Distributed Systems Architect

🕒 August 4

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

⚙️ Systems Engineer

👻 Ghost score 18%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Gather AI

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2018

📦 Logistics

🍽️ Food & Beverage

💼 Consulting

💰 $10M Series A on 2022-10

Logistics • Food & Beverage • Consulting

Gather AI is a company specializing in automated inventory monitoring solutions using AI-powered drones. They enhance supply chain visibility and warehouse efficiency by offering real-time inventory intelligence, significantly reducing human error and inventory shrinkage. Their autonomous drones facilitate automated data collection and analysis, enabling fast and effective decision-making with increased productivity and accuracy. Gather AI serves industries such as 3PL, manufacturing, retail, and food and beverage, providing a modern approach to warehouse management through innovative technology.

📋 Description

• Align backend, frontend, platform, and infrastructure decisions into a coherent, enterprise-grade architecture • Lead efforts to retire scalability and reliability debt, safely upgrade critical infrastructure, and reduce single-threaded dependencies • Drive high-level decisions on testing strategies, validation guardrails, and system design concerns • Modernize and scale production systems using database-level strategies and platform primitives • Establish shared engineering practices and terminology and mentor senior talent across the engineering team • Develop deep understanding of data systems, latency-sensitive services, and failure modes

🎯 Requirements

• Mastery of performance-sensitive REST APIs, caching strategies, and core distributed systems concepts • Expert-level PostgreSQL, including upgrades, query tuning, replication tradeoffs, and schema evolution • Advanced SQL • Deep experience with Azure and/or AWS • Production-grade Kubernetes/Docker experience • Strong production experience in Node.js and/or Python • Hands-on experience with observability, including logs, metrics, and traces • CI/CD experience • SRE fundamentals, including SLIs/SLOs • Security hygiene, including IAM and secrets management