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Software Development Manager in IT & DevOps Department
in GoDaddy - United States, Tempe, Arizona

Remote
Full-time
Senior
Permanent

Job description

See job offer description.


Join GoDaddy’s GoCaaS team to lead and develop a high-performing engineering team responsible for delivering critical AI platform capabilities supporting generative AI initiatives. This role involves mentoring engineers, driving platform excellence with a focus on reliability, scalability, and developer experience, and partnering with cross-functional teams to define and execute the GoCaaS roadmap and strategic initiatives. You will champion engineering best practices including CI/CD, observability, and secure software development. Collaboration with enterprise teams on security, data, and infrastructure is essential to deliver enterprise-grade AI solutions that foster technical excellence and experimentation. Candidates should have 6+ years of software engineering experience including 2+ years in management or tech lead roles, strong cloud infrastructure knowledge (AWS, GCP, or Azure), hands-on programming skills in Python, Go, or Node.js, and experience with CI/CD and observability. Additional experience with AI/ML infrastructure, container orchestration technologies (Kubernetes, Docker), and security/privacy frameworks is advantageous. The role supports a remote work model with occasional office visits and is part of a diverse, inclusive culture valuing equity and belonging. Benefits include paid time off, retirement savings plans, bonus eligibility, equity grants, health benefits, parental leave, and employee stock purchase plans. GoDaddy embraces diversity and is an equal opportunity employer, supporting candidates with diverse backgrounds and experiences.

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Benefits

  • Paid time off
  • Retirement savings (401k, pension schemes)
  • Bonus/incentive eligibility
  • Equity grants
  • Employee stock purchase plan
  • Competitive health benefits
  • Parental leave
  • Employee Resource Groups

Job requirements

  • 6+ years software engineering experience
  • 2+ years engineering management or tech lead roles
  • Leadership of backend/platform teams delivering production-scale services
  • Strong cloud infrastructure knowledge (AWS, GCP, Azure)
  • Programming skills in Python, Go, or Node.js
  • CI/CD and observability experience
  • Leadership and project management abilities
  • AI/ML infrastructure experience (preferred)
  • Container orchestration experience (Kubernetes, Docker)
  • Security and privacy frameworks knowledge