5+ years in DevOps, SRE, or platform engineering roles
3+ years software engineering experience in Java, Go, or Python
5+ years with Infrastructure as Code tools like Terraform and Helm
5+ years managing, optimizing, and supporting Kubernetes
3+ years in public cloud environments (GCP, AWS, Azure)
Deep knowledge of Cloud Native technologies across multiple layers
Expertise in Kubernetes best practices and related services
5+ years experience with CI/CD pipelines and tools like GitHub Actions
Familiar with observability tools (Prometheus, Grafana, etc.)
Experience with cloud networking technologies (VPC, API Gateway)
Responsibilities
Ensure platform scalability, reliability, and support for complex network topologies
Collaborate with team members across engineering, research, and product to drive solutions
Develop and maintain robust infrastructure practices including CI/CD
Optimize configuration and operation of Kubernetes clusters
Guide the team in troubleshooting Kubernetes and associated services
Implement best practices for infrastructure as code
Contribute to the design and execution of innovative AI-native solutions
Benefits
Encouragement for applicants from diverse backgrounds
Opportunities for personal and professional growth
A commitment to employee equity and inclusion
Potential for career advancement in a flat-structured team
Flexible working environment with the freedom to express individuality
Full Job Description
About The Role
We 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.
