Design and implement AI inference and training cloud products optimized for Kubernetes, including autoscaling and distributed jobs across GPU fleets.
Write clean, efficient Go code for Kubernetes controllers, operators, and custom resources supporting AI workloads.
Build APIs, CLIs, and developer tools to simplify deployment, lifecycle management, and monitoring of AI applications.
Gcore is a global provider of infrastructure and software solutions for AI, cloud, network, and security, powering digital experiences worldwide. With 550+ professionals and 210+ edge locations, the company collaborates with partners like Intel, NVIDIA, and Equinix to build the foundation for an AI-driven world.
Author and maintain image definition files tracking upstream OSS releases and keeping our catalogue current across dozens of images.
Adapt upstream Helm charts (e.g., cert-manager, grafana, mongodb) to work with security-hardened images, handling security constraints and Kubernetes compatibility.
Write Go-based integration tests that validate images and charts behave correctly in real Kubernetes environments.
Docker is a leading developer tooling brand trusted by over 20 million monthly users and 20 billion container image pulls, providing products like Docker Desktop, Docker Hub, and Docker Scout. The company is a globally distributed, remote-first team with offices in Seattle and Paris, focused on building tools for software delivery.
Possess strong proficiency with Kubernetes, Helm, and containerized applications for robust platform deployment.
Deploy and manage UDS environments across AWS EKS, Azure AKS, and on-prem for government-backed vendors.
Serve as the primary technical interface for customers, providing guidance and troubleshooting on complex UDS issues.
Defense Unicorns delivers secure software solutions for continuous integration and delivery, focusing on mission-value for government customers. The team is composed of innovators, software engineers, and veterans with decades of experience across the federal market.
Lead forward-deployed engagements end to end, from scoping customer goals to production deployment of Stacklok's Enterprise platform.
Design and deliver changes to the platform's Kubernetes deployment, contributing fixes back to the product and unblocking enterprise adoption.
Act as technical SME for enterprise adoption, answering deep platform and Kubernetes questions while coaching teammates in your areas of expertise.
Stacklok is building the control plane for enterprise AI agents, enabling organizations to run, govern, and secure them on Kubernetes. The company is an early-stage startup founded by two of the creators of Kubernetes, with a strong open source focus.