As a Senior Quality 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
- Design, develop, and maintain robust test automation frameworks spanning API, UI, and system integration layers.
- Build and execute automated test suites using Java/JavaScript, leveraging tools such as Selenium, Cypress, or Playwright for UI automation and Postman, Rest Assured, or SoapUI for API testing.
- Validate data integrity and query performance across MS SQL Server and NoSQL platforms (MongoDB, Cosmos DB) as part of end-to-end test coverage.
- Integrate automated test suites into CI/CD pipelines, working closely with DevOps teams to ensure fast, reliable feedback loops.
- Provision and manage test environments using Infrastructure-as-Code tools (Terraform, CloudFormation, or Ansible), primarily within AWS or equivalent cloud platforms.
- Apply AI-enhanced development tools (e.g., GitHub Copilot, ChatGPT, Amazon CodeWhisperer) to accelerate bug discovery, automate repetitive testing tasks, and shorten test cycles.
- Explore and apply AI/ML concepts — including prompt engineering and LLM-assisted testing — to optimize test strategies, support intelligent data analysis, and automate documentation, code scans, or monitoring.
- Partner with product managers, UI/UX designers, developers, and fellow QA engineers to define test coverage, review requirements, and ensure quality is built in from the design stage.
- Lead and mentor junior team members, manage competing priorities, and drive delivery timelines in a fast-paced, agile environment.
- Champion clean architecture, real-time performance, and data quality standards across the testing lifecycle.
- Test large-scale distributed systems in cloud environments, including Windows-based production systems, network configurations, and server performance validation, where applicable.
- Apply scripting and automation skills (PowerShell, Bash, Python) to strengthen test infrastructure, ideally paired with AI-based tooling.
- Contribute to continuous improvement of CI/CD pipelines and observability tooling, incorporating AI-driven approaches where they add measurable efficiency.
Job Requirements
Core Technical Qualifications
- Proven experience designing, developing, and maintaining robust test automation frameworks spanning API, UI, and system integration layers.
- Strong hands-on programming experience in Java/JavaScript.
- Strong experience with UI automation tools/frameworks such as Selenium, Cypress, or Playwright.
- Hands-on experience with API testing tools/frameworks such as Postman, Rest Assured, or SoapUI.
- Hands-on experience with MS SQL Server, as well as NoSQL technologies such as MongoDB or Cosmos DB.
- Experience integrating automated tests into CI/CD pipelines, with the ability to collaborate closely with DevOps teams.
- Familiarity with Infrastructure-as-Code (IaC) tools such as Terraform, CloudFormation, or Ansible for test environment provisioning and configuration management.
- Familiarity with modern cloud platforms, particularly AWS or equivalent.
- Demonstrated experience using AI-enhanced development tools (e.g., GitHub Copilot, ChatGPT, Amazon CodeWhisperer) 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 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.
- 9–11 years of overall automation testing experience, with deep expertise in test automation frameworks, tools, and modern software testing practices.
Soft Skills
- Strong problem-solving skills with a growth mindset and openness to AI-powered innovation.
- Excellent communication and cross-functional collaboration abilities.
- Capable of leading teams, managing priorities, and meeting deadlines in a fast-paced, continuously evolving environment.
- Proven ability to collaborate with product managers, developers, and QA team members to ensure test coverage and quality.
Additional Preferred Qualifications
- Proven experience testing large-scale distributed systems in cloud environments.
- 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 is a plus.
- 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.
