SDE - 2 - Data Platform

About Us : slice

A new bank for a new India.

slice’s purpose is to make the world better at using money and time, with a major focus on building the best consumer experience for your money. We’ve all felt how slow, confusing, and complicated banking can be. So, we’re reimagining it. We’re building every product from scratch to be fast, transparent, and feel good, because we believe that the best products transcend demographics, like how great music touches most of us.

Our cornerstone products and services : slice savings account, slice UPI credit card, slice UPI, and slice business are designed to be simple, rewarding, and completely in your control. At slice, you’ll get to build things you’d use yourself and shape the future of banking in India. We tailor our working experience with the belief that the present moment is the only real thing in life. And we have harmony in the present the most when we feel happy and successful together.

We’re backed by some of the world’s leading investors, including Tiger Global, Insight Partners, Advent International, Blume Ventures, and Gunosy Capital.

About the role :

The title for this role will be Software Development Engineer - II (Data) as it comes under the Data Platforms team, you will play a pivotal role in our mission to drive innovation and excellence in our software solutions. You will be part of a talented team of engineers and work on challenging projects that will expand your horizons and elevate your skills to new heights. Reporting directly to the Engineering Manager, you will be entrusted with crucial responsibilities and given the autonomy to shape the future of our products.

Note : We are inviting Backend Developers working in Data Platform team of any scalable product companies with similar skillset to apply. This is a hardcore coding role that requires strong technical skills and deep problem-solving abilities.

What You’ll Work On :

• Trino query governance and abuse prevention
• AI-based anomaly detection using Apache Flink
• Designing and maintaining self-healing, SLA-driven pipelines
• Building an LLMOps platform using Ray and MLflow
• Creating zero-SQL tooling for pipeline automation
• Optimizing performance and cost across Spark jobs and EKS clusters
• Building a central governance layer and organizational data maps

You Should Have :

Life at slice :

Life so good, you’d think we’re kidding