Senior Infrastructure Engineer
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Job Description
Join Mirantis as a Senior Agentic Infrastructure Engineer focusing on Kubernetes-driven AI infrastructure. Lead development, mentor junior developers, and engage with open source communities.
Responsibilities:
- Mentor junior developers, sharing your expertise and experience to help them grow professionally.
- Leverage your expertise in AI, AI Agents, distributed systems, APIs, and AI-native architectures to make the best decisions on code and systems architectures.
- Actively engage with open source communities to cultivate strong relationships, address technical challenges, and champion the adoption of our software solutions.
- Partner with internal development teams to ensure the seamless integration of open source contributions into our 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.
- Bring a 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: strong understanding of Kubernetes API architecture and resource model.
- Cluster API: Expertise in using declarative APIs and tooling to simplify provisioning, upgrading, and operating multiple Kubernetes clusters.
- CNI (Container Network Interface): Familiarity with different CNI plugins like OpenSDN/Tungsten Fabric/Contrail, Calico, Cilium (eBPF/XDP), and others for network connectivity in Kubernetes clusters.
- CSI (Container Storage Interface): Understanding of storage orchestration and management in Kubernetes using CSI drivers, particularly with Ceph.
- Telemetry: Experience with monitoring and observability tools to collect and analyze telemetry data from Kubernetes clusters, preferably 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 is highly desirable.
- Extensive experience developing Kubernetes operators and leveraging Kubernetes client libraries.
- Comprehensive understanding of AI infrastructure components: inference systems, Agentic workflows, autonomous AI agents, Model Context Protocol (MCP), serverless AI functions, and related technologies.
- Polyglot with little or no bias for specific programming languages.
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.
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