Software Development Engineer II – Full Stack

🔥 8 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🧑‍💻 Full-stack Engineer

👻 Ghost score 15%

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

• Build and maintain production backend services using Python and Node.js/NestJS • Design, build, and maintain REST APIs and integrations with internal and external systems • Work with PostgreSQL in production, including schema design, complex queries, indexing, connection management, and performance tuning • Build and support asynchronous workflows using message queues and distributed system patterns • Apply caching strategies across application and data layers, including understanding cache invalidation and performance tradeoffs • Take features and integrations through the full software development lifecycle, including development, testing, deployment, monitoring, troubleshooting, and iteration • Containerize and deploy services using Docker, Kubernetes, and CI/CD pipelines • Monitor production systems using logs, dashboards, metrics, and other observability tools to understand reliability, throughput, and performance • Diagnose and resolve production issues, including failures across APIs, integrations, queues, databases, and multi-service workflows • Contribute to secure development practices including authentication, authorization, secrets handling, and protection against common application vulnerabilities • Work closely with senior engineers on technical design and architecture decisions while progressively taking greater ownership • Identify opportunities to improve code, reliability, performance, engineering processes, and system design rather than only executing assigned work • Collaborate with Engineering, Security, Customer Success, Product, and other teams as our platform continues to scale

🎯 Requirements

• 2–5 years of professional software engineering experience building and operating production software • An engineering degree in Computer Science or equivalent practical experience • Production experience with Python and Node.js/NestJS, with strong production depth in at least one and working experience with the other • Experience building production-grade APIs, microservices, or backend systems and seeing them through deployment and ongoing operation • Strong SQL fundamentals and hands-on relational database experience, including complex queries, indexing, schema design, and production performance troubleshooting • Experience designing and maintaining REST APIs, not only consuming them • Experience integrating with external systems and understanding real-world concerns such as retries, duplicate processing, failure handling, and unreliable dependencies • Working knowledge of distributed systems concepts including asynchronous processing, message queues, retries, consistency, and failure recovery • Understanding of caching, including what to cache, where caching should occur, and how invalidation is handled • Experience with message queues or asynchronous processing technologies such as Kafka, RabbitMQ, SQS, or equivalent • Experience with Redis or another caching technology • Experience with Azure or another major cloud provider, deploying and debugging, using Docker, Kubernetes, and CI/CD pipelines • Familiarity with Git and modern code review workflows • Understanding of secure coding fundamentals including authentication and authorization, secrets handling, injection risks, and data exposure • Experience working with production systems beyond simply writing code, including monitoring metrics, investigating performance, responding to failures, and improving systems after issues occur • Strong written and verbal communication skills in English, with the ability to document decisions, explain tradeoffs, write clear PRs and design notes, and raise blockers early • A collaborative and curious approach, with the willingness to contribute ideas, ask questions, accept feedback, and work across component boundaries when needed