Abhishek Mishra
Engineering at DISCO | Distributed Systems, Search & Observability | AWS | OpenSearch | Terraform
- Role
- Technical Lead Manager at DISCO
- Location
- New Delhi, DL, IN
- LinkedIn followers
- 500 followers
About Abhishek Mishra
I’ve spent the last decade building systems that quietly keep the internet running — search platforms, observability pipelines, and distributed systems that handle millions of requests every minute without breaking a sweat.My journey started with ShopClues, where I built the company’s first Solr-based search engine from scratch. That experience sparked my fascination with scale, latency, and reliability — how systems behave when traffic grows 100×, and what invisible optimizations make them survive.At Freshworks and later OLX Group, I led engineering team as senior engineer for global search and personalization platforms handling > 1 million+ requests per minute across multiple markets. I drove the Solr → OpenSearch migration, implemented Learning-to-Rank (LTR) for better relevance, and delivered $1M+ annual infrastructure savings through architectural optimization and query offloading. We achieved 99.99% uptime — without adding a single extra server.Today at CSDISCO, I lead Search & Foundation Platform and Hold & Preservation Engineering as senior engineer, where we’re reimagining large-scale legal SaaS systems using microservices, AWS EKS, Datadog, and Terraform. Beyond systems and code, my passion lies in mentoring engineers, conducting architecture reviews, and aligning technical execution with business outcomes. What excites me: distributed systems, observability, performance tuning, and engineering leadership. Always open to conversations about high-scale architectures, search systems, or leadership challenges — feel free to reach out and say hi.
Experience
Technical Lead Manager
Sep 2023 — Present
DISCO is a legal technology SAAS company 1. Lead two core verticals — Search Platform and Hold & Preservation — powering legal SaaS products across US/EU.2. Architected microservices migration (Kotlin/Spring Boot on AWS ECS/EKS).2. Upgraded Elasticsearch 5.6 → 8.2; improved query latency and throughput by 20–30%.3. Integrated Datadog observability, removing major production blind spots.4. Drove CI/CD automation (Jenkins, Terraform) and on-call reliability processes.5. Managed a small team of 3 developers their feedbacks Quarterly checkings, PR review
Education
Netaji Subhas Institute of Technology
Computer Engineering
2009 — 2013
Kendriya Vidyalaya
High School, Mathematics and Computer Science
1996 — 2008
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