Digital-first bank building cloud-native payments and lending in India
Slice is a software-first bank in India operating a Kubernetes-based infrastructure on AWS with a heavy machine-learning tilt (adopting Ray and MLOps, shipping anomaly detection on Flink). The project backlog reveals a company mid-infrastructure transformation: cloud-native adoption, CI/CD automation, and an emerging AI backbone for risk detection—paired with visible pain around query governance and developer velocity, suggesting they're scaling from startup-style tooling into platform-grade systems. Engineering dominance in the hiring mix aligns with this internal-platform and AI-infrastructure focus.
Slice operates as a digital bank offering a savings account, UPI credit card, fixed deposits, lending products, and UPI-native ATMs and branch services to consumers in India. Founded in 2016 and backed by Tiger Global, Insight Partners, Advent International, Blume Ventures, and Gunosy Capital, the company employs 1,001–5,000 people across engineering, product, data, finance, security, and ops. The stack reflects a modern fintech architecture: containerized workloads (Kubernetes, AWS EKS), streaming analytics (PySpark, Apache Spark, Flink), and observability/governance tooling (Spinnaker, ArgoCD, Jenkins). Current roadmap priorities include next-generation payments infrastructure, scalable internal platforms, and AI-driven credit-loss mitigation.
Slice runs Kubernetes on AWS EKS with Go, Python, and Java backends. Data processing uses PySpark, Apache Spark, and Ray; CI/CD is orchestrated via Spinnaker, ArgoCD, and Jenkins. Security stack includes AWS Security Hub, GuardDuty, and KMS.
Active projects include cloud-native infrastructure adoption, Kubernetes and AWS scaling, AI anomaly detection with Flink, an LLMOps platform, CI/CD optimization, and next-generation payments and lending infrastructure.
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