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Senior staff scope reduces broad applicant volume but metro location and general DevOps demand increase competition.
DevOps/platform skills transfer across industries but require specific cloud and SRE expertise, so moderately sensitive.
Explicit 8–12 years plus mandatory multi-cloud, Kubernetes, CI/CD, and SRE/platform requirements.
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Architect and scale multi-cloud (AWS/GCP/Azure) cloud-native platform foundations for AI-driven products and internal platforms.
Define and enforce DevOps standards including CI/CD pipelines, reliability engineering (SLOs, incident response), security, and cost governance across the AI Factory organization.
Act as a technical authority and escalation point for complex infrastructure and reliability issues, while mentoring senior engineers and driving platform strategy beyond individual teams.
8-12 years of experience in DevOps, Platform, or Infrastructure Engineering.
Proven experience operating at a Staff or Principal engineer level with multi-team, platform-wide impact.
Hands-on expertise with cloud platforms (AWS, GCP, Azure), Docker, Kubernetes, CI/CD pipelines, infrastructure automation (Python, Bash), and monitoring tools (Prometheus, Grafana, ELK/Loki).
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
Experienced in architecting and operating large scale, multi-cloud cloud-native infrastructure with strong emphasis on reliability and security.
Capable of influencing and collaborating across multiple teams and leadership without direct management responsibilities, acting as a force multiplier.
Comfortable making technical decisions and communicating complex trade-offs clearly to engineering leaders and stakeholders.