Cogoport Story
Cogoport is on a mission to bridge the $3.4 trillion Trade Knowledge and Execution Gap, empowering businesses worldwide by simplifying global trade. As a leading Global Trade Platform, we help companies connect with trade partners, optimize logistics, and improve cash flow. Recognized as an Asia-Pacific High-Growth Company (Financial Times) and an Indian Growth Champion (Economic Times), we are expanding across India, China, Vietnam, Singapore, Thailand, and Indonesia.
Why Join Us?
At Cogoport, you'll work with some of the brightest minds in the industry, driving digital transformation in logistics. We foster an entrepreneurial culture, where innovation, impact, and career growth go hand in hand.
Role Overview
We are looking for a Backend Software Development Engineer to join our team and play a crucial role in designing, developing, and maintaining scalable backend systems that power our cutting-edge logistics platform. You will be part of a dynamic engineering team, responsible for building and enhancing robust backend features, ensuring high availability, and contributing to the growth of our platform. Your expertise in Python/Kotlin will be essential in shaping the future of our technology stack and driving innovation.
Responsibilities:
Work on multiple projects, coordinating dependencies and interactions with internal teams and external partners.
Design and develop large multi-tenant applications using Python/Kotlin.
Follow best practices for Python/Kotlin development and ensure they are adhered to across the codebase.
Build reusable backend libraries and modules for future use.
Translate design and wireframes into high-quality, maintainable code.
Write unit tests and adhere to test-driven development (TDD) practices.
Collaborate with QA teams to assist in writing automated integration tests.
Stay up to date with current and future backend technologies and architecture.
Requirements:
Minimum 4-6 years of relevant experience in backend development.
Strong proficiency in Python and/or Kotlin (must have experience in at least one of these languages, and knowledge of the other is a plus).
Experience with backend frameworks like Django, Flask, FastAPI (for Python) or Spring Boot, Ktor (for Kotlin).
Familiarity with cloud platforms such as AWS, Google Cloud, or Azure for deployment and infrastructure.
Strong knowledge of SQL (PostgreSQL, MySQL) and experience in database partitioning and optimization strategies.
Familiarity with NoSQL databases (e.g., MongoDB, Cassandra) is a plus.
Experience with containerization tools like Docker and orchestration with Kubernetes.
Strong version control skills using Git.
Expertise in asynchronous programming concepts and extensive experience with task queues (e.g., Celery, Redis Queue, Sidekiq).
Expertise in continuous integration/continuous deployment (CI/CD) tools like Jenkins, GitLab CI, CircleCI, or Travis CI.
Expertise in microservices architecture and experience leading the implementation of microservices-based solutions.
Proven expertise in unit and integration testing frameworks like PyTest, JUnit, Mock, or similar.
Expertise in modern architectural patterns such as Event-Driven Architecture and Serverless.
Expertise in GraphQL or RESTful API development and integration.
Strong expertise in Data Science or Machine Learning is a significant advantage.