Senior Site Reliability Engineer – Data-Centric Engineering

🔥 52 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Akamai Technologies

WebsiteLinkedInAll Job Openings

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

• Develop mathematical, statistical, and machine learning models to analyze global traffic flows, predict latency anomalies, and optimize routing efficiency • Design, track, and refine data-driven SLIs/SLOs using exploratory data analysis • Build and deploy automated data pipelines, predictive models, and custom diagnostic algorithms • Partner with product engineers to champion scalable, resilient, and highly supportable system architectures • Provide data-driven insights for executive-level decision-making and technology investments • Conduct quantitative investigations and forensic telemetry analyses of complex outages and performance escalations • Ensure operation and uptime of compute services and infrastructure • Supervise and maintain critical infrastructure • Collaborate with cross-functional teams to create tooling and software that monitors and improves system reliability • Work with various technologies while releasing new applications and modernizing existing tooling

🎯 Requirements

• Master’s or PhD in Data Science, Statistics, Computer Science, Machine Learning, or a highly quantitative analytical field • 5+ years of experience applying data science, predictive modeling, or quantitative research to large-scale distributed systems or tech environments • Deep mastery of Unix/Linux internals, computer networking protocols, and distributed system design • Professional fluency operating within a command-line UNIX/Linux computing environment • Expertise in statistical analysis, machine learning algorithms, time-series forecasting, and advanced SQL/NoSQL big data querying • Proven ability to transform complex datasets into actionable strategic roadmaps • Practical knowledge of enterprise observability, logging, and alerting systems like Grafana • High proficiency in data science languages and frameworks, including Python, R, Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch • Self-motivated communicator capable of articulating complex systems to non-technical stakeholders while managing multiple timelines

🏖️ Benefits

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