Manager SQA I (Contractual) at Pakistan Single Window Karachi 2026

About the Job

Pakistan Single Window (PSW) is a national government initiative under the Ministry of Commerce, Government of Pakistan. PSW operates a unified digital platform that connects traders, customs authorities, shipping lines, and regulatory agencies to streamline cross-border trade across Pakistan. Quality assurance is a core function within PSW's technology delivery, ensuring that every product line meets the reliability, security, and performance standards required by national trade infrastructure.

PSW is hiring a Manager SQA I (Contractual) (Job Code: SP 016) based in Karachi, Sindh. This is a contractual, on-site role within the Innovation & Special Projects department. The Manager SQA will define the comprehensive QA strategy across manual and automated testing, lead a high-performing QA engineering team, architect scalable automation frameworks, integrate testing into CI/CD pipelines, execute complex SQL-based data verification, conduct API and performance testing, leverage AI-assisted testing tools, lead release coordination, and drive Root Cause Analysis on production incidents.

Job Details

Responsibilities

• Define the comprehensive QA strategy (manual and automated) and lead a high-performing engineering team, fostering a culture of technical ownership, mentorship, and continuous improvement
• Architect, implement, and maintain scalable test automation frameworks to increase testing efficiency, coverage, and velocity across all product lines
• Collaborate with DevOps and Development teams to integrate automated testing seamlessly into CI/CD pipelines, supporting continuous testing and deployment
• Partner closely with Product Managers, Developers, and stakeholders to align testing activities with business requirements, project schedules, and release timelines
• Execute complex SQL queries for data reconciliation, conduct API load/performance testing, and validate security measures against vulnerabilities and OWASP standards
• Leverage AI tools and assisted practices within workflows to optimize test case generation, enhance defect analysis, and expand overall coverage
• Lead release planning, environment coordination, production deployments, smoke testing, and post-release verification activities
• Support production incident workflows by driving Root Cause Analysis (RCA), managing defects, and tracking critical quality and performance metrics

Requirements

• Bachelor's or Master's degree in Computer Science or IT, with 10-11+ years of SQA experience including a proven track record in a leadership or team management role
• Deep expertise in Agile (Scrum/Kanban) environments, the full SDLC, and designing comprehensive manual and automated testing strategies, test plans, and release coordination protocols
• Hands-on expertise in designing and implementing scalable automation frameworks using tools like Selenium and TestNG, alongside cross-platform, cross-browser, and API testing (Postman, SoapUI)
• Strong proficiency in relational databases with the ability to write complex SQL queries for deep backend data verification and troubleshooting
• Proven experience in load/performance testing of APIs and microservices using JMeter (or LoadRunner), combined with familiarity with OWASP Top 10 risks and security scanning tools (OWASP ZAP, Burp Suite)
• Demonstrated hands-on experience in integrating AI-assisted testing tools (e.g., Lunor, LLMs) into QA workflows to optimize regression efforts and defect prioritization
• Exceptional communication and interpersonal skills, with a proven ability to manage stress, meet tight deadlines, and effectively mentor, coach, and develop team members

Benefits

• Competitive salary
• Fuel Card
• Health benefits
• Professional development opportunities
• Inclusive work culture & much more

How to Apply

• Apply online via the Workable portal
• Job Code: SP 016
• Last Date: 30 June 2026
• Pakistan Single Window, Karachi, Sindh, Pakistan

How to Prepare for This Role

1. Manager SQA I at PSW is a senior leadership position requiring 10-11+ years of SQA experience with a proven track record in team management. Interviewers will assess both your technical depth and your ability to define and own a QA strategy at the organizational level. Prepare to walk through a QA strategy you designed end to end, how you measured its impact, and how you mentored a QA team to deliver it consistently across product lines.
2. Test automation architecture is a core competency for this role. Be ready to demonstrate hands-on expertise with Selenium and TestNG, and to discuss how you have designed scalable automation frameworks from scratch. Prepare to explain framework structure decisions, how you achieved cross-platform and cross-browser coverage, and how you integrated Postman or SoapUI for API test automation within a CI/CD pipeline.
3. CI/CD integration of automated testing is explicitly required. Prepare examples of how you embedded automated test suites into DevOps pipelines, coordinated with development and infrastructure teams, and maintained testing velocity during continuous deployment cycles. Knowledge of how to structure smoke testing, regression gates, and post-release verification in a pipeline will be directly assessed.
4. SQL proficiency for backend data verification is a listed requirement. Be ready to write or explain complex queries used for data reconciliation and troubleshooting. Candidates who can demonstrate real diagnostic use of SQL in a QA context, not just basic SELECT statements, will stand out. Similarly, prepare load and performance testing examples using JMeter or LoadRunner against APIs and microservices.
5. Security testing knowledge is specifically called out. Review OWASP Top 10 risks and be ready to describe how you have used OWASP ZAP or Burp Suite in a testing workflow. Prepare specific examples of vulnerability assessments you contributed to and how findings were tracked through to resolution.
6. AI-assisted testing experience is an explicit differentiator for this role. Prepare to discuss how you have integrated tools such as Lunor or LLM-based approaches into QA workflows, specifically for test case generation, regression optimization, or defect prioritization. Candidates who can articulate practical AI application in a QA pipeline rather than just familiarity with the concept will have a significant advantage.