Backend Engineer GoLang

- Location: Bengaluru • JP Nagar • In Office - Experience: 4-6 Yrs - Working: 6 days - *Non Negotiable* - [App Link](https://play.google.com/store/apps/details?id=com.wearingo.audsupsc): [https://play.google.com/store/apps/details?id=com.wearingo.audsupsc](https://play.google.com/store/apps/details?id=com.wearingo.audsupsc) ### About the Role We’re building the future of education and are looking for a highly skilled **Engineers** who can help us get there, we’re looking for someone who thrives in a fast-paced environment and are comfortable navigating ambiguity. You won't just be writing code; you will be architecting systems. You will take ownership of the server-side logic, database architecture, and cloud infrastructure, while having a strong command of the Golang and bits of nodejs ecosystem(old codebase). Ideally, you are someone who can take a vague problem statement, convert it into technical requirements, and build a scalable solution from the ground up. ### What You’ll do - **API & System Design:** Design and build robust, scalable backend systems using Golang. Implement secure authentication flows (JWT/Auth) and ensure best practices in Microservices and API design. - **Database Management and Caching:** Design complex database schemas using **PostgreSQL**. Optimize queries for performance and ensure data integrity. Optimize existing queries and remove bottlenecks. Implement caching strategies using **Redis** to reduce latency and improve backend system performance. - **Infrastructure & DevOps:** Deploy, manage, and monitor applications using **AWS** (specifically **E2, LoadBalancer, Lambda, API Gateway and S3**). Handle the scaling of applications based on changing traffic and business needs. Setup CI/CD pipelines to ship code fast without breaking existing systems. - **Quality & Maintenance:** Write clean, maintainable, testable, and well-documented code. actively participate in code reviews and use Unit/Integration tests in day to day development as we believe they’re a Pillar for shipping right code faster. - **End-to-End Ownership:** Debug and resolve technical issues across the full stack. Translate basic requirements into functioning backend systems with minimal hand-holding. Understand how observability tools work and how to properly instrument software at scale. - **Lead**: guide junior and intermediate engineers, helping them grow and execute faster. ### What you bring - **Core Stack:** Strong proficiency in **Golang**, **Node.js** and **Python**. - **Database:** Deep knowledge of **PostgreSQL** (schema design, indexing, relationships). Good to have experience in Graph databases. - **Cloud (AWS):** Hands-on experience with AWS services, specifically EC2, API Gateway, **Lambda**, **Amplify**, **S3** and **Cloudfront**. - **Security:** Solid understanding of JWT, OAuth, and API security best practices. - **System Design:** Strong proficiency in designing backends system that can scale horizontally. You’ve worked with scale before and have Understanding of microservices or modular monolith architectures. - **Tools:** Hands-on experience with **Git, Docker, Kubernetes** and standard CI/CD deployment workflows. - **Experience with tests**: write code with TDD and integration tests to make sure we move fast without breaking existing systems. ### **Nice to Have** - Previous experience in a high-growth product based startup and have seen their journey. - Ability to incorporate AI tools into daily engineering workflows to drive efficiency and deliver higher quality outcomes - Experience with **Supabase** - Experience with CI/CD setup - Experience in building/shipping AI models and fine tuning them. ### **Culture Fit** - **Adaptive to Ambiguity:** You are comfortable working in a dynamic environment where requirements may shift. You can move forward without having every single detail defined upfront. - **Problem Solver:** You view technical challenges as puzzles to be solved, not blockers. - **Self-Starter:** You have a track record of building backend systems from basic requirements and taking ownership of the deployment pipeline. - **AI Evangelist**: You are someone who ships faster with AI, spend enough time in design and planning phase and then let the AI models do their magic. We strongly believe in integrating AI models development workflows and with proper guardrails (Unit/Integrations tests for faster executions)