Backend Software Engineer

• Design, develop, and deploy robust and scalable backend services using Ruby on Rails, NodeJS, and Java.
• Contribute to the evolution of our microservices architecture, ensuring high availability, fault tolerance, and performance.
• Write clean, efficient, and well-documented code, adhering to best practices and coding standards.
• Collaborate with cross-functional teams, including product, frontend, and QA, to deliver high-quality products.
• Participate in code reviews, design discussions, and knowledge sharing sessions.
• Implement and maintain CI/CD pipelines, promoting automation and continuous delivery.
• Monitor and optimize the performance of backend systems, proactively identifying and resolving issues.
• Champion a quality-driven development approach, including unit testing, integration testing, and performance testing.
• Stay up-to-date with the latest technologies and trends in backend development.

Desktop

• Bachelor's degree in Computer Science or a related field, or equivalent practical experience.
• Proven experience in backend software engineering, building and scaling distributed systems.
• Strong proficiency in at least one of the following programming languages: Node.js, Ruby on Rails, Java
• Solid understanding of object-oriented programming principles and design patterns.
• Hands-on experience designing and implementing microservices at scale.
• Experience with relational and/or NoSQL databases like MySQL, PostgreSQL, MongoDB, ElasticSearch.
• Familiarity with containerization technologies like Docker and orchestration platforms like Kubernetes is a plus.
• Familiarity with AWS cloud services is a plus
• Experience with CI/CD pipelines and tools (e.g., Jenkins, GitLab CI, CircleCI).
• A strong understanding of computer science fundamentals with excellent problem-solving and analytical skills.
• A proactive and collaborative approach to work.
• A passion for building high-quality software and a commitment to continuous improvement.
• Experience working in an Agile environment.

• Length of Experience: 5 + years

• Experience with AWS, Redis, Kafka.
• Exposure to building and deploying ML models in the cloud.
• Experience working in a fast-paced, high-growth environment.