Software Engineer- II & III (Backend)

As a Software Engineer at Attentive.ai, you will be an integral part of our engineering team, contributing to the development and maintenance of various software products. Your role will involve working on the development of new smart web applications and contributing to the internal ML/AI and processing pipelines. You will have the opportunity to work in an inspiring environment alongside ambitious individuals, where you will have the freedom to implement your own designs, solutions, and creativity. Your responsibilities will include taking complete ownership of the development and production pipelines of internal tools and consumer-facing products. You will be responsible for ensuring high performance, reliability, and availability of hosted deep learning and geoprocessing services. This will involve translating high-level tasks and product requirement documents into technical design documents and developing scalable, maintainable, and readable codebases. You will also be involved in developing high and low-level system designs for new projects, as well as setting up monitoring and logging infrastructure for all deployed software. Additionally, you will be required to evaluate, profile, and enhance the functionality of existing systems, as well as coordinate with internal teams to understand data processing pipelines and provide technical solutions. You will also play a key role in leading teams of junior developers, ensuring high code quality through code reviews and automated linting. To be successful in this role, you should have a minimum of 4 years of work experience in Backend development, preferably using Django, Frontend development, and Software Design/Architecture. Knowledge of messaging services like Apache Kafka and RabbitMQ, experience in developing data processing pipelines, and familiarity with distributed web services development are essential. You should be internally motivated, capable of working independently as well as in a team environment, and have an understanding of cloud services such as AWS and GCP. Experience with DevOps technologies like Docker, Kubernetes, Jenkins, and CI/CD is preferred. Good to have qualifications include experience with PostGIS or any other geo-database, developing production versions of deep learning applications, understanding of Geographic Information Systems and related terminologies, and experience working in both startup and enterprise cultures.,