Nitin's Profound AI Rep
Nitin's path moves from real-time systems and gaming into distributed platforms and developer experience.

Nitin Goel
Experience

Joined Atlassian on the Jira platform side, focused on performance and developer experience. Headline impact across my tenure on Jira CI: • Rebuilt CI reliability from 56% → 99.6% (from "engineers can't trust green" to best-in-class), cut CI cost by 44%, reduced pipeline runtime from ~80 min to under 30 min. Deploy velocity across Jira engineering moved meaningfully as a result — one of the highest-leverage internal-platform investments made that year. • Built a hybrid deterministic + AI model for build failure classification that made above possible, hitting 97%+ accuracy. • Led a 5-engineer team building Jira's next-generation performance test framework — covering site inflation (populating realistic customer-scale data), test execution & validation, and analysis pipelines. This became the standard framework Jira teams used to validate performance before large rollouts. • Served as AI & Ops Champion for the team — designed and shipped automation for PR reviews and work item triaging, further reducing manual overhead across engineering..

Software Engineer II on the devices team, working on the cross-platform UI stack powering Amazon's hardware devices. • Built a React Native-like cross-platform UI framework tailored specifically for Amazon's hardware — off-the-shelf frameworks couldn't meet the memory, performance, and hardware-integration constraints of embedded consumer devices, so the team built its own. My work spanned the framework's runtime and developer-facing APIs.

Joined BlackFish (Marlin Protocol) as one of the early engineers when the team was ~5–10 people. Over 3+ years I: • Architected AWS Nitro Enclave-based microservices in Rust for a secure distributed processing product — a stack almost no Indian teams were running in production at the time • Built the company's blockchain indexer from scratch (Go + Postgres + Redis) — the data layer several downstream products depended on • Set up GitHub Actions pipelines for both public and beta release channels • Designed and shipped a custom CLI that handled configuration, downloads, and version upgrades for end users This chapter is why I understand early-stage engineering realities from the inside — small team, hard problems, no dedicated infra/DevOps org, ship-or-die urgency.

▪ Full stack development for a game with over 4 million daily active users. ▪ taking a feature from an idea to the production ready state ▪ deciding and reviewing designs to make highly scalable systems ▪ build logic and system for detecting fraud/cheating in game

▪ Design and development of scheduler in the L2 layer. ▪ Improving the performance of the current system. ▪ Volunteered and solved a tough design problem which had a huge business impact. ▪ Leader of the team responsible to enhance problem solving skill among other employees. ▪ Winner of the in house Professional coding challenge (among 600 participants).
▪ Design and development of various features. ▪ Building high optimised systems real time systems. ▪ Leader of the team responsible to enhance problem solving skill among other employees. ▪ Winner of the in house Professional coding challenge (among 600 participants).
▪ Automated the testing of modules ▪ Found good performance improvement and reduced complexity of the system