Design, build, and operate scalable cloud infrastructure supporting Linux and Windows workloads. Develop and implement AI-powered automation and tooling to improve system reliability and operational efficiency. Troubleshoot cloud and distributed systems issues across AWS or Onprem environments. Manage and optimize containerized environments using Kubernetes. Support and maintain identity and access management corporate infrastructure. Partner with engineering teams to build resilient and scalable systems. Identify opportunities to improve operational workflows through AI-assisted automation and platform tooling. Mentor engineers and contribute to engineering best practices. Participate in an on-call rotation supporting production systems. About You 5 years of experience in infrastructure engineering, systems administration, or platform engineering 3 years of experience in systems engineering or reliability engineering. Experience operating cloud platforms (AWS, Azure, or GCP)Strong experience with container orchestration platforms such as Kubernetes. Proficiency with scripting and programming languages (Python, .NET, JavaScript)Experience building automation tooling for infrastructure or operations. Familiarity with AI tooling or AI concepts for operational automation. Experience with observability, monitoring, and incident response tooling. Strong troubleshooting skills across distributed systems and cloud infrastructure. What you’ll get