Oct 2024 – Present · 1 yr 7 mos · Remote

• Built Atlassian’s Software Inventory and SBOM platform, enabling large-scale dependency tracking and vulnerability analysis across ~15k repositories.
• Automated artifact scanning by developing Dockerized Golang services across CI/CD pipelines, reducing manual overhead and increasing reliability.
• Led development of scalable file metadata tracking system on Kubernetes and AWS (SQS, Lambda, Data Lake), monitoring 23k+ standard files across all Atlassian repositories.
• Integrated open-source tools (Syft, Cdxgen) with AWS (S3, Lambda, Data Lake) to automate SBOM generation and storage, accelerating vulnerability analysis.
• Increased scanning reliability by resolving Java compatibility issues and pipeline failures, reducing tool failure rates from ~40% to ~5% and improving Java repository coverage from ~60% to ~85%.
• Strengthened application security by integrating OSV vulnerability scanning and automating mitigation workflows in partnership with Security teams.
• Improved system coverage with a backfill mechanism, to perform on-demand scans for a large number of repositories, eliminating reliance on merge-to-master commits.
• Mentored 2 interns leading onboarding, projects, and regular technical feedback to accelerate their delivery and team contribution.

Jul 2022 – Oct 2024 · 2 yrs 3 mos · Remote

• Contributed to Asset Attribution, Atlassian’s central platform serving as the source of truth for software asset ownership and relationships, powering internal security, compliance, cost attribution, and engineering platform systems.
• Developed Java/Spring Boot microservices exposing REST and GraphQL APIs used by internal platforms to query asset ownership, metadata, and dependency relationships across engineering systems.
• Designed high-throughput APIs supporting multi-level dependency traversal and batch queries of up to 1000 assets per request, enabling internal systems to analyze service dependencies and ownership mappings.
• Modeled and onboarded multiple asset classes (Jira, Confluence, Docker images, etc.) by analyzing upstream data sources, defining metadata schemas, and building ingestion pipelines to compute attributes and ownership relationships.
• Built PySpark and Databricks data pipelines processing 100M+ asset and association records, exporting datasets to PostgreSQL (RDS) and TB-scale data lake tables for platform consumption.
• Optimized ingestion and query performance using PostgreSQL (jOOQ), Redis caching, and efficient schema design to support large-scale asset relationship queries.
• Designed and implemented monorepo ownership resolution for Atlassian’s frontend monorepo, introducing a new Codebase asset to map repository paths to individual services, enabling accurate ownership attribution for thousands of frontend components.

Jan 2022 – Jun 2022 · 5 mos · Remote

• Automated microservices health scoring and cleanup of ~10k services, and migrated PostgreSQL data to a centralized Data Lake, enhancing observability, system reliability, and cross-team access for backend operations.

May 2021 – Jul 2021 · 2 mos · Delhi, India · Remote