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

• Lead by example in the development process for the Agensys project and shape its technical direction. • Mentor junior developers and provide coaching to help them grow professionally. • Design software architecture leveraging AI, AI Agents, distributed systems, APIs, and AI-native architectures. • Engage with open source communities to cultivate relationships and champion adoption of the software. • Collaborate with internal development teams to integrate open source contributions into products and services. • Ensure high code quality, testing, documentation, and long-term maintainability of open source contributions.

🎯 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 API architecture and resource model. • Expertise with Cluster API for provisioning, upgrading, and operating multiple Kubernetes clusters. • Familiarity with CNI plugins (OpenSDN/Tungsten Fabric/Contrail, Calico, Cilium (eBPF/XDP)). • Understanding of CSI drivers and storage orchestration, particularly with Ceph. • Experience with monitoring and observability tools (preferably Prometheus and Grafana). • Strong interpersonal, communication and collaboration skills. • 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). • Polyglot with little or no bias for specific programming languages (highly desirable).

🏖️ Benefits

• Work with an established Silicon Valley leader in the cloud infrastructure industry. • Work with exceptionally passionate, talented and engaging colleagues, helping Fortune 500 and Global 2000 customers implement next-generation cloud technologies. • Be a part of cutting-edge, open-source innovation. • Thrive in the high-energy environment of a young company where openness, collaboration, risk-taking, and continuous growth are valued. • Professional development and training. • Attend conferences and working groups. • Customized workstation (macOS, Windows). • A competitive compensation package with strong benefits plan and stock options.