[Hiring] Junior Software Engineer @Ngo Consulting Partners

Role 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.

Qualifications

• 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.