Junior Software Engineer (QA & Automation)

Description This role is ideal for an early-career engineer excited to work on AI and data-driven products. You’ll help ensure the accuracy, consistency, and reliability of our systems while learning from senior engineers. As part of a small, collaborative team, you’ll test, validate, and automate workflows that make complex processes simple, repeatable, and reliable. Flexible: 20–35+ hours/week Core Responsibilities Manual QA & Validation - Test software pipelines and AI model outputs for accuracy, consistency, and stability. - Develop and maintain automated validation scripts and regression test suites. - Maintain and curate test datasets to ensure broad coverage of normal, edge, and failure scenarios. - Assist in defining and documenting test plans, acceptance criteria, and QA results with product and engineering teams. Automated Testing - Write automated unit and integration tests using frameworks such as PyTest or Jest. - Integrate automated tests into CI/CD pipelines (e.g., GitHub Actions, Jenkins) for repeatable QA workflows. - Monitor test results and troubleshoot failures with guidance from senior engineers. Configuration & Environment Management - Apply and verify code and pipeline configurations following defined processes. - Maintain configuration files, environment variables, and schema updates across test environments. - Support setup of data mappings, schema definitions, and parameter configurations for new customers with guidance from senior engineers. - Validate new customer configurations and sample outputs for accuracy and completeness. Lightweight Development - Implement minor bug fixes and small code enhancements as part of QA feedback. - Contribute to code reviews and assist in refactoring or documentation. - Collaborate on scripting and automation to streamline validation, deployment, or monitoring steps. - Participate in team QA reviews and retrospectives to improve processes and automation coverage. Required Skills & Experience - 1–3 years of professional experience in QA automation, software testing, or software engineering. - Working knowledge of Python or similar scripting languages. - Familiarity with unit testing frameworks (e.g., PyTest, Unittest, Mocha/Jest). - Basic understanding of CI/CD tools (e.g., GitHub Actions, Jenkins, CircleCI). - Experience with Git and modern source control workflows. - Comfortable working with JSON schemas, API validation, and data-driven testing. - Comfortable leveraging AI tools to augment and optimize day-to-day tasks. - Strong attention to detail and process adherence. - Comfortable working in small, fast-moving technical teams. Ideal Candidate Traits - Hands-on and detail-oriented, with the ability to thrive in a fast-moving startup environment. - A “get it done” attitude and proven track record of taking ownership over workstreams. - Comfortable managing priorities across multiple operational responsibilities. - Collaborative and able to communicate effectively with both technical and non-technical stakeholders. Nice to Haves - Exposure to AI, ML, or data processing pipelines. - Experience validating AI or ML model outputs (data extraction, classification, etc.). - Experience with Docker or cloud-based environments. - Familiarity with schema validation libraries and data transformation workflows. Originally posted on Himalayas