Senior Software Engineer, Compute
San Francisco, CA, United States
About the Company
Help us build the world's most reliable, on-demand logistics engine for last-mile delivery! We're bringing on experienced engineers to help us create and maintain a 24x7, no downtime, global infrastructure system that powers DoorDash’s three-sided marketplace of consumers, merchants, and dashers.
About the Role
As a member of the Compute Team, you will build and operate a Kubernetes platform for running containerized workloads reliably and efficiently at scale. You will report to the Engineering Manager on the Compute Team in the Core Infrastructure organization.
You’re excited about this opportunity because you will…
Work with a fantastic bunch of highly talented and collaborative teammates and colleagues.
Architect, deploy, and oversee the operation of multiple highly available Kubernetes clusters.
Establish, enforce, and mentor team members on best practices for Kubernetes, including deployment patterns, cluster sizing and scaling, resource management, security policies, and high availability strategies
Develop and lead initiatives for monitoring, metrics, and automation solutions.
Collaborate with other teams to influence design for engineering excellence and drive cross-functional projects.
Design, develop, and deliver significant features and components to improve and enable service-to-service communication needs for all DoorDash teams in a secure, robust, and scalable way.
Provide technical leadership and guidance in a 100% Cloud Environment (AWS) and use tools and services like Argo Workflows, Argo CD, kOps, Prometheus, etc.
We’re excited about you because…
You have 5+ years of experience as a software engineer in infrastructure and/or platform teams, with a track record of technical leadership.
You have prior experience with modern infrastructure tooling, such as Kubernetes, as an administrator or operator in a production setting, e.g. container orchestration, cloud providers (AWS, GCP, etc.), and infrastructure-as-code tools.
You have strong development skills in Go, Python or other programming languages.
You have demonstrated experience in mentoring junior engineers and fostering a collaborative team environment.
Bonus points if you…
Have extensive experience designing, developing, operating, and debugging high-traffic production systems.
Have in-depth experience using AWS cloud services and optimizing their use for large-scale infrastructure.
Have a deep knowledge of Linux or similar operating systems and networking.
Are proactive and driven to understand the needs of your customers, delivering high-impact solutions.
Believe in providing valuable abstractions, clear customer SLOs, and meaningful KPIs, with a strategic mindset towards infrastructure development.
Have prior contributions to projects within the CNCF community and a strong presence in the open-source community.
Compensation
The location-specific base salary range for this position is listed below. Compensation in other geographies may vary.
Actual compensation within the pay range will be decided based on factors including, but not limited to, skills, prior relevant experience, and specific work location. For roles that are available to be filled remotely, base salary is localized according to employee work location. Please discuss your intended work location with your recruiter for more information.
DoorDash cares about you and your overall well-being, and that’s why we offer a comprehensive benefits package, for full-time employees, that includes healthcare benefits, a 401(k) plan including an employer match, short-term and long-term disability coverage, basic life insurance, wellbeing benefits, paid time off, paid parental leave, and several paid holidays, among others.
In addition to base salary, the compensation package for this role also includes opportunities for equity grants.
We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on June 20, 2024.
Please see the independent bias audit report covering our use of Covey here .
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