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Senior DevOps/SRE manager role with broad cloud and AI expectations attracts moderate candidate competition.
Requires platform, SRE, and cloud expertise, moderately limiting cross-industry transferability.
Explicit 8+ years, 3+ years management, plus SRE, cloud, and AI skills make filters stringent.
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Lead a software engineering team focused on resolving customer-reported defects and improving service reliability on a cloud-native microservices platform.
Drive adoption of AI-driven workflows for automated defect triage, root cause analysis, and engineering efficiency enhancement.
Own end-to-end defect management, incident resolution, and continuous improvement to elevate platform stability, customer satisfaction, and engineering productivity.
Bachelor's or Master's degree in Computer Science, Engineering, or related field.
8+ years of software engineering experience with at least 3 years in people management roles.
Proven expertise in microservices, distributed systems, cloud platforms (Azure, AWS, or GCP), and production incident management.
Knowledge and practical application of AI/ML technologies in engineering workflows.
Experienced technical leader with a strong background in cloud-native architectures and AI-assisted software development practices.
Demonstrated ability to balance tactical defect resolution with long-term platform modernization efforts and operational excellence.
Proven track record managing customer-facing products, driving engineering metrics (quality, reliability, productivity), and collaborating cross-functionally in enterprise-scale SaaS environments.