Analyse test results and document failures. • Work with SQA engineers to reproduce, investigate, and track software defects.
- Debugging & Troubleshooting • Analyse application logs, exceptions, and test failures. • Assist in identifying root causes of software issues. • Reproduce software and system-level defects. • Support engineers in troubleshooting hardware/software interface issues.
- Data Processing • Work with basic Python libraries such as: o NumPy o Pandas o Matplotlib • Support data processing, analysis, visualization, and engineering test activities.
- Git & Software Development Practices • Learn and use Git-based development workflows. • Work with branches, commits, pull requests, and code reviews. • Follow software development standards and documentation practices. • Gain exposure to CI/CD, automated builds, dependency management, and software release processes.
- Documentation & Collaboration • Document software changes, test results, issues, and troubleshooting steps. • Participate in code reviews and technical discussions. • Work closely with Software, Firmware, Systems, and SQA teams. • Learn engineering processes used for development and verification of scientific instruments.
Requirements
- API & Communication • Work with basic REST APIs and service interfaces. • Gain practical experience with: o HTTP o JSON o REST o WebSocket o TCP/IP • Support development and testing of software-to-software and software-to-device communication.
- Linux & Embedded Systems • Work in Linux and embedded Linux environments. • Gain hands-on experience with SSH, processes, services, logs, networking, and system configuration. • Support software deployment and configuration on embedded platforms such as Raspberry Pi. • Assist in troubleshooting Linux and system-level issues.
- Bachelor’s degree or pursuing a degree in Computer Science, Information Technology, Electronics, Electrical Engineering, or related discipline. • Good programming knowledge in Python. • Basic understanding of object-oriented programming. • Basic understanding of software development and debugging. • Good problem-solving and analytical skills. • Basic knowledge of Linux. • Basic understanding of Git. • Basic understanding of HTTP, JSON, and APIs. • Willingness to work on both software and hardware/software integration. • Good communication and documentation skills. • Strong willingness to learn and work on real engineering problems.
Preferred
- / Good-to-Have Skills • Academic or personal project experience using Python. • Exposure to Django or other Python frameworks. • Basic knowledge of REST APIs, WebSocket, or TCP/IP. • Experience with NumPy, Pandas, or Matplotlib. • Exposure to Linux/Raspberry Pi or embedded systems. • Experience with Python-based test automation. • Exposure to unit testing or pytest. • Basic understanding of databases or SQL. • Exposure to CI/CD tools. • Familiarity with Agile/Scrum development practices. • Academic project involving instrumentation, electronics, sensors, laboratory equipment, or device integration.
- Key Learning Opportunities During the internship, the candidate will gain practical exposure to: • Python software development • Backend and service development • Test automation • Software verification and validation • Linux and embedded systems • API and device communication • Hardware/software integration • Data processing and analysis • Git and modern software development practices • Debugging and root-cause analysis • Software development for scientific and laboratory instruments
- Key Competencies • Strong learning ability and technical curiosity. • Logical and structured problem-solving. • Attention to detail. • Ability to work collaboratively with experienced engineers. • Willingness to take ownership of assigned tasks. • Ability to learn unfamiliar technologies and existing codebases. • Good communication and documentation skills.
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