Niranjan Madhavan

Production Engineer @Meta | ex-Google | ex-Cisco | SRE

London Area, United Kingdom

About

Experience

  • Production Engineer at Meta
    Jun 2025 - Present · 1 yr 2 mos

  • Systems Development Engineer at Google
    May 2024 - May 2025 · 1 yr 1 mo

  • Cisco ()
    • Site Reliability Engineer II
      Nov 2022 - Mar 2024 · 1 yr 5 mos

      - Modernized core network infrastructure by migrating legacy IPAM systems to a scalable platform with an event-driven DNS backend processing millions of events per day, improving scalability and reliability for Cisco's global network. - Managed on-prem Kubernetes clusters across multiple regions running production network services, maintaining cluster health and resolving pod/node-level failures to ensure high service availability. - Eliminated cascading failures and improved reliability of the DNS service handling 2M QPS, by implementing client attributions and rate limiting, reducing service disruptions under high load. - Bridged data consistency gaps during migration of 3.5M+ IPAM and DNS records by building synchronization and validation mechanisms, ensuring seamless cutover with no service disruption. - Cut MTTR by 60% by automating incident remediation workflows and creating operational runbooks that enabled efficient incident delegation and faster resolution.

    • Site Reliability Engineer
      Aug 2021 - Nov 2022 · 1 yr 4 mos

      • Developed visually compelling KPI dashboards aligned with business requirements empowering users with data-driven decision-making using real-time insights and actionable information. • Initiated and drove end-to-end data pipeline, culminating in dynamic dashboards that enabled high-level monitoring of a critical initiative to reduce network ACLs.

    • Site Reliability Intern
      Feb 2021 - Jul 2021 · 6 mos

      Revamped the front-end of a centralized vulnerability management system to expedite issue resolution and establish transparent SLAs.

  • Research Assistant at Manipal Institute of Technology
    Jan 2020 - Jul 2021 · 1 yr 7 mos

    • Implemented a Statistical Intrusion Detection Algorithm to effectively detect anomalous network traffic, especially DDoS attacks. • Introduced the algorithm using DPDK enabled Open vSwitch connected to the SDN controller.

  • Machine Learning Intern at Mobius Knowledge Services
    May 2019 - Jul 2019 · 3 mos

    • Accelerated lead generation process by implementing an end-to-end machine learning pipeline to automatically generate leads from webpage inputs, resulting in a 60% increase in efficiency over previous manual methods.