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 and provide coaching to help them grow professionally. • Lead software architecture decisions for AI, AI Agents, distributed systems, APIs, and AI-native architectures. • Engage with open source communities to cultivate relationships and champion adoption of Agensys software. • Collaborate with internal development teams to integrate open source contributions into products and services. • Maintain code quality standards, including testing, documentation, and long-term maintainability. • Shape the direction of the Agensys project and contribute to development and design of agentic infrastructure.

🎯 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 (parallel computing, event-based distributed systems, GPU clusters, agentic workflows). • Deep experience with all forms of APIs. • Experience with 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 and operating multiple Kubernetes clusters. • Familiarity with CNI plugins (OpenSDN/Tungsten Fabric/Contrail, Calico, Cilium) and CSI drivers, particularly Ceph. • Experience with telemetry, monitoring, and observability tools (Prometheus, Grafana). • Strong interpersonal, communication and collaboration skills. • Participation in open source projects as a contributor or maintainer (highly desirable). • 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, serverless AI functions) (highly desirable). • Polyglot programming ability with little or no bias for specific languages.

🏖️ Benefits

• Professional development and training • Attend conferences and working groups • Customized workstation (macOS, Windows) • A competitive compensation package with strong benefits plan • Stock options • Remote work flexibility