Staff Software Engineer – Backend

Webhosting; Northern (KY); Hybrid; USD 140,000 - 210,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) retirement plan

Paid time off

Job summary

GoDaddy is seeking a Staff Software Engineer to lead the design and evolution of the infrastructure, platforms, and services that enable machine learning models to run in production. This is a highly technical, hands‑on role where you’ll work closely with ML Scientists, Data Engineers, and Product teams to deliver robust ML‑powered solutions at scale.

You will mentor engineers across a globally distributed team and drive architectural direction and engineering excellence.

Responsibilities

• Lead the design and evolution of infrastructure, platforms, and services for production ML models.
• Collaborate with ML Scientists, Data Engineers, and Product teams to deliver robust ML-powered solutions at global scale.
• Mentor engineers across a globally distributed team and drive engineering excellence.

Job description

At GoDaddy the future of work looks different for each team. Some teams work in the office full-time, others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.

This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings.

This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands.

GoDaddy is not currently considering candidates for this role in California, Seattle, or NYC.

At GoDaddy, we’re building the next generation of AI and machine learning capabilities that power experiences for millions of entrepreneurs worldwide. Our Machine Learning Engineering team bridges the gap between research and production, transforming cutting-edge models into scalable, reliable, and observable services that operate at global scale.

We’re looking for a Staff Software Engineer to lead the design and evolution of the infrastructure, platforms, and services that enable machine learning models to run in production. This is a highly technical, hands‑on role where you’ll work closely with ML Scientists, Data Engineers, and Product teams to deliver robust ML‑powered solutions while helping shape the future of our machine learning platform.

As a senior technical leader, you’ll influence architecture, drive engineering excellence, and mentor engineers across a globally distributed team.

Colorado Residents:In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

GoDaddy doesn’t accept unsolicited resumes from recruiters or employment agencies.

Working at GoDaddy offers many benefits, including competitive pay, generous time off, parental and wellness leave, healthcare, retirement savings program, and much more. Offerings vary by location.

This role is eligible for a comprehensive benefits package, which includes medical, dental, and vision insurance, a 401(k)-retirement plan, paid sick time, paid flexible time off, paid parental leave, life insurance, short- and long-term disability, AD&D insurance, mental health or EAP programs, remote or hybrid work options, paid holidays, paid Wellness days, tuition assistance, adoption, surrogacy, and fertility benefits, dependent daycare and backup care benefits, Employee stock purchase plan, financial education and advice; and other benefits in accordance with GoDaddy’s benefit plans and applicable law.

Actual compensation and benefits eligibility will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.

Compensation:

The estimated pay ranges for this role are listed below. In addition to base pay, this role may be eligible for other forms of compensation, which may include a corporate bonus and/or equity awards, subject to the terms of applicable plans and individual eligibility.

Bay Area (Santa Clara, San Francisco) and Los Angeles:$182,000-$273,000 USD
Austin, D.C. Metro, CA (non-Bay Area), HI, IL, MA, NH, OR, VA, WA:$157,000-$235,000 USD
New York City Metro, Kirkland/Seattle:$166,800-$250,200 USD
All other US locations not previously listed:$140,000-$210,000 USD