Anirudh Garg

Software Engineer

Delhi, India3 yrs 9 mos experience
Highly Stable

Key Highlights

  • Expert in building scalable distributed systems.
  • Proven track record in optimizing search infrastructure.
  • Strong background in compliance and asset management.
Stackforce AI infers this person is a SaaS-focused Software Engineer with expertise in distributed systems and compliance monitoring.

Contact

Skills

Core Skills

Distributed SystemsSearch InfrastructureReal-time SystemsCompliance MonitoringCloud ComputingData Processing

Other Skills

KotlinDistributed CachingSoftware DesignSoftware DevelopmentAmazon Web Services (AWS)Apache SparkElasticsearchGo (Programming Language)Spring BootData StructuresFull-Stack DevelopmentPython (Programming Language)Web DevelopmentGuitar PlayingReact.js

About

I’m a Software Engineer passionate about designing and scaling distributed systems. At Atlassian, I’m part of the Jira Scalable Issue Search (JSIS) team, where I build and optimize in-house search infrastructure for Jira. Previously, I worked on developing a high-cardinality observability platform and scaling systems that drive compliance and standardization across Atlassian’s engineering ecosystem, leveraging deep expertise in asset inventory management and ownership modeling at scale. Before Atlassian, I was at Amazon, contributing to the scalability of internal enterprise search infrastructure for Amazon Search.

Experience

3 yrs 9 mos
Total Experience
3 yrs 9 mos
Average Tenure
3 yrs 9 mos
Current Experience

Atlassian

2 roles

Software Engineer II

Promoted

Oct 2024Present · 1 yr 7 mos · Bengaluru, Karnataka, India · Remote

  • Building the next generation of Jira Search within the JSIS team, migrating JQL executions from vertically scaled PostgreSQL to a horizontally distributed ElasticSearch architecture, with intelligent kill-switch fallbacks that dynamically route tenants based on data correctness.
  • Working on distributed search systems that serve billions of weekly requests with 99.5% of queries completing under 500ms, while improving real-time consistency, cutting down EC delay and reducing freshness gaps at scale.
KotlinDistributed CachingDistributed SystemsSearch Infrastructure

Software Engineer

Jul 2022Sep 2024 · 2 yrs 2 mos · Bengaluru, Karnataka, India · Remote

  • As a Software Engineer at Atlassian, I played a pivotal role in the Software Inventory team, spearheading the development of a real-time system that delivers comprehensive SBOM (Software Bill of Materials) data across various assets. This initiative significantly enhanced compliance monitoring and dependency tracking, ensuring greater visibility and control over our software ecosystem.
  • As a core member of the Asset Attribution team, I contributed to the upgrade of our service architecture from v1 to a SQL-based v2 graph model, facilitating the real-time processing of 2.5M+ messages daily with a P99 latency of 3ms. This enhancement ensured the reliable delivery of critical data, enabling accurate determination of ownership and associations across millions of assets within Atlassian.
Software DesignSoftware DevelopmentReal-time SystemsCompliance Monitoring

Amazon

Software Engineer Intern

Jan 2022Jun 2022 · 5 mos · Bengaluru, Karnataka, India · Remote

  • Leveraged AWS services, including EMR, Glue, Lambda, and Athena, to develop an event-driven RABL Acropolis model, reducing backfill time from 7 days to 12 hours and boosting data processing efficiency by 93%.
  • Designed a POST Method Handler via API Gateway to automate catalog rule updates for G2S2 tables, replacing a manual process and enhancing operational efficiency.
Amazon Web Services (AWS)Apache SparkCloud ComputingData Processing

Education

Maharaja Agrasen Institute Of Technology, Delhi

BTech - Bachelor of Technology — Computer Science

Jan 2018Jan 2022

Bal Bharati Public School, Dwarka

High School — PCM

Apr 2017May 2018

Maharaja Agrasen Institute Of Technology, Delhi

Bachelor of Technology - BTech — Computer Science

Aug 2018Jun 2022

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