Description

• Self-managing and contributing to the product development activities including both internal projects and joint development projects;
• Conducting end-to-end analysis that includes data gathering and requirements specification, analysis, and ongoing deliverables;
• Writing back-end APIs in Go to manage automated data analytics and machine learning pipelines and training systems, and serve machine learning models on top of Kubernetes;
• Developing and optimising data analysis and transformation Spark applications in Scala/Python;
• Working with the Product and Data Science teams to brainstorm, design the architecture, evaluate technologies, implement POCs, benchmark and productionise the ideas;
• Designing and developing high-level SDKs, sample codes in Python/Java on top of auto-generated gRPC APIs of the platform;
• Building and testing in local/development environment, containerising and deploying applications or services to Kubernetes using Helm charts and GitOps tools;
• Working with the Sales and Marketing team to understand the requirements and support our clients;
• Mentoring and providing training to associate/junior software engineers and interns, motivating them to reach the next level;
• Participating in technical content writing. This may be in the form of product documentation, blog articles highlighting new features and use cases, as and when the need arises;
• Understanding and advocating our long-term vision while working with the management and product teams to define and adapt the same; and
• Contributing to the evangelisation of our product and our culture internally and externally