Key Responsibilities:
1. Be part of the team responsible for the enterprise grade SAAS platform.
2. Own end-to-end design and development of Product Features.
3. Design and implement software for testability, maintainability, scalability, supportability.
4. Troubleshoot and support field issues, microservices monitoring.
5. Hands-on working on SAAS based applications.
6. Experience with working on scalable, highly available distributed systems.
7. Robust understanding of Agile development along with CI/CD pipeline.
8. Solid understanding of software development Life Cycle.
9. Solid understanding of end to end Application Security and incorporating the same during development.
10. Exposure to micro-services architecture and microservices development frameworks, platform based architecture.
11. Experience in AWS/Azure.
12. Experience in Dockers, and Kubernetes. ECS, EKS, AKS etc
13. Experience with RDBMS such as Postgres(Preferred), MySQL and nosql databases(Desired).
14. Experience in languages such as Python(Preferred), Java.
15. Exposure to development of data platforms for analytics, reporting etc.
16. Exposure to the development of IOT applications is a plus.
Other requirements
1. Proficient in JavaScript, TypeScript, Vue.js(preferred), ReactJS
2. Solid understanding of UI/UX principles, responsive design techniques, and front-end performance optimization.
3. Exposure to the development of API-driven Single Page Applications
4. Exposure to AWS Cloudfront, Akamai etc.
5. Experience in Application monitoring and log management tools.

About AIMonk Labs Pvt Ltd
About
AIMonk is an artificial intelligence platform aimed at democratizing state-of-the-art visual recognition technology. Our solutions are creating business advantages and solving problems by analyzing millions of images and videos. AIMonk Labs is recognized as Startup by the Department for Promotion of Industry and Internal Trade (DPIIT) under the Startup India initiative of the Government of India.
Tech stack
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Mandatory (Experience 2) – Must have strong backend engineering experience using Python, including designing and owning APIs, services, and data models in production environments
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