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Remote, mid-level, generalist DevOps role with common required skills increases applicant competition.
Cloud/DevOps skills are transferable, but ML GPU and regulated-deployment needs increase industry specificity.
Multiple mandatory cloud, containerization, CI/CD, and IaC skills make screening highly strict.
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Design, build, and operate scalable cloud infrastructure and CI/CD pipelines across AWS, GCP, and Azure.
Own and optimize multi-cloud environments focusing on performance, reliability, scalability, cost efficiency, and security for regulated document-heavy AI workloads.
Manage containerized services (Docker, Kubernetes), GPU infrastructure for ML workloads, and maintain monitoring, logging, and alerting systems.
Minimum 3 years of experience in DevOps, Cloud Infrastructure, or Site Reliability Engineering.
Hands-on experience with at least one major cloud platform among AWS, GCP, or Azure.
Proficiency with Docker, Kubernetes, CI/CD pipelines, Terraform (Infrastructure as Code), and cloud networking/security concepts.
Work Experience Required: 3+ years in relevant DevOps/Cloud Infrastructure roles.
Experienced with multi-cloud infrastructure management and automation in an enterprise or regulated environment.
Capable of independently owning end-to-end infrastructure lifecycle including security and operational resilience.
Familiar with deploying and managing GPU-enabled AI/ML workloads, collaborating closely with ML and security teams.