About Us
We’ve successfully launched a data-intensive monolithic application that powers complex computational (CFD / WRF) and ML / DL workflows. Now, we’re expanding the system into a scalable microservice architecture.
You’ll be joining a small but elite dev team that’s rewriting the core product from the ground up — focusing on modularity, performance, and maintainability.
This role is perfect for a developer who’s strong in Python / FastAPI and wants to learn infrastructure, containers, and scalable systems in a real-world project.
Role Overview
As a Backend Developer, you’ll work directly with senior engineers to refactor, modularize, and build microservices from our core monolith.
You’ll also receive mentorship in Docker, CI / CD, orchestration, and cloud deployment — with the goal of becoming a full-stack backend / microservice engineer within 3 months.
Key Responsibilities
- Develop and maintain backend APIs using FastAPI and SQLAlchemy.
- Work with relational databases (PostgreSQL / MySQL) and optimize data queries.
- Contribute to refactoring our existing monolithic codebase into modular microservices.
- Write maintainable, testable, well-documented code.
- Collaborate with ML / DL and domain-specific workers for integration.
- Learn and implement Dockerization, service environments, and deployment pipelines.
Required Skills
Proficiency in Python with experience in FastAPI, Flask, or Django REST Framework.Understanding of REST APIs, ORM, and basic system design.Familiarity with Git and collaborative workflows (GitHub / GitLab).Strong debugging, analytical, and problem-solving skills.Eagerness to learn about DevOps, Docker, and cloud-based deployment.Nice to Have (Trainable on the Job)
Docker, Docker Compose basics.CI / CD exposure (GitHub Actions, Jenkins, GitLab CI).Understanding of Redis, RabbitMQ, or Kafka.Familiarity with server monitoring or logging tools (Prometheus, ELK, etc.).What You’ll Learn Here
Docker & Containerization — Build, deploy, and scale microservices.CI / CD Pipelines — Automate build, test, and deployment workflows.Cloud Infrastructure — Learn real-world deployments on AWS / GCP.Microservice Design — Modularize large systems and manage inter-service communication.DevOps Mindset — Bridge backend engineering and platform reliability.Who You Are
A fast learner who loves solving system-level problems.Someone who wants to grow beyond writing APIs — into architecture, scalability, and DevOps.Comfortable working in a fast-moving R&D-heavy startup environment.Able to take ownership, break problems down, and ship consistently.Perks
Direct mentorship from senior engineers and researchers.Hands-on exposure to CFD, WRF, and ML / DL pipelines.Flexible remote / hybrid work setup.Fast growth trajectory — transition into Platform Engineer within 6–12 months.Location : Remote / Hybrid
Experience : 6 months – 1.5 years