Senior Site Reliability Engineer - Data-Centric Engineering
Akamai Technologies
IndiaremotePosted 7 days ago
Skill Required
Site-Reliability-EngineerSRE-EngineerData-EngineerData-ScientistReliability-EngineerSenior-Site-Reliability-EngineerSenior-Database-Reliability-EngineerSenior-Site-Reliability-Engineering-ArchitectData-Reliability-Engineer-JobsSite-Reliability-Operations-EngineerDevOps-Site-Reliability-EngineerSenior-Reliability-EngineerData EngineerSite Reliability EngineerEngineeringSystem DesignMachine LearningScikit-learnObservabilityTensorFlowStatisticsnetworkinganalyticalData StructuresanalyticsPyTorchPrometheusPythonPandasdesignDevOpsNumPyLinuxCloudRustSQLandAIFulltime
Key highlights
- Required Experience: 5+ years
- Education: Master's or PhD in quantitative field
- Key Benefit: FlexBase (remote/hybrid/office flexibility)
- Role Type: Specialized data science/analytical engineering (not standard DevOps)
Role overview
As Akamai Mapping Data-Driven SREs, we leverage advanced data science, statistical modeling, and machine learning to optimize the reliability, performance, and scalability of a global system routing trillions of daily client requests and tens of terabits of traffic per second. You will apply rigorous quantitative analysis, statistical modeling, and machine learning to optimize the performance, availability, and routing algorithms of Akamai’s core Mapping Service, operating at the forefront of data science and large-scale systems engineering to solve the internet’s most complex content delivery challenges.
Responsibilities
- Advanced Statistical Modeling: Develop mathematical, statistical, and machine learning models to analyze global traffic flows, predict latency anomalies, and optimize routing efficiency.
- Drive Observability & Analytics: Design, track, and refine data-driven SLIs/SLOs, utilizing exploratory data analysis to proactively identify hidden bottlenecks and systemic performance trends.
- Engineer Predictive Tooling: Build and deploy automated data pipelines, predictive models, and custom diagnostic algorithms to detect, prevent, and analyze complex platform anomalies.
- Advocate for Reliability: Partner with product engineers to champion scalable, resilient, and highly supportable system architectures.
- Influence Strategy: Provide data-driven insights to guide executive-level decision-making and identify high-impact technology investments.
- Deep Root-Cause Analytics: Conduct advanced quantitative investigations and forensic telemetry analyses on complex system outages and high-priority performance escalations.
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.
- High proficiency in data science languages and frameworks (e.g., 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.
Nice to have
- Practical knowledge of enterprise observability, logging, and alerting systems like Grafana.
Benefits
- Support for health, well-being, finances, and life beyond work.
- FlexBase program: support for employees to work in ways that suit them best: at home, in an office, or a combination of both.
Additional details
- Note: This is a specialized data science and analytical engineering role requiring advanced quantitative and modeling expertise—not a standard DevOps, sysadmin, or routine operational position.
- At Akamai, we provide the world's most distributed platform from Cloud to Edge to help the giants of the digital world work faster and stay more secure.
- Akamai focus areas: Cloud and Edge, Security, Content Delivery, and AI.
- Originally posted on Himalayas