[Hiring] Software Development Engineer II @Gather AI

Role Description

We are hiring an SDE II, Full Stack, for our India-based team. You'll build and run the web platforms behind Gather AI's products - Drone Vision, MHE Vision and SAGE, from the customer-facing dashboards down to the APIs, Integration layers and data pipelines that serve them.

This is a fully remote, hands-on engineering role for someone early in their career who already has experience building production software and wants broader ownership. You’ll work alongside senior engineers, taking on well-scoped features, integrations, and platform improvements while developing deeper expertise across APIs, backend services, databases, distributed systems, infrastructure, and production reliability.

You won’t be limited to writing code against someone else’s design. You’ll contribute to technical decisions, troubleshoot systems in production, work through failures and performance issues, and gradually take ownership of components from development through deployment and ongoing support.

Because our team is distributed across multiple time zones, clear written communication, initiative, and the ability to make progress independently are especially important.

Qualifications

• 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
• 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

Requirements

• 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

Company Description