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    Job · 21447349

    DELHI · FULLTIME

    Senior Site Reliability Engineer - Data-Centric Engineering (Remote)

    Akamai Technologies

    Akamai Technologies

    Delhi · onsite · Posted 2d ago

    Sourced fromNaukri
    Undisclosed5–10 yrsfulltimeDelhi

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    Section · 01

    About this role

    Do you like collaborating across teams to solve complex problems

    Do you enjoy solving large scale distributed systems problems

    Join the Mapping SRE team

    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. We analyze massive, high-dimensional datasets to discover predictive insights, design critical KPIs, and build advanced algorithmic monitoring infrastructure. Our unique data-first methodology allows us to precisely measure, model, and continuously optimize how our mapping architecture impacts customer performance.

    Partner with the best

    As a Data-Centric Site Reliability Engineer, 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. In this high-impact role, you will analyze massive telemetry streams, engineer predictive observability tools, and design data-driven architecture strategies. Operating at the forefront of data science and large-scale systems engineering, you will unlock deep analytical insights to diagnose and solve the internet s most complex content delivery challenges.

    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.

    As a Senior Site Reliability Engineer, you will be responsible for:

    • 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.

    Do what you love

    To be successful in this role you will:

    • 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.
    • Data & Observability
    • 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.
    • Data Science & Communication Skills

    • 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.

    About us

    At Akamai, we make life better for billions of people, trillions of times a day.
    Whether youre streaming live events, scrolling social media, watching your favorite series, or managing your savings, were the engine behind the scenes. We provide the worlds most distributed platform from Cloud to Edge to help the giants of the digital world work faster and stay more secure, making the internet a better experience for everyone.

    Our focus is simple:
    Cloud and Edge: Running apps closer to users for instant performance.
    Security: Neutralizing threats before they ever reach your data.
    Content Delivery: Scaling the worlds biggest moments without a glitch.
    AI: Enabling our customers to build, secure, and scale AI apps on the worlds most distributed cloud platform.

    At Akamai, we dont just support the internet; we power and protect it, because behind every great digital experience is a massive hidden challenge. And were the ones who solve it. When millions of people hit play or pay, Akamai ensures it just works.

    Benefits at Akamai: We support your health, well-being, finances, and life beyond work. See our benefits.

    FlexBase adapts to your jobs needs

    Akamais FlexBase program is yet another way we show our commitment to providing employees with an exceptional workplace experience. Its not about telling employees where to work; its about supporting employees to do their best work.

    We trust our incredible employees to work in ways that suit them best: at home, in an office, or a combination of both.

    Connect with us on social and see what life at Akamai is like!


    Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

    Sourced from naukri

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    Section · 02

    Skills

    MonitoringAnalyticsUnixSocial MediaSQLdata analysisanalyticalLinuxData ScienceForecasting

    Section · Company

    About Akamai Technologies

    Akamai Technologies

    Akamai Technologies

    Software Product

    2.5k+

    employees

    1998

    28 years old

    Cambridge,Massachusetts

    United States

    About

    Internet security services for Content Delivery Network, cybersecurity, & cloud service

    Industries

    Software ProductInternetHardware & Networking

    Employee ratings

    478 reviews

    4.4/ 5

    Culture

    4.5

    Career growth

    3.4

    Work-life

    4.5

    Employees rate it well for

    Work Life Balance104Work Culture81Salary46Learning36Senior Management33

    Find them on

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