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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead SDET - **Company:** TEKSYSTEMS INC. - **Location:** Hanover, MD, United States (Remote available) - **Experience:** Expert - **Salary:** $113,100.0 - $169,700.0 - **Contract:** Permanent contract - **Skills:** Testing (Software), Java (Programming Language), JavaScript (Programming Language), Web Accessibility, Adobe InDesign, Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Acceptance Test-Driven Development, JIRA, User Authentication, Build Automation, Automation of Tests, Microsoft Azure, Behavior-Driven Development, Cloud Engineering, Code Generation, Code Review, Computer Programming, Databases, Continuous Integration, Data Validation, Information Leak Prevention, Extract Transform Load (ETL), Data Security, Software Design Patterns, Github, Apache JMeter, Junit, Python (Programming Language), Object-Oriented Software Development, Standard Sql, Selenium, Service Virtualization, Software Engineering, SQL Databases, System Testing, Test Case, Test Data, Test Management, Strategies of Testing, Testng, TypeScript, Performance Testing, Postman, GitHub Copilot, Retrieval-Augmented Generation, Appium, Large Language Models, Grafana, Cypress (Programming Language), Gatling, Generative AI, Infrastructure as Code (IaC), Agentic-AI, Gitlab, Git, Specflow, Pytest, Integration Tests, Microsoft Test Manager, Playwright, RAGAS (Retrieval Augmented Generation Assessment), Data Analytics, Graphql, DeepEval, Cucumber (Software), Software Version Control, Api Management, Promptfoo, Docker, SDET, Jenkins - **Published:** November 6, 2026 - **Apply:** https://www.careercircle.com/jobs/all/all/usa/md/hanover/9c8daf90-6c9d-4622-bfb2-0dc7a185a978 ## About the Role 8+ years in test automation, SDET, or software engineering roles, including at least 2 years leading automation teams or initiatives. Strong programming skills in Java, Python, JavaScript, or TypeScript, with solid OOP, design-pattern, and Git fundamentals. Proven experience designing automation frameworks from the ground up with Playwright, Selenium, or Cypress, and test runners such as TestNG, JUnit, or Pytest. Strong API testing experience (REST and/or GraphQL) using Rest Assured, Karate, Postman, or similar, including authentication and contract validation. Hands-on CI/CD integration with GitHub Actions, Azure DevOps, Jenkins, or GitLab, and working knowledge of Docker. Working SQL skills and experience validating data across databases and integrated systems. Practical, day-to-day use of AI coding or testing assistants, with a clear understanding of their limits, risks, and need for validation. Strong grasp of Agile delivery, test management, and defect lifecycle (e.g., Jira, Xray, Azure Test Plans). Excellent communication and mentoring skills; comfortable in client-facing environments. PREFERRED QUALIFICATIONS AI testing: Experience testing LLM, RAG, or agentic applications, or using evaluation frameworks and LLM-as-judge techniques. Specialized testing: Performance (JMeter, k6, Gatling), data/ETL, mobile (Appium), or accessibility testing. Cloud: Azure, AWS, or GCP exposure, ephemeral test environments, and infrastructure-as-code. Domain: Experience in banking, energy, automotive, or other regulated enterprise environments. Certifications: ISTQB (Advanced, CT-AI, or CT-GenAI) or a cloud associate certification. Valued, not required. TECHNICAL ENVIRONMENT UI and mobile: Playwright, Selenium, Cypress, Appium API and contract: Rest Assured, Karate, Postman, Pact Frameworks and BDD: TestNG, JUnit, Pytest, Cucumber/SpecFlow CI/CD: GitHub Actions, Azure DevOps, Jenkins, GitLab, Docker AI: GitHub Copilot, LLM APIs, agentic tools, evaluation frameworks (e.g., DeepEval, Ragas, promptfoo) Test management: Jira, Xray, Azure Test Plans, Allure or similar reporting, Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors. ## Description CI/CD Junit Triage Gitlab Github Appium TestNG Jenkins GraphQL Banking Specflow Test Case Operations Leadership Automation Mentorship TypeScript Resilience AI Testing Grafana k6 Code Review Scalability Testability API Testing Test Design AI Adoption Azure DevOps Quality Gate REST Assured Communication Data Security Apache JMeter Test Strategy Accountability Prioritization System Testing Execution Time GitHub Copilot Hallucinations Test Automation Authentications Microsoft Azure Test Management Customer Service Build Automation Contract Testing Agile Methodology Docker (Software) Defect Life Cycle Karate (Software) AI-Generated Code Business Valuation Gatling (Software) Shift-Left Testing Root Cause Analysis Amazon Web Services Integration Testing Selenium (Software) Cucumber (Software) Software Engineering Data Loss Prevention Postman API Platform Test Data Generation Business Intelligence Deterministic Methods Requirements Analysis Technology Strategies Full Stack Development Non-Functional Testing Microsoft Test Manager Service Virtualization Business Transformation Software Design Patterns Web Accessibility Testing Automation Systems Design SQL (Programming Language) Java (Programming Language) Behavior-Driven Development Git (Version Control System) Extract Transform Load (ETL) Infrastructure as Code (IaC) Cloud Computing Architecture Python (Programming Language) Playwright (Software Testing) JavaScript (Programming Language) Object-Oriented Programming (OOP) Generative Artificial Intelligence Acceptance Test-Driven Development Application Programming Interface (API) International Software Testing Qualifications Board (ISTQB) Certified, We are seeking a hands-on Lead SDET to own quality engineering for complex, enterprise-scale applications. You will define test strategy, architect and scale automation frameworks across UI, API, data, and integration layers, embed testing into CI/CD, and lead a team of SDETs to deliver reliable, maintainable automation., Test Strategy and Quality Leadership Own the end-to-end test strategy and plan, including risk-based prioritization, test levels, environments, test data, entry/exit criteria, and estimates. Define and report quality metrics (coverage, defect leakage, flaky-test rate, execution time, automation ROI) that drive release decisions. Drive shift-left practices: testable acceptance criteria, BDD/ATDD, contract testing, and early involvement in design and code reviews. Plan and guide non-functional testing, including performance, accessibility, security, and resilience, based on application risk. Automation Architecture and Engineering Architect, build, and maintain scalable automation frameworks for UI, API, database, and integration testing using sound design patterns (POM, Screenplay, layered and data-driven design). Write production-quality test code; set coding standards, branching practices, and review automation code across the team. Integrate automation into CI/CD pipelines with quality gates, parallel and containerized execution, test selection, and actionable reporting. Manage test data, mocks, and service virtualization; reduce flakiness through root-cause analysis and stable synchronization patterns. AI-Enabled Testing Use approved AI tools (e.g., GitHub Copilot, LLMs, agentic tools) to accelerate requirement analysis, test case and test data generation, script authoring, self-healing maintenance, and failure triage. Build or integrate AI-powered test utilities where they deliver measurable value, with reusable prompts and clear success criteria. Test LLM, RAG, and agent-based features for accuracy, grounding, hallucination, prompt injection, data leakage, bias, and response consistency. Apply guardrails: human review, deterministic assertions, secure data handling, and validation of all AI-generated code and test assets. Team Leadership and Delivery Lead, mentor, and grow SDETs; allocate work, unblock issues, and build automation and AI-testing capability across the team. Communicate quality status, risks, and trade-offs clearly to engineering, product, and client stakeholders. Contribute to estimates, proposals, and SOWs with realistic, scope-safe commitments; support onboarding and process improvement.