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Tier-1 brand, mid-level SRE title, metro location, and broad skill requirements raise competition.
Core SRE and cloud skills are transferable, though AI-platform specialization increases domain specificity.
Explicit 5+ years plus mandatory cloud, IaC, Kubernetes and CI/CD skills enforce strict filtering.
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Lead long-term infrastructure strategy for AI Platform focusing on scalable, reliable systems that reduce operational overhead.
Manage operational health of cloud-native services including containerized workloads and managed ML infrastructure, with observability and incident response.
Design and maintain CI/CD pipelines and automate infrastructure provisioning, security remediations, and deployments; mentor junior engineers in DevOps practices.
5+ years of experience in cloud and infrastructure engineering roles.
Proficiency in Python and shell scripting; experience with infrastructure-as-code tools such as CloudFormation, Terraform, ARM, or SAM.
Strong hands-on experience with cloud infrastructure, containerization (Docker, Kubernetes), and CI/CD tools.
Work Experience Required: 5+ years (explicitly mentioned)
Experienced in designing scalable, secure, and reliable infrastructure for AI or ML platforms with strong end-to-end ownership.
Comfortable collaborating across engineering, security, and product teams to translate requirements into engineering objectives.
Proven ability to automate complex workflows and improve operational reliability through observability and incident management practices.