Senior SQA Automation Analyst

Contour Software, a subsidiary of Constellation Software Inc., has rapidly expanded from a small team to over 2,000 employees across three cities in under 14 years. As part of a global software conglomerate operating in over 100 countries, Contour offers a dynamic environment for professionals to build long-term careers. The company has evolved from an R&D and accounting back-office into a full-service global center supporting various functions across divisions worldwide. With teams based in Karachi, Lahore, and Islamabad, Contour serves clients across multiple time zones, from Sydney to Vancouver.

We are currently seeking an experienced Senior SQA Automation Analyst to enhance and mature our test automation capabilities for a complex, highly configurable SaaS platform. The role focuses on accelerating Playwright automation adoption, improving regression coverage, strengthening CI/CD quality gates, and supporting AI-assisted testing initiatives. The successful candidate will collaborate closely with Product Managers, Developers, Architects, DevOps, and QA teams to improve quality processes and reduce defect leakage. This position is based in our Lahore office, working as part of the division’s R&D team.

Key Responsibilities

- Define and evolve quality engineering frameworks encompassing functional, API, integration, contract, end-to-end, performance, resilience, accessibility, security, and data quality testing.
- Select appropriate testing methods based on business risk, system behavior, feedback speed, and maintenance cost.
- Develop reusable automation components, test data utilities, reporting tools, and reference implementations.
- Establish reliable approaches for test environments, synthetic data management, setup, cleanup, and repeatable execution.
- Evaluate frameworks and tools through pilots considering effectiveness, maintainability, integration, scalability, and cost.
- Embed quality practices throughout the AI-driven development lifecycle, partnering with Product and Engineering teams to translate business intent into clear acceptance criteria and verifiable outcomes.
- Identify ambiguities, missing scenarios, integration risks, and nonfunctional requirements early in the development process.
- Establish verification practices for both human- and AI-generated code, tests, and technical artifacts, maintaining traceability between requirements, risks, and release decisions.
- Apply AI to test design, automation development, exploratory testing, failure investigation, refactoring, and documentation while critically reviewing AI-generated outputs.
- Integrate automated validation into developer workflows and CI/CD pipelines, defining quality gates based on change risk and business criticality.
- Improve test reliability, execution time, failure diagnostics, and distinguish product defects from environmental or infrastructure failures.
- Prioritize verification of business-critical workflows and use production data to refine quality priorities.
- Establish practical standards, reusable assets, and provide technical advisory support to teams.
- Coach developers and QA engineers in test design, automation, AI-assisted verification, and failure analysis.
- Facilitate knowledge sharing and promote ownership of quality within everyday engineering work.

Required Qualifications

- Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related field.
- Minimum of 8 years of professional QA experience with strong hands-on expertise in AI and automation.
- Extensive experience in software quality engineering, including automation architecture and technical advisory roles.
- Deep understanding of quality frameworks, testing methodologies, test design techniques, and risk-based testing.
- Proficient programming and debugging skills with experience building maintainable automation and reusable components.
- Practical expertise in API and integration testing, test data management, and complex workflow verification.
- Experience integrating automated validation into CI/CD pipelines and enhancing feedback reliability.
- Ability to work across diverse technology stacks, product architectures, and engineering maturity levels.
- Familiarity with AI-assisted engineering tools and critical evaluation of their outputs.
- Strong communication, collaboration, and coaching skills across geographically distributed teams.

Preferred Qualifications and Benefits

- Experience establishing or advancing a Quality Center of Excellence.
- Background in testing configurable SaaS platforms, including commerce, payments, subscriptions, POS, or logistics workflows.
- Knowledge of performance, resilience, accessibility, security, or observability testing practices.
- Experience evaluating AI-enabled products, retrieval-augmented generation, or agentic workflows.
- Proven ability to modernize quality practices across both established and evolving systems.

Benefits include a competitive salary, comprehensive medical coverage for employees and dependents (including parents), provident fund, performance-based bonuses, home internet subsidy, conveyance allowance, profit-sharing plan for tenured employees, life benefits, child care facilities, company-provided meals, professional development budget, recreational areas, occasional on-shore training opportunities, a friendly work environment, and leave encashment.

Contour is committed to fostering a diverse and inclusive workplace where every individual is respected and valued. We provide reasonable accommodations for individuals with special needs and encourage qualified candidates from all backgrounds to apply.