Join a dynamic engineering team focused on developing scalable cloud infrastructure software that supports cutting-edge AI supercomputing platforms.
Collaborate with cross-functional teams, including architects, frontend engineers, and site reliability engineers, to deliver innovative solutions on Kubernetes.
Own your code from development through production, working on sophisticated distributed systems that power large-scale AI services in the cloud.
The environment promotes collaboration, continuous learning, and a cloud-native approach to software engineering.
Design, develop, and maintain software systems supporting large-scale cloud infrastructure deployments.
Create and implement APIs that enable Infrastructure as Code (IaC) automation and deployment workflows.
Contribute to multiple source code projects aligned with platform requirements and deliver high-quality software services.
Collaborate with engineering managers, architects, and frontend engineers to ensure seamless integration and product excellence.
Automate software validation through unit and integration tests, ensuring robust and reliable releases.
Own the health and maintenance of CI/CD pipelines from development to production environments.
Engage with cross-functional teams to gather feedback on design and product direction in a collaborative, no-blame culture.
Requirements:
A Bachelor’s degree in Computer Science, Information Systems, Computer Engineering, or equivalent experience is required.
A minimum of 5 years of experience in large-scale software development is necessary.
Proven experience building and deploying services on Kubernetes is essential.
Familiarity with open-source contributions and cloud service support at scale is required.
Proficiency in programming languages such as Golang or Python is necessary.
Strong communication skills to articulate design and quality strategies across various formats are required.
Experience with modern infrastructure tools and cloud technologies is essential.
Benefits:
Competitive salary range depending on level and experience, between $148,000 - $287,500 USD.
Eligibility for equity participation and comprehensive benefits is provided.
A collaborative, innovative work environment fostering professional growth is offered.
Opportunities to work with cutting-edge AI and cloud-native technologies are available.
Flexible work arrangements and support for work-life balance are provided.
An inclusive workplace dedicated to diversity, equity, and equal opportunity is promoted.