Senior Agentic Infrastructure Engineer

September 6

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Mirantis

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Cloud Computing • Enterprise • SaaS

Mirantis is a company that specializes in container management and cloud infrastructure solutions. It offers a range of products, including Mirantis Kubernetes Engine (MKE), Mirantis OpenStack for Kubernetes (MOSK), and Mirantis Container Cloud (MCC), which provide enterprise-level Kubernetes and container management platforms. Mirantis also develops tools for secure software supply chains, such as the Mirantis Container Runtime (MCR) and Mirantis Secure Registry (MSR). As an advocate for open source technologies, Mirantis supports various projects and provides resources like Lens Desktop, a popular Kubernetes IDE, and technical support for enterprises adopting cloud-native technologies. Their solutions cater to sectors such as public services, financial services, and broader SaaS and technology services industries.

501 - 1000 employees

🏢 Enterprise

☁️ SaaS

📋 Description

• Mentor junior developers, sharing expertise and experience to help them grow professionally. • Leverage expertise in AI, AI Agents, distributed systems, APIs, and AI-native architectures to make decisions on code and systems architectures. • Actively engage with open source communities to cultivate relationships, address technical challenges, and champion adoption of software solutions. • Partner with internal development teams to ensure seamless integration of open source contributions into products and services. • Maintain exemplary standards for all open source contributions, ensuring adherence to best practices in testing, documentation, and long-term maintainability.

🎯 Requirements

• 5+ years in software development with significant experience in Python, Golang, and/or Rust. • Passion to thrive in a fast-paced, fluid environment. • Excellent problem-solving skills and ability to troubleshoot complex issues. • Experience and understanding of how to leverage AI-powered co-development tools such as Cursor IDE, Claude Code, Cline, Aider.Chat or similar. • Strong understanding of open source best practices, including code quality, testing, and documentation. • Deep understanding of scale-out AI-native architectures such as parallel computing (e.g., goroutines), event-based distributed systems, GPU clusters, and agentic workflows. • Deep experience with all forms of APIs. • Utilize Docker and Kubernetes for deploying, managing, and scaling microservices. • In-depth knowledge of Kubernetes, including: overall Kubernetes API architecture and resource model; Cluster API; CNI plugins like OpenSDN/Tungsten Fabric/Contrail, Calico, Cilium (eBPF/XDP); CSI drivers, particularly with Ceph; telemetry with Prometheus and Grafana. • Strong interpersonal, communication and collaboration skills. • Exceptional problem-solving capabilities with proven ability to diagnose and resolve complex technical issues. • Participation in open source projects as a contributor or maintainer (highly desirable). • Extensive experience developing Kubernetes operators and leveraging Kubernetes client libraries (highly desirable). • Comprehensive understanding of AI infrastructure components: inference systems, Agentic workflows, autonomous AI agents, Model Context Protocol (MCP), serverless AI functions (highly desirable).

🏖️ Benefits

• Work with an established Silicon Valley leader in the cloud infrastructure industry. • Be a part of cutting-edge, open-source innovation. • Professional development and training. • Attend conferences and working groups. • Customized workstation (macOS, Windows). • A competitive compensation package with strong benefits plan and stock options.