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Urgent! Backend Systems Engineer Job Opening In India, India – Now Hiring Tawanai

Backend Systems Engineer



Job description

About Us


We’ve successfully launched a data-intensive monolithic application that powers complex computational (CFD/WRF) and ML/DL workflows.

Now, we’re evolving the system into a clean, 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



Required Skill Profession

Computer Occupations



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