Senior Software Engineer - Cloud

Lambda's GPU cloud is used by deep learning engineers at Stanford, Berkeley, and MIT. Lambda's on-prem systems power research and engineering at Intel, Microsoft, Kaiser Permanente, major universities, and the Department of Defense. If you'd like to build the world's best deep learning cloud, join us.  What You’ll Do Design, implement, and manage deployment of highly available services Lead the implementation of a CI/CD pipeline for existing repositories Contribute to design, implementation, testing, and documentation of orchestration and other services supporting Lambda Cloud Contribute to major cloud features that enable our customers to easily run large-scale AI research projects Develop and maintain tools for automation, deployment, monitoring, and operations of our cloud infrastructure Collaborate with cross-functional teams to design and implement reliable, scalable, and efficient cloud architectures Develop and maintain the infrastructure as code, including the design and implementation of automated infrastructure deployment and configuration management Provide guidance and support to development teams in the implementation of DevOps best practices Participate in building orchestration software within our data centers for launching/terminating VMs, networking, and attaching storage Ensure correctness of software through high quality automated testing and setting standards for other developers Stay current with emerging trends and technologies related to DevOps, cloud computing, and infrastructure automation You Value working on a team that emphasizes strong communication, collaboration, and autonomy Strong engineering background - EECS preferred, Mathematics, Software Engineering, Physics 5+ years of experience in DevOps or related field Experience with the implementation of CI/CD pipelines for existing repositories using tools like Github Actions or Buildkite Strong experience with infrastructure as code (IaC) and related tools such as Ansible, CloudFormation or Terraform Proficient in one or more programming languages such as Python, Java, or Go Familiarity with cloud computing platforms such as AWS, GCP, or Azure and experience deploying a web application on a major cloud platform Experience with containerization technologies such as Docker or Kubernetes Nice to Have Experience working at a start-up Experience in a leadership role, with the ability to lead and mentor junior team members Have experience developing major features from conception to production using a Python web application Experience integrating with storage systems, data center networking, virtualization Experience in the machine learning or computer hardware industry About Lambda We offer generous cash & equity compensation Investors include Gradient Ventures, Google’s AI-focused venture fund We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG We have a wildly talented team of 115, and growing fast Our remote workforce, based on role, is across the U.S., with headquarters in San Francisco Health, dental, and vision coverage for you and your dependents Commuter/Work from home stipends 401k Plan Flexible Paid Time Off Plan that we all actually use Salary Range Information  Based on market data and other factors, the salary range for this position is $178,000 - $230,000 . However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.  A Final Note: You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills. Equal Opportunity Employer Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.