Senior Software Test Engineer 2 (Manual)

About OrbitShift

At OrbitShift, we are building the world’s first AI-native Sales Operating System, trusted by enterprise teams to accelerate their GTM motion. Our multi-agent AI system enables actionable account insights, RFP response generation, targeted nudges, and sales content.

Backed by Peak XV (formerly Sequoia Capital), Stellaris Venture Partners, and other marquee investors, we are a fast-growing startup with a team from Amazon, McKinsey, IIT, and Stanford.

Role Overview

The Software Test Engineer II (STE 2) is responsible for ensuring the quality and reliability of software applications through comprehensive manual testing practices. This role independently owns testing activities for assigned features, collaborates with cross-functional teams, validates business and technical requirements, and drives quality improvements throughout the software development lifecycle. The ideal candidate is detail-oriented, analytical, and able to use modern AI tools to improve testing efficiency and effectiveness.

Key Responsibilities

• Analyze business requirements, user stories, and functional specifications to identify test scenarios and quality risks.
• Design, develop, execute, and maintain test cases, test plans, and test data.
• Perform functional, regression, integration, system, exploratory, and user acceptance testing.
• Independently manage testing activities for medium to complex features and releases.
• Identify, document, track, and verify defects through resolution.
• Validate application functionality, integrations, APIs, and database transactions.
• Execute SQL queries for backend data validation and testing.
• Collaborate with Product Owners, Business Analysts, Developers, and other stakeholders to ensure quality deliverables.
• Participate in Agile ceremonies, including sprint planning, backlog grooming, reviews, and retrospectives.
• Perform root cause analysis of defects and contribute to quality improvement initiatives.
• Review requirements and provide early quality feedback to minimize defects.
• Mentor junior QA engineers and support knowledge-sharing activities.
• Prepare test execution reports and communicate testing progress, risks, and quality metrics.
• Use AI-powered tools and LLMs to assist with test case generation, requirement analysis, defect investigation, documentation, and test data preparation.
• Validate application response times, page load times, and system behavior against defined performance requirements.
• Support performance and load testing activities by preparing test data, validating results, and identifying user-facing performance issues.
• Report performance bottlenecks, scalability concerns, and user experience issues observed during testing.
• Collaborate with development and DevOps teams to validate performance improvements and fixes.

What We’re Looking For?

Education

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.

Experience

• 3–6 years of experience in manual software testing.
• Strong understanding of the Software Development Life Cycle (SDLC) and Software Testing Life Cycle (STLC).
• Experience in functional, regression, integration, system, exploratory, and UAT testing.
• Hands-on experience with defect tracking and test management tools such as Jira, Azure DevOps, or similar.
• Strong knowledge of SQL and relational databases, with the ability to write complex queries for data validation.
• Experience testing REST APIs using tools such as Postman or equivalent.
• Good understanding of Agile/Scrum methodologies.
• Strong analytical, troubleshooting, and problem-solving skills.
• Excellent verbal and written communication skills.
• Experience collaborating with cross-functional teams in a fast-paced environment.
• Working knowledge of AI concepts, Generative AI, and Large Language Models (LLMs).
• Hands-on experience using AI tools such as ChatGPT, GitHub Copilot, Gemini, Claude, or similar tools to improve testing productivity.
• Understanding of performance testing concepts including load, stress, endurance, and scalability testing.
• Ability to validate application performance against business and non-functional requirements.
• Experience analyzing application response times, API latency, and overall user experience.
• Familiarity with performance metrics such as response time, throughput, concurrency, CPU utilization, memory consumption, and error rates.
• Experience collabor…