Senior QA Engineer

Outreach, established in 2014, is a leading agentic AI platform designed to empower revenue teams by automating workflows and enhancing strategic conversations. The platform integrates agentic AI, conversation intelligence, and assistive AI to support a wide range of revenue activities, from prospecting and deal acceleration to retention and forecasting. Outreach serves top enterprise clients such as Databricks, SAP, Siemens, and Verizon, providing revenue leaders with connected account visibility, performance insights, and improved forecasting accuracy across all go-to-market teams.

Key Responsibilities
- Develop and execute comprehensive automation test plans and scripts aligned with project requirements.
- Write and maintain code using programming languages such as Java, Python, JavaScript, or TypeScript, with a preference for JavaScript.
- Utilize automation tools like Cypress, Web Driver IO, or Protractor effectively.
- Apply AI-driven automation techniques to enhance testing processes.
- Work with CI/CD pipelines including CircleCI, Jenkins, or Azure DevOps to integrate testing workflows.
- Manage database testing using PostgreSQL or SQL.
- Understand and test microservices architecture.
- Perform API automation testing using tools such as Postman, Rest Assured, Super Test, or Axios.
- Conduct testing on web services including GraphQL and RESTful APIs.
- Test Gen-AI applications and agentic workflows, with automation experience considered a plus.
- Execute functional, regression, and database testing to ensure software quality.
- Gain hands-on experience with Enterprise SaaS platforms.
- Work with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
- Apply knowledge of QA methodologies, software development life cycle (SDLC), software testing life cycle (STLC), and Agile practices.

Required Qualifications
- 3 to 5 years of experience in software development and/or test automation, with leadership in quality assurance for complex distributed systems.
- Bachelor’s degree in Computer Science or a related technical field.
- Strong programming skills in Python, with expertise in building reusable and maintainable test frameworks.
- Proven experience testing large-scale backend or platform systems, including microservices and APIs.
- Deep understanding of test design principles, CI/CD integration, and scalable automation frameworks.
- Familiarity with test frameworks such as Cypress or Playwright.
- Excellent communication and collaboration skills across engineering, data science, and product teams.

Preferred Qualifications and Benefits
- Experience testing Enterprise SaaS applications.
- Proficiency in writing SQL queries.
- Ability to build and maintain test frameworks, including regression and smoke test suites.
- Experience testing GenAI products, large language model (LLM) systems, or agentic AI platforms.
- Strong background in API testing and automation.
- Familiarity with cloud platforms (AWS, GCP, Azure) and containerized environments like Docker and Kubernetes.
- Domain knowledge in sales, sales engagement, or CRM platforms such as Salesforce or HubSpot, including understanding sales workflows and data.
- Prior involvement in AI quality strategies within product or research settings.

Benefits
- Competitive salary package.
- 25 days of annual vacation plus sick leave and casual leave.
- Group medical insurance covering employees and up to five eligible family members.
- Outpatient department (OPD) benefits up to INR 10,000.
- Life and personal accident insurance at three times the annual CTC.
- Maternity leave pay for 26 weeks and paternity leave pay for 15 days.
- Opportunity to participate in the company’s RSU program.
- Diversity and inclusion initiatives supporting employee resource groups such as OWN+ (Women’s Network), Adelante (Latinx), OBX (Black Connection), Mosaic (AAPI), Pride (LGBTQIA+), Gender+, Disability Community, and Veterans/Military.
- Employee referral bonuses.
- Regular company and team outings promoting a balanced work culture.

Outreach is an equal opportunity employer committed to building diverse teams that bring fresh perspectives and elevate ideas. Candidates from all backgrounds, including historically marginalized groups, are encouraged to apply. The company values hiring the whole person, not just a resume, and welcomes applicants even if they do not meet every listed requirement. AI tools may be used to assist in the hiring process, but all final decisions are made by human recruiters.