DevOps Engineer

November 14

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Motorola Solutions

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Security • Telecommunications • Enterprise

Motorola Solutions is a company that provides a comprehensive safety and security ecosystem, offering technology solutions to protect people, property, and places. The company specializes in critical communications, video security systems, command center solutions, and managed & support services. Their products include mission-critical P25 radios, professional DMR radios, broadband devices, and video security systems powered by AI analytics. Motorola Solutions serves various industries, including public safety, education, healthcare, law enforcement, and more, with a focus on enhancing operational efficiency and response in critical situations. They are committed to delivering solutions that help their customers stay connected, communicate clearly, and act with certainty in the harshest conditions.

10,000+ employees

Founded 1928

🔐 Security

📡 Telecommunications

🏢 Enterprise

📋 Description

• Implement and manage AI-driven DevOps processes to automate and enhance every stage of the software development lifecycle, from planning to maintenance. • Deploy and oversee AI agents as autonomous team members capable of handling routine tasks, troubleshooting, and optimizing infrastructure. • Continuously monitor, refine, and optimize AI agent workflows to improve system performance, resource allocation, and application reliability. • Proactively identify and resolve system anomalies, leveraging self-healing infrastructure capabilities to maintain operational stability. • Collaborate with cross-functional teams to embed AI directly into real-time workflows —no labs, no “eventual” use cases. • Drive innovation by enabling engineering teams to focus on complex, strategic initiatives while AI agents handle repetitive and operational tasks. • Collaborate with AI researchers and responsible AI team to build the best possible AI solutions for our teams.

🎯 Requirements

• 5+ years of experience in DevOps, with a strong focus on automation, infrastructure management, and CI/CD processes. • 2+ years of experience with AI technologies or AI-driven tools, including their integration into development workflows. • Familiarity with LLM ecosystems (OpenAI, Claude, Mistral, Llama, etc.) and modern AI stacks (LangChain, LlamaIndex, Ray, Hugging Face). • Deep knowledge of cloud platforms (e.g., AWS, Azure, or GCP), containerization (e.g., Docker, Kubernetes), and infrastructure-as-code tools (e.g., Terraform, Ansible). • Strong programming skills in Python development and testing (and ideally some experience working alongside full-stack engineers). • Proven ability to work independently, solve complex problems proactively, and improve processes through intelligent automation. • Pragmatism—able to operate in applied, real-world settings with real constraints.

🏖️ Benefits

• Health insurance • Flexible working hours