Senior Staff Software Engineer
About Checkr
Checkr is building the data platform to power safe and fair decisions. Over 140,000 companies and millions of people rely on Checkr for AI verification in the moments that matter most: getting a new job, a new place to live, a car ride, childcare, even a date. Customers include Uber, Pennymac, Airbnb, Doordash, Amazon, and Anthropic.
Established in 2014 and valued at $5B, Checkr is using technology to bring hiring to the next level. Our People Trust Platform uses machine learning to help thousands of companies modernize their background check process and make hiring safer, more efficient, and more inclusive. Some of our customers include Uber, Instacart, DoorDash, Netflix, Compass Group, and Adecco.
What you'll do
- Proactively identify the top opportunities for impact for the engineering organization
- Own direction and lead execution of organization-wide technical efforts
- Hands-on contribution in areas with a high degree of business risk
- Break down very complex projects into simple systems that can be effectively built and maintained by less experienced engineers
- Create documents to set standards of architectural best practices that the broader engineering organization consumes
- Upskill the Staff Engineers in the company to systematically raise the bar for quality and scale
- Inform buy vs build decisions, supporting broad business strategy
- Deeply understand customer, partner, and product team needs, and represent your teams in technical conversations with company leadership
What you bring
- Degree in computer science or related field (Bachelor's or Master's)
- 2+ years leading architecture projects across an organization
- 5+ years of experience in a leadership role
- 15+ years of experience as a software engineer
- Experience developing in Ruby, GoLang, and Python
- Solid understanding of cloud technologies and all layers of backend stacks
- Deep understanding of microservices design and asynchronous queueing models
- Experience designing and maintaining real-time & batch processing data pipelines serving up billions of data points
- Experience mentoring engineering and product teams in domain-driven design
- Experience leading and influencing cross-functional teams
- Strong collaboration, communication, and project management skills
- A strong sense of ownership
- A great desire to learn, collaborate, improve, and innovate
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Pay Transparency Disclosure
We use geographic cost of labor as an input to develop ranges for our roles and as such, each location where we hire may have a different range. If this role is remote, we have listed the top to the bottom of the possible range, but we will specify the target range for an exact location when you are selected for a recruiting discussion. For more information on our compensation philosophy, see our website.
On-target Earnings OR Base Salary range (San Francisco, CA)
$257,000 - $302,000 USD
What We Offer
- A fast-paced and collaborative environment
- Learning and development allowance
- Competitive cash and equity compensation, and opportunity for advancement
- 100% medical, dental, and vision coverage
- Up to $25K reimbursement for fertility, adoption, and parental planning services
- Flexible PTO policy
- Monthly wellness stipend
At Checkr
We believe an in office work environment strengthens collaboration, drives innovation, and encourages connection. Our hub locations are Denver, CO; San Francisco, CA; Nashville, TN; and Santiago, Chile. Individuals are expected to work from the office 3+ days a week. In-office perks are provided, such as lunch five times a week, a commuter stipend, and an abundance of snacks and beverages. A relocation stipend may be available for those willing to relocate to a Checkr hub location.
Equal Employment Opportunities at Checkr
Checkr is committed to building the best product and company, which requires hiring talented and qualified individuals with a diverse set of perspectives and lived experiences. Checkr believes in hiring people of all backgrounds, including those whose histories are impacted by the justice system in accordance with local, state, and/or federal laws, including the San Francisco’s Fair Chance Ordinance.
Applicant Privacy Policy
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