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Tier-1 brand, mid-level cloud role, metro location, and broad cross-stack requirements increase applicant competition.
Core cloud skills transfer across industries, but AI/ML platform and streaming specialization increases domain sensitivity.
Explicit 5+ years plus mandatory AWS, Terraform, Kafka, CI/CD, and security requirements create strict shortlisting filters.
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Design, deploy, and enhance scalable, resilient AWS cloud infrastructure supporting AI/ML workloads and analytics.
Own end-to-end platform components including containerized workloads, streaming pipelines, networking, security, and CI/CD automation.
Collaborate across cloud engineering, data platforms, and AI/ML operations to solve infrastructure challenges and influence platform technical direction.
Minimum 5 years of hands-on cloud engineering experience with strong expertise in AWS services (ECS, EKS, VPC networking, managed streaming).
Proven experience with infrastructure as code using Terraform and/or CloudFormation; responsible for production environments.
Skilled in building and maintaining CI/CD pipelines (e.g., Azure DevOps) and disciplined version control.
Degree in Computer Science, Software Engineering, or related field, or equivalent professional experience.
Experienced in operating streaming platforms like Apache Kafka or cloud-managed equivalents focusing on scalability and resilience.
Knowledgeable in platform security implementations, including TLS, secrets management, access controls, and authentication (JWT, OAuth, LDAP).
Demonstrated ability to deploy, scale, and monitor AI/ML workloads and collaborate with AI/ML engineers to deliver models in production.