Senior Consultant - Quality Engineering

Senior Consultant – Quality Engineering

Job Summary

The Senior Consultant – Quality Engineering designs and delivers scalable, secure, and maintainable quality engineering solutions that drive measurable business outcomes. This includes supporting test strategy definition; establishing traceability, defect management, and reporting; developing test plans; and implementing automation where it adds the most value. This role is hands-on, technical, and client-facing—partnering with stakeholders to lead QE delivery for a workstream, facilitate technical discussions, mentor peers, and align execution to the overall QE strategy and governance set for the engagement. 

Job Highlights: 

• Our technology focus is on Azure – you’ll have plenty of exciting opportunities to grow your skills in Microsoft and Azure in an environment committed to technical excellence and client experience in a very specific, defined space.  
• Microsoft Partnerships – Our great global relationship with Microsoft ensures that we have a pipeline of cutting-edge Azure work opportunities, and access to the teams that have built the platform. You won’t find this at other places. 
• Great working environment and company culture with flexible work location. 

Key Responsibilities: 

• Lead or support discovery and requirements analysis to translate business goals into testable acceptance criteria, QE scope, and an executable test approach. 
• Implement the end-to-end QE strategy and quality architecture for a workstream across functional and non-functional needs (e.g., reliability, performance, security, data quality); contribute to governance/standards and documentation and escalate gaps/risks with recommended improvements. 
• Design, build, and maintain scalable automation solutions (UI/API/data as applicable), selecting appropriate tools and frameworks and ensuring maintainability and reusability. 
• Integrate testing into CI/CD and delivery workflows to improve release confidence (e.g., automation in pipelines, quality gates, environments, and test data strategy). 
• Execute and guide testing (automation-first with targeted manual testing when needed), ensuring coverage, traceability, and actionable defect management and triage. 
• Own workstream-level QE planning and execution management, including estimation, sequencing, dependencies, and day-to-day coordination with product/engineering to meet delivery milestones. 
• Establish and run a workstream quality cadence (dashboards/status, defect triage, root-cause themes), ensuring risks and release readiness are visible early and decisions are data-informed. 
• Communicate quality status, risks, and tradeoffs to client and internal stakeholders; recommend course-corrections to scope, plan, or approach based on data and outcomes. 
• Mentor and coach engineers/consultants through pairing, feedback, and day-to-day technical leadership; model strong engineering practices and help the team adopt consistent QE ways of working. 
• Contribute to QE practice development by sharing patterns, improving accelerators, and promoting a quality-first culture across engagements. 

Qualifications: 

• Bachelor’s degree in computer science (or equivalent practical experience). 
• 6+ years in quality engineering / test automation with hands-on expertise in QE procedures, programming languages, and test management tools. 
• Consulting and client-facing experience, including partnering with stakeholders and aligning quality work to business outcomes. 
• Solid experience in quality methodologies, test planning, automation, and quality engineering practices (including traceability, defect management, and reporting). 
• Hands-on experience designing and building automation solutions using tools such as Playwright, Selenium, or equivalent frameworks. 
• Strong programming skills in C#, Java, Python, or similar languages with the ability to write maintainable test code. 
• Performance and load testing experience and familiarity with related tooling (e.g., JMeter, Azure Load test, Locust, k6, Gatling). 
• Data quality and data platform testing experience (ETL/ELT pipelines, analytics validation); Databricks / Microsoft Fabric preferred. 
• AI/ML/LLM testing experience (prompt/output evaluation, regression approaches, model behavior risks/metrics) and/or AI-assisted QE techniques (test generation, flaky test triage, test data generation). 
• Demonstrated ability to design and deliver maintainable, scalable testing solutions that align with business objectives. 
• Experience with API testing and integrating automated tests into CI/CD pipelines; familiarity with Agile delivery and defect/requirements processes. 
• Demonstrated ability to apply emerging tools/techniques (including AI-assisted QE where appropriate) to improve speed, reliability, and insight in testing. 
• Strong communication and collaboration skills, with the ability to explain quality risk, status, and recommendations to both technical and non-technical stakeholders in cross-functional teams. 
• Proven ability to mentor others through technical guidance, actionable feedback, and knowledge sharing. 
• Certification in relevant technologies is a plus. 
  

Don’t meet every single requirement? At 3Cloud we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway.
At this time, we cannot sponsor applicants for work visas.