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IoT based Energy Monitoring and Control

Full Stack Developer (3+ Years)

₹10L – ₹15L • No equity
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Zenatix is looking for a seasoned full stack developer with expertise in Python. The person's primary responsibility will be the development of the cloud platform services used at large scale for data being collected from Zenatix customers. The person is required to have a sound knowledge of the technologies mentioned below and must be result oriented with a desire to work in a start-up. Zenatix is also open to publishing the work outcomes as research papers in top conferences in the domain.

Responsibilities

1. Enhancement of modern data pipelines based on technologies we use like Kafka and Druid.
2. Development of advanced frameworks on top of Django for implementing IoT frameworks like Scheduling and Device Management.
3. Working on achieving a Service Oriented Architecture with modern technologies like Kubernetes and standard protocols like GraphQL, service meshes, etc.
4. Designing scalable practices for both services and databases based on sharding, redundancy, backup, etc.

Qualifications and Experience

Applicants must have

1. Bachelor’s degree in Computer Science from a top-tier institute or equivalent practical experience.
2. 3+ years of experience in building web apps in Django with a focus on architecture and maintainability.
3. Proficient in various databases technologies (across SQL like PostgresqlDB, NoSQL like MongoDB, and in-memory like Redis) and with exposure on the scalability of such backends.
4. Strong exposure in defining services and ability to contribute towards the stack architecture.
5. Ability to identify bottlenecks and improve performance in a distributed services environment.
6. Knowledge of DVCS like Git etc. is required.
7. Capability and desire to work in a dynamic and fast-paced environment with minimal direction.

It is an added bonus for the applicants to have:
1. Bachelor’s degree from IITs, NITs, and IIITs.
2. Experience in working HTML/CSS and Javascript.
3. Experience of working on data pipeline technologies like Kafka, Druid, Hadoop, and other Apache Data ecosystem projects.

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