Software Development Engineer in Test (SDET)

Clarity Bio Systems; Mumbai; On-site; INR 223,000 - 446,000; Part time

Job summary

Clarity Bio Systems is a dynamic startup focused on applying metabolomics and AI-powered workflows to provide actionable solutions for research, biomanufacturing, precision healthcare, and FMCG applications. We value collaboration, creativity, and continuous learning.

Our interdisciplinary team works together to develop novel metabolomics solutions. The SDET internship in Mumbai offers hands-on testing of our AI-powered software platform, with potential promotion to full-time after 3 months

Qualifications

• UG/PG in Computer Science, Bioinformatics, or related discipline.
• Basic experience with automated testing tools (e.g., Pytest, Selenium, Postman, Playwright).
• Understanding of web application architecture and REST APIs.
• Familiarity with Git and CI/CD pipelines.
• Motivation to explore clinical, biotech, or healthcare-oriented workflows.
• Ability to work independently and collaborate within a multidisciplinary team.
• Clear documentation and communication skills.

Responsibilities

• Designing and maintaining automated test frameworks for backend APIs, frontend components, and data workflows.
• Validating file system integrations (local/cloud) with attention to data privacy and security.
• Working with developers and data scientists to define robust QA pipelines.
• Setting up continuous testing in CI/CD systems.
• Simulating real-world workflows and validating deployment logic.
• Logging bugs, analyzing root causes, and driving quality improvements.

Skills

Automated testing tools

REST APIs

Git

CI/CD

Documentation

Communication

Education

UG/PG in Computer Science or Bioinformatics

Tools

Docker

Job description

Software Development Engineer in Test (SDET)

Clarity Bio Systems is a dynamic startup focused on applying metabolomics and AI-poweredworkflows to provide actionable solutions for research, biomanufacturing, precisionhealthcare, and FMCG applications. We value collaboration, creativity, and continuouslearning. Our interdisciplinary team (chemical engineering × biology × AI) works together todevelop novel metabolomics solutions.

About the Role

We are looking for a full-time SDET (Software Development Engineer in Test) intern basedin Mumbai (IIT Bombay), with potential promotion to full-time position after 3 monthsbased on performance. The candidate will be responsible for testing and validating our AIpowered software platform, ensuring high reliability across clinical trial support tools,biomarker discovery workflows, and hospital-deployed versions.

Key Responsibilities

• Designing and maintaining automated test frameworks for backend APIs, frontendcomponents, and data workflows.
• Validating file system integrations (local/cloud) with attention to data privacy andsecurity
• Working with developers and data scientists to define robust QA pipelines
• Setting up continuous testing in CI/CD systems
• Simulating real-world workflows and validating deployment logic
• Logging bugs, analyzing root causes, and driving quality improvements

Compensation:

The stipend will be in the range of ₹20,000–₹40,000/month, depending on skill set and aligned with industry standards.

Skills and Qualifications

• UG/PG in Computer Science, Bioinformatics, or related discipline
• Basic experience with automated testing tools (e.g., Pytest, Selenium, Postman, Playwright)
• Understanding of web application architecture and REST APIs
• Familiarity with Git and CI/CD pipelines
• Motivation to explore clinical, biotech, or healthcare-oriented workflows
• Ability to work independently and collaborate within a multidisciplinary team
• Clear documentation and communication skills

Nice to have:

• Prior experience with healthcare/clinical trial software testing
• Understanding of GCP/AWS and containerized environments (Docker)
• Experience with performance or load testing

Clarity Bio is an equal opportunity employer committed to inclusion.

Analyze multi-omics datasets to identify biological signatures and predictive models.

Analyze multi-omics datasets to identify biological signatures and predictive models.