Junior Software Engineer (QA & Automation)

Job description

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