Senior Quality Assurance Engineer

As a Senior Quality Assurance Engineer, you'll be an integral part of our collaborative, agile testing team. You'll work closely with product managers, UI/UX designers, developers, and fellow engineers to bring innovative ideas to life and deliver high-quality, bug-free software solutions.

We foster an open, inclusive environment where all perspectives are valued. Our team is focused on driving innovation, leveraging cutting-edge AI technologies, and maximizing engineering efficiency. We prioritize clean architecture, real-time performance, and data quality.

Job Responsibilities
Test Framework Design & Development

• Design, develop, and maintain robust, scalable test frameworks spanning API, UI, and system integration layers.
• Define and evolve test architecture standards to ensure frameworks remain modular, reusable, and maintainable as the product grows.
• Establish test strategy and coverage plans across functional, regression, integration, and end-to-end testing layers.
• Continuously evaluate and introduce new tools, frameworks, and methodologies to improve testing efficiency and reliability.

CI/CD Integration & DevOps Collaboration

• Integrate automated test suites into CI/CD pipelines (e.g., Jenkins, GitHub Actions, Azure DevOps, GitLab CI) to enable continuous, reliable delivery.
• Partner closely with DevOps teams to embed quality gates, automated smoke/regression checks, and rollback triggers within deployment pipelines.
• Monitor pipeline test execution, triage failures quickly, and drive root-cause resolution to minimize build breakage and deployment delays.
• Optimize pipeline test execution time through parallelization, test selection strategies, and flaky-test remediation.

Infrastructure as Code & Test Environment Management

• Leverage Infrastructure-as-Code tools such as Terraform, CloudFormation, or Ansible to provision, configure, and tear down test environments on demand.
• Maintain configuration management practices that ensure consistent, reproducible test environments across development, staging, and pre-production.
• Automate environment provisioning workflows to reduce manual setup time and environment-related test failures.

Database & Data Quality Testing

• Design and execute test coverage for relational data using SQL Server, including schema validation, stored procedure testing, and data integrity checks.
• Validate NoSQL data stores such as MongoDB or Cosmos DB, covering document structure, indexing behavior, and query performance.
• Test data pipelines, migrations, and transformations to ensure accuracy, consistency, and completeness of data across systems.

API & UI Test Automation

• Build and maintain comprehensive API automation suites using tools such as Postman, Rest Assured, or SoapUI, covering functional, contract, and negative test scenarios.
• Develop and maintain UI automation using tools such as Selenium, Cypress, or Playwright, ensuring robust cross-browser and cross-device coverage.
• Ensure API and UI test suites are integrated into the broader regression and release-readiness process.

Cloud Platform Testing

• Test applications and services deployed on modern cloud platforms, particularly AWS (or equivalent), validating functionality, scalability, and resilience.
• Assess performance and reliability of cloud-hosted services under varying load conditions, including large-scale distributed systems.

AI-Enhanced Testing & Productivity

• Apply AI-enhanced development tools (e.g., GitHub Copilot, Replit AI, ChatGPT, Amazon CodeWhisperer, or equivalents) to discover bugs faster, automate repetitive testing tasks, and accelerate testing cycles.
• Apply AI/ML concepts, even at a foundational level, to optimize test workflows and strategies, perform intelligent test-data analysis, and support data-driven testing decisions.
• Use prompt engineering and LLM-assisted testing techniques to automate test documentation, code scans, monitoring, and anomaly detection.

Leadership & Cross-Functional Collaboration

• Lead QA activities across multiple concurrent projects, ensuring timely, high-quality, and predictable deliveries.
• Collaborate closely with product managers, UI/UX designers, developers, and fellow QA engineers to ensure comprehensive test coverage and consistently high product quality.
• Communicate testing approaches, risks, and quality metrics clearly to both technical and non-technical stakeholders.
• Mentor and guide other QA engineers, sharing best practices in automation, tooling, and AI-assisted testing.

Job Requirements

• Proven experience designing, developing, and maintaining test frameworks across API, UI, and system integration layers.
• Hands-on experience integrating automated tests into CI/CD pipelines and collaborating directly with DevOps teams.
• Working knowledge of Infrastructure-as-Code tools such as Terraform, CloudFormation, or Ansible for test environment provisioning and configuration management.
• Practical experience with SQL Server and NoSQL technologies such as MongoDB or Cosmos DB.
• Hands-on expertise with API testing tools, e.g., Postman, Rest Assured, or SoapUI.
• Strong experience with UI automation tools, e.g., Selenium, Cypress, or Playwright.
• Familiarity with modern cloud platforms, particularly AWS or an equivalent provider.

AI & Productivity Tooling (Modern Skills)

• Demonstrated experience using AI-enhanced development tools (e.g., GitHub Copilot, Replit AI, ChatGPT, Amazon CodeWhisperer, or equivalents) to discover bugs, automate repetitive tasks, and speed up testing cycles.
• Comfortable applying AI/ML concepts, even at a basic level, to optimize workflows and test strategies, perform intelligent data analysis, or support product decision-making.
• Familiarity with prompt engineering, LLM-assisted testing, or using AI to automate documentation, code scans, or monitoring.

Education & Experience

• Bachelor's degree in Computer Science, Software Engineering, or a related field — or equivalent practical experience.
• 10+ years of experience as an Automation Test Engineer, with deep expertise in testing frameworks and tools, cloud technologies, and modern software testing practices.

Soft Skills

• Proven ability to lead QA activities across multiple projects, ensuring timely and high-quality deliveries.
• Strong problem-solving skills with a growth mindset and genuine openness to AI-powered innovation.
• Excellent communication and cross-functional collaboration abilities.
• Capable of managing competing priorities and meeting deadlines in a fast-paced, continuously evolving environment.
• Comfortable collaborating with product managers, developers, and fellow QA team members to ensure test coverage and overall product quality.

Additional Preferred Qualifications

• Proven experience testing large-scale distributed systems in a cloud environment.
• Background in testing Windows-based production systems, network configurations, and server performance in the cloud.
• Strong scripting and automation skills (PowerShell, Bash, Python) — bonus if paired with AI-based infrastructure tools.
• AWS certification or similar credentials.
• Experience explaining technical concepts clearly to both technical and non-technical stakeholders.
• Experience using AI to accelerate DevOps, CI/CD pipelines, or observability tooling is a major advantage.

Equal Opportunities Statement
At Gresham, we are committed to building a diverse and inclusive workforce that reflects the communities we serve. We actively encourage applications from individuals of all backgrounds and are dedicated to providing a workplace where everyone feels valued, respected and supported.

We make employment decisions based on merit, skills and potential, and do not discriminate based on any protected characteristic. We are also committed to making reasonable adjustments throughout the recruitment process and employment lifecycle.