Senior Site Reliability Engineer - Data-Centric Engineering (Remote)
Akamai Technologies, Inc. (company site, opens in a new tab)5+ yrsRemoteDirect career pageEst. 30–55 LPA
Posted 10h ago
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Job description
Structured overview of role & requirements
About This Role
- Develop and apply advanced statistical, machine learning, and mathematical models to optimize global traffic routing and latency performance.
- Design and maintain data-driven observability tools, SLIs/SLOs, and predictive diagnostic algorithms for complex system anomalies.
- Provide data-driven insights influencing executive decisions and partner with engineering teams to enhance system reliability and architecture.
Minimum Requirements
- Master's or PhD in Data Science, Statistics, Computer Science, Machine Learning, or equivalent quantitative field.
- 5+ years experience in data science, predictive modeling, or quantitative research applied to large-scale distributed systems or technology environments.
- Expertise in Unix/Linux internals, computer networking protocols, and distributed system design with command-line proficiency.
- Strong skills in statistical analysis, machine learning, time-series forecasting, advanced SQL/NoSQL querying, and experience with observability tools like Grafana.
Ideal Candidate Profile
- Experienced in combining deep data science expertise with large-scale system engineering and analytics for high-impact internet services.
- Operates effectively at the intersection of data-driven modeling and systems architecture with ability to communicate complex technical insights to executives.
- Possesses a strategic mindset focused on predictive observability and reliability engineering within distributed, high-throughput environments.