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Join the Workload Availability team as a Software Engineer in Ecosystem Engineering. Your core mission is to safeguard the stability and availability of mission-critical workloads on our OpenShift by developing and integrating robust proactive and reactive remediation mechanisms. You will focus on the complex challenges of node health checking, automated fencing, and self-healing within the cluster, ensuring these critical availability features integrate seamlessly with the diverse ecosystem of third-party hardware, cloud platforms, and infrastructure providers.

What You Will Do

Maintain critical components, controllers, and operators (primarily in Go) responsible for detecting, diagnosing, and automating the recovery of unhealthy cluster nodes on OpenShift.

Become responsible for the quality of our offerings, participate in peer code reviews and continuous integration (CI), and software release process using Konflux CI/CD system.

Develop intelligent node mechanisms to accurately determine a node's operational status and trigger the appropriate self-healing or external remediation actions.

Contribute upstream to projects that focus on Kubernetes-native machine and node remediation to advance the platform's self-healing capabilities.

Troubleshoot and resolve complex cross-ecosystem availability and reliability failures, requiring deep debugging into kernel-level behavior, cloud infrastructure APIs, and Kubernetes control plane logic.

Proactively utilize AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) for code generation, auto-completion, and intelligent suggestions to accelerate development cycles and enhance code quality.

The Ecosystems Engineering group is seeking a Principal Software Engineer to join our rapidly growing team. This is a game-changing opportunity to join an open-source AI platform that harnesses the power of hybrid cloud to drive innovation. In this role, you will work with a diverse team of highly talented engineers on designing, implementing, and productizing new AI solutions, with a focus on deep integration of the AI stack, hardware accelerators, and leading OEMs and Cloud Computing Service Providers (CCSPs).

You'll play a critical role in shaping the next generation of hybrid cloud platforms by directly contributing to our innovative AI and Edge products. This is your chance to be at the forefront of AI's exciting evolution, joining an ecosystem that champions continuous learning, career growth, and professional development. You'll also collaborate closely with product management, other engineering teams, and key partners and lighthouse customers.

What You Will Do:

Architect and lead the implementation of new features and solutions for our AI and Edge products.

Explore deep code integration into various products, ensuring optimal integration between the company`s portfolio, hardware accelerators and partners.

Provide technical vision and leadership on critical and high-impact projects, ensuring non-functional requirements including security, resiliency, and maintainability are met.

Integrate software that leverages hardware accelerators (e.g., DPUs, GPUs, AIUs) and perform performance analysis and optimization of AI workloads with accelerators.

Work with major AI and hardware partners such as NVIDIA, AMD, Dell, and others on building joint integrations and products.

Collaborate closely with UX, UI, QE, and cross-functional teams to deliver a great experience to our partners and customers.

Coordinate with team leads, architects, and other engineers on the design and architecture of our offerings.

Become responsible for the quality of our offerings, participate in peer code reviews and continuous integration (CI), and respond to security threats.

Mentor, influence, and coach a distributed team of engineers, contributing to a culture of continuous improvement by sharing recommendations and technical knowledge.