Software Engineer-I (Backend)

As a Software Engineer-I (Backend) at Attentive.ai, you will join our engineering team in developing and maintaining various software products. You will be a crucial part of our team in building new smart web applications and contributing to the development of internal ML/AI and processing pipelines. You will have the freedom to implement your own designs, solutions, and creativity in an inspiring environment filled with ambitious individuals. **Key Responsibilities:** - Take complete, end-to-end ownership of development and production pipelines for internal tools and consumer-facing products. - Ensure high performance, reliability, and availability of hosted deep learning and geoprocessing services. - Translate high-level tasks and product requirement documents into technical design documents and scalable, maintainable, and readable codebases. - Develop and implement high and low-level system design for newer projects. - Develop scripts and set up infrastructure for monitoring and logging for all deployed software. - Evaluate, profile, and enhance the functionality of existing systems. - Coordinate with internal teams to understand data processing pipelines and provide technical solutions. - Lead teams of junior developers effectively and ensure high code quality through code reviews, automated linting, etc. **Qualifications Required:** - 2 years of work experience in Backend development (preferably Django), Frontend, and Software Design/Architecture. - Knowledge of messaging services like Apache Kafka, RabbitMQ. - Experience in developing data processing pipelines. - Experience in distributed web services development and chaining. - Internally motivated, able to work proficiently both independently and in a team environment. - Understanding of cloud services like AWS and GCP. - Experience with DevOps technologies such as Docker, Kubernetes, Jenkins, CI/CD, etc. **Good To Haves:** - Experience with PostGIS or any other geo-database. - Experience in developing production versions of deep learning applications. - Understanding of Geographic Information Systems and related terminologies is preferred. - Experience working in both start-up and enterprise culture.,