Manager, Software QA Engineering & Reliability

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Manager, Software QA Engineering & Reliability in the United States.

This role leads the quality engineering function for enterprise software, focusing on automation-first practices, observability-driven insights, and reliable release delivery. You will oversee a team of QA engineers, SDETs, and automation architects while shaping the long-term QA strategy across UI, API, performance, and integration testing. The position emphasizes building robust CI/CD pipelines, driving data-informed quality decisions, and collaborating with cross-functional teams to improve product reliability and customer experience. You will influence technical design, implement systemic quality improvements, and mentor your team to foster a culture of engineering excellence. This role is ideal for someone who combines hands-on technical expertise with leadership skills to deliver predictable, low-defect software at scale.

Accountabilities

• Define and execute the long-term Quality Engineering vision, aligned with product and engineering objectives
• Lead and grow a team of QA engineers, SDETs, and automation architects, fostering accountability, innovation, and continuous learning
• Drive an automation-first culture, embedding test automation into CI/CD pipelines and development workflows
• Oversee performance testing, security validation, observability practices, and production readiness initiatives
• Implement and enhance observability using logs, metrics, traces, and synthetic monitoring to improve incident detection and reliability
• Build and present actionable quality metrics (automation coverage, escaped defects, release reliability, regression stability, performance SLAs) to guide decision-making
• Strengthen release governance with quality gates, risk-based testing, and end-to-end release validations
• Collaborate cross-functionally with Engineering, Product, UX, DevOps, and Support to embed quality early in the development lifecycle
  
  

Requirements

• 7–10+ years of experience in Quality Engineering, including 2–5 years leading teams
• Deep expertise in test automation frameworks, CI/CD pipelines, and cloud-based SaaS delivery
• Hands-on experience with performance testing tools (e.g., JMeter, K6) and observability platforms (e.g., Datadog, Grafana)
• Strong command of quality metrics, reporting, and KPI-driven decision-making
• Experience in defining and executing QA strategies for large-scale software systems
• Excellent communication, stakeholder management, and team leadership skills
• Ability to implement systemic improvements to processes, tools, and automation strategy
  
  

Benefits

• Competitive base pay ($130,000—$173,333 USD for U.S. candidates, depending on experience)
• Variable compensation opportunities (bonus programs based on individual and company performance)
• Comprehensive medical, dental, vision, disability, and life insurance
• 401(k) retirement savings plan with company match
• Employee stock purchase plan
• Paid parental leave, PTO, and company holidays
• Flexible work arrangements including hybrid options
• Access to professional development, wellness programs, and continuous learning opportunities
  
  

Why Apply Through Jobgether?

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.