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Protocol Intelligence
Data-driven signals on your job's competitivenessStrong employer brand, mid-level SRE role, metro hiring, and broad cloud+ML skillset increase applicant competition.
Core SRE and cloud skills transfer across industries, though platform and ML experience increases specificity.
Explicit years plus mandatory cloud, IaC, CI/CD, Kubernetes, and on-call experience enforce strict shortlisting.
Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and operate scalable, secure, and highly available cloud platform solutions including CI/CD pipelines and infrastructure-as-code.
Drive operational excellence through monitoring, alerting, incident management, and continuous reliability improvements with on-call support responsibilities.
Develop and deploy ML/AI systems at scale, including data pipelines and CI/CD for AI/ML services, while collaborating on architectural decisions and enforcing platform standards.
Minimum Requirements
3+ years hands-on experience with CI/CD tooling, automation, and deployment strategies.
2+ years experience in AI/ML engineering, SRE, or DevOps roles.
Experience with containerization and orchestration technologies such as Docker and Kubernetes.
Work Experience Required: At least 2 years in relevant roles explicitly mentioned.
Ideal Candidate Profile
Experienced in operating production cloud platforms with a focus on reliability, security, and scalability within a multi-cloud environment (AWS/Azure/GCP).
Proficient in scripting/programming (e.g., Python, Bash) and infrastructure-as-code tools (Terraform, ARM).
Capable of leading platform architectural decisions and driving cross-team collaboration to improve platform health and operational excellence.