Manager, Site Reliability Engineering

đŸ”„ 0 minutes ago

đŸ‡”đŸ‡± Poland – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

đŸ‘» Ghost score 10%

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Logo of Akamai Technologies

Akamai Technologies

5001 - 10000 employees

🔒 Cybersecurity

💰 Post-IPO Equity on 2001-07

Cloud Computing ‱ Cybersecurity ‱ Content Delivery

Akamai Technologies is a leading cloud services provider that specializes in delivering security, cloud computing, and content delivery solutions. It offers a range of services such as API security, DDoS protection, and performance optimization for web applications, ensuring secure and reliable user experiences. With a robust global infrastructure, Akamai empowers businesses to streamline their digital presence while safeguarding against various cyber threats and enhancing application performance.

📋 Description

‱ Lead a team responsible for reliability across Akamai Inference Platform ‱ Partner with product engineering teams to embed reliability into rapidly evolving products ‱ Lead SRE initiatives for serverless inference ‱ Ensure global-scale performance, observability, and operational resilience ‱ Lead the team ensuring reliability for Akamai's Inference compute and platform services ‱ Oversee hiring strategy, candidate evaluation, and interview coordination for SRE roles ‱ Lead, mentor, and guide an existing team of SREs ‱ Foster team growth and promote best practices across the organization ‱ Implement and refine SRE practices, including SLOs, SLIs, error budgets, capacity planning, and fault management ‱ Champion and enforce Operational Readiness Reviews ‱ Establish quality gates and create comprehensive runbooks

🎯 Requirements

‱ Experience leading SRE, Systems, or Platform Engineering teams in cloud environments ‱ Demonstrated engineering management experience during growth periods ‱ Expertise in SRE methodologies, including SLOs and error budgets ‱ Experience building or maintaining observability platforms for distributed systems ‱ Direct experience defining and running Operational Readiness Reviews or Production Readiness Reviews ‱ Understanding of AI infrastructure and serverless inference workflows ‱ Experience managing multi-node GPU clusters for optimized performance and scalability ‱ Ability to implement automation initiatives and improve operational workflows and infrastructure efficiency ‱ Ability to collaborate with product teams and architects ‱ Experience with SLOs, SLIs, error budgets, capacity planning, fault management, observability, quality gates, and runbooks

đŸ–ïž Benefits

‱ Health, well-being, and financial support benefits ‱ FlexBase flexible work arrangements: work at home, in an office, or a combination of both

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