Test Manager, Engineering (Austin, TX)

Celestica International LP • Austin, TX

85d

About The Position

We are seeking an experienced Test Manager, Engineering to lead a team of QA engineers responsible for testing our next-generation AI datacenter products. This role involves overseeing the entire testing lifecycle, from planning and execution to reporting and defect management. The ideal candidate will have a strong background in hardware and software testing, a deep understanding of AI/ML workflows, and a proven track record of managing and mentoring high-performing teams. You'll be the bridge between technical teams and product managers, ensuring the quality and reliability of our cutting-edge AI hardware solutions

Requirements

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, Network Engineering, or a related technical field.
• 5+ years of experience in Networking/Server/Storage quality assurance role.
• 3+ years of experience directly managing and mentoring a team of QA or test engineers.
• Proven track record of building and managing high-performing teams, including hiring, performance management, and career development.
• Exceptional communication and interpersonal skills, with the ability to influence and collaborate effectively with engineers, product managers, and senior leadership.
• Strong leadership qualities with a focus on empathy, psychological safety, and creating a positive team culture.
• Practical experience with test automation concepts and how to guide a team in its implementation.
• Solid understanding of the software and hardware development lifecycle, with a focus on quality assurance methodologies.
• Bachelor's degree in Computer Science, Electrical Engineering, or a related technical field.
• Proficiency in at least one scripting language (e.g., Python, Bash) for test automation.
• Experience with Linux/Unix operating systems and command-line tools.
• Experience with defect tracking systems (e.g., Jira, Azure DevOps) and version control (e.g., Git).
• Testing Methodologies: Deep understanding of various software development lifecycles and associated quality assurance methodologies (e.g., Agile, Scrum, Kanban, Waterfall).
• Hardware & Software QA: Comprehensive knowledge of testing principles for both physical hardware and embedded software, including unit, integration, system, performance, and stress testing.
• Datacenter Infrastructure: Understanding of datacenter environments, including server hardware, networking, storage technologies, and power/cooling considerations.
• Test Automation & Scripting: In-depth knowledge of test automation frameworks, CI/CD pipelines, and scripting languages like Python or Bash.
• Defect & Project Management: Expertise in using defect tracking systems (e.g., Jira, Bugzilla) and project management tools to manage test cases, track progress, and report on quality metrics.
• Team Leadership: The ability to effectively lead, mentor, and motivate a team of test engineers, fostering a culture of continuous improvement and professional growth.
• Strategic Planning: Skilled in developing and executing comprehensive test strategies and plans that align with product development milestones and business objectives.
• Problem-Solving: Strong analytical skills to diagnose complex hardware and software issues, perform root cause analysis, and work with engineering teams to find solutions.
• Communication: Exceptional verbal and written communication skills to articulate test results, risks, and technical concepts to both technical and non-technical stakeholders.
• Stakeholder Management: The capacity to build and maintain strong relationships with product managers, developers, and senior leadership, ensuring alignment on quality goals.
• Test Automation Development: Practical scripting skills to review and contribute to test automation frameworks, ensuring test coverage and efficiency.
• Decision-Making: The ability to make sound, data-driven decisions under pressure, particularly when balancing quality, time, and resources.
• Empathy & Emotional Intelligence: The capacity to understand and manage one's own emotions and to understand the emotions of others, which is crucial for effective team management.
• Collaboration: A strong collaborative spirit, working effectively with cross-functional teams to ensure product quality from the earliest stages of development.
• Accountability: Taking ownership of the team's successes and failures, and being accountable for the overall quality of the product.

Nice To Haves

• Experience with orchestration platforms.
• Experience with ESXi
• Familiarity with cloud networking concepts (AWS, Azure, GCP).
• Knowledge of network security principles and testing.
• Relevant industry certifications (e.g. CCNP Data Center, Linux Foundation Certified Engineer, Mellanox certifications).

Responsibilities

• Overseeing the entire testing lifecycle, from planning and execution to reporting and defect management.
• Leading a team of QA engineers.
• Ensuring the quality and reliability of AI hardware solutions.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Number of Employees: 5,001-10,000 employees