About The RoleWe are looking for a skilled software engineer with a strong foundation in infrastructure to play a key role in ensuring our platform is scalable, reliable, and capable of supporting complex network topologies. AI infrastructure cuts across many verticals, and we're looking for curious and creative minds who are determined problem solvers and thrive in fast-paced, high-ownership environments.
What We're Looking For- 5+ years of experience in a DevOps, SRE, or platform engineering role
- 3+ years of software engineering experience in at least one programming language such as Java, Go or Python
- 5+ years of experience with development or infrastructure as code tools, including but not limited to Terraform and Helm
- 5+ years of experience designing, maintaining, optimizing, and supporting Kubernetes
- 3+ years of experience working in public cloud environments (e.g. GCP, AWS, Azure)
- Deep understanding of Cloud Native technologies in Infrastructure layer, Provisioning layer, Runtime layer, Orchestration layer and Application development layer
- Expert knowledge of configuration and best practices around Kubernetes as well as related services like DNS, load balancing, networking, etc.
- Advanced trouble shooting capabilities of Kubernetes and associated services
- 5+ years of experience with CI/CD pipelines and build tools such as Github Actions, Circle, Argo etc
- Experience with various observability tools such as Prometheus, Grafana, Thanos, etc
- Experience with cloud networking technologies (VPC, API Gateway, multi & hybrid cloud networking)
Nice To Have- Experience working with AI/ML tools and products, with an understanding of the capabilities and limitations of the technologies
- AWS / GCP / Azure certifications
Compensation$145,000 - $220,000 + Equity
Applicant must be a U.S. citizen for this role. This is a full-time, in-person position based at our New York City office.
