Distributed Computing Platform Engineering Lead

Responsibilities

• Design and evolve the software platform used to deploy and operate distributed computing environments.
• Develop automation frameworks that enable reproducible deployment, configuration, and lifecycle management of infrastructure and services.
• Define engineering standards, workflows, and operational practices across multiple environments.
• Build and maintain provisioning pipelines for physical and virtual systems.
• Drive platform reliability, observability, and operational excellence across the entire stack.
• Collaborate with software, hardware, and product teams to integrate new technologies into the platform.
• Evaluate and introduce tooling that improves scalability, developer productivity, and operational efficiency.
• Contribute to reference architectures for distributed and heterogeneous computing systems.
• Lead technical investigations, proof‑of‑concepts, and platform validation activities.
• Mentor engineers and foster engineering best practices within the organization.
• Work closely with customers and partners during platform deployments and technical integrations.

• Degree in Computer Science, Computer Engineering, Information Technology, or a related technical discipline.
• Several years of experience designing and operating production infrastructure or platform environments.
• Strong Linux systems engineering background.
• Hands‑on experience with automation and Infrastructure as Code tools (Ansible, Terraform, or similar).
• Experience building and maintaining CI/CD pipelines and automated operational workflows.
• Familiarity with containerized environments and orchestration technologies such as Kubernetes.
• Solid understanding of networking, distributed systems, and infrastructure security principles.
• Experience operating physical or hybrid infrastructure environments.
• Ability to troubleshoot complex cross‑layer issues spanning hardware, operating systems, networking, and applications.
• Strong communication skills and the ability to collaborate across multidisciplinary teams.
• Comfortable working in a fast‑moving startup environment.
• Nice to have:
  Experience with high‑performance computing, AI infrastructure, or accelerated computing platforms.
• Familiarity with GPUs, FPGAs, or other specialized compute architectures.
• Experience with edge computing or distributed systems.
• Exposure to data center operations, infrastructure monitoring, or hardware integration.
• Cloud certifications or experience with public cloud environments.