Founding Backend Engineer - Golang

We are looking for a founding backend engineer GoLang. 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 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.
Responsibilities:
API and 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. Optimise queries for performance and ensure data integrity. Optimise existing queries and remove bottlenecks. Implement caching strategies using Redis to reduce latency and improve backend system performance.
Infrastructure and 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. Set up CI/CD pipelines to ship code fast without breaking existing systems.
Quality and 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 the 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.
Requirements:
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 backend systems that can scale horizontally. You've worked with scale before and have an 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, spends enough time in the design and planning phase and then lets the AI models do their magic. We strongly believe in integrating AI model development workflows with proper guardrails (Unit/Integrations tests for faster execution).

Experience
4-6 yrs