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Strong employer brand and metro location increase competition but role specialization moderates it.
Core SRE and automation skills transfer across tech industries, but enterprise operations bias exists.
Explicit 8+ years, mandatory reliability/automation and Python experience make filters strict.
Design and build workflow automations that reduce manual toil and accelerate incident response using Python and automation platforms like n8n.
Develop AI-enabled operational capabilities for improved detection, diagnosis, communication, and recovery in production systems.
Partner cross-functionally to enhance observability, resilience, and operational excellence through scalable engineering and DevOps practices.
Minimum 8 years of experience in reliability engineering and automation.
Strong Python development skills for building automation frameworks, services, APIs, and tooling.
Experience with workflow automation, observability (metrics, logs, traces, alerting), and DevOps (CI/CD, infrastructure automation, production support).
Experience working in high-availability or mission-critical environments.
Experienced in designing and implementing AI/ML enabled operational workflows and automation in enterprise or large-scale production environments.
Deep understanding of SRE and operational best practices including incident management, SLIs/SLOs, error budgets, and reliability tradeoffs.
Demonstrated ability to lead technical initiatives, mentor engineers, and influence cross-functional teams for operational resilience and improved MTTR.