Jayesh Lahori

Software Engineer

San Francisco, California, United States10 yrs 10 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in building observability infrastructure.
  • Proficient in processing time-series metrics at scale.
  • Strong background in optimizing micro-services.
Stackforce AI infers this person is a SaaS Infrastructure Engineer with a focus on observability and monitoring systems.

Contact

jlahori92@gmail.comLinkedIn

Skills

Core Skills

PythonGolangMonitoringAlerting

Other Skills

MySQLRedisKafkaTime-series dataData processingCAlgorithmsData StructuresProgrammingC++JavaScriptAndroidPHPBashLinux

About

Passionate & experienced in building systems and infrastructure for powering useful products. Past experience in Observability Infrastructure - Building platforms for producing/processing time-series metrics at scale. ~ Performance & High Availability cannot be bolted into systems afterwards. Skills: Python, Golang, MySQL, Redis, Kafka

Experience

10 yrs 10 mos
Total Experience
5 yrs 5 mos
Average Tenure
6 yrs 3 mos
Current Experience

Meta

Software Engineer

Feb 2020 – Present · 6 yrs 3 mos · Menlo Park, CA, United States

  • Working on building tools / platforms to make facebook micro-services efficient & sufficient in terms of hardware resource usage
PythonGolangMySQLRedisKafka

Linkedin

3 roles

Senior Software Engineer

Promoted

Oct 2016 – Feb 2020 · 3 yrs 4 mos

  • Worked on the Monitoring-Infrastructure team to build next-gen alerting platform for self-service, metric based application monitoring.
  • The system munches time-series data for the defined metrics, applies state-plugins, computes the overall state of the alert and performs a variety of tasks like notifications, auto-remediation, auto-scaling. Processed about 1M alert-definitions per minute.
MonitoringAlertingTime-series data

Software Engineer

Jul 2015 – Sep 2016 · 1 yr 2 mos

  • Developed an alerting/monitoring infrastructure for network events inside LinkedIn's Data-Centers. The system processed 3M metrics and 400K syslogs per minute, applied neighbor based correlation to form summarized incident reports, enriched with probable root causes.
AlertingMonitoringData processing

Software Engineering Intern

May 2014 – Jul 2014 · 2 mos · Bengaluru Area, India

  • Worked on making a mobile tool to visualize traffic on LinkedIn's Network Backbone.

Education

International Institute of Information Technology Hyderabad (IIITH)

Bachelor of Technology - BTech — Computuer Science & Engineering

Jan 2011 – Jan 2015

St Aloysius Sen Sec School - Jabalpur

Secondary School

Stackforce found 100+ more professionals with Python & Golang

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