Top Tech Jobs & Startup Jobs

Build and own end-to-end operational modules for the CX Platform, spanning React interfaces, Node.js services, REST APIs, data models, and secure aggregation layers. Design high-density internal tools, enforce authorization and data isolation, optimize workflows, and collaborate with business stakeholders to improve operational efficiency. Mentor peers, contribute to architectural decisions, and maintain high engineering standards across frontend and backend systems.

Design and build a scalable Internal Developer Platform (IDP) using Kubernetes and cloud-native services, improve CI/CD and DX, enforce platform governance and security, lead MLOps/LLM infrastructure, mentor engineers, and align platform roadmap with product goals.

Design, build, and optimize foundational microservices and infrastructure for a high-growth financial platform. Improve resilience, scalability, performance, observability, incident response, and automated recovery. Set architectural direction, establish shared API and event-driven standards, collaborate across engineering teams, mentor engineers, and deliver production-ready software rapidly in a CI/CD environment.

Architect and develop scalable backend microservices for payments, disbursements, or governance, risk, and compliance systems. Build secure financial workflows, integrate Google Cloud services, manage infrastructure handling millions of daily requests, and collaborate across product, operations, and compliance teams. The role also includes mentoring engineers, improving platform capabilities through analytics and feedback, and implementing secure, high-performance distributed systems.

Architect and develop scalable backend microservices for payments, disbursements, or governance, risk, and compliance. Design secure, high-performance infrastructure handling millions of daily requests, integrate Google Cloud services, implement financial workflows, and collaborate with product, operations, and compliance teams. Mentor junior engineers, promote engineering best practices, and continuously improve platform capabilities using analytics and user feedback.

Own strategy for a reusable lending platform and identity data platform. Define identity and authentication flows, data schemas, and API design. Align engineering, fraud, compliance, and partner banks. Drive KPIs, AI-enabled identity decisioning, and platform adoption. Start as a strategist and build a team to scale lending products.

Lead Fraud Data Scientist to define ML strategy, build and productionize fraud detection models (supervised and unsupervised), investigate emerging fraud patterns, run experiments, collaborate with Product/Engineering/Risk, and maintain dashboards tracking fraud KPIs.

Lead the fraud data science function: define ML strategy, build and productionize fraud and lending-fraud models, run advanced analyses (clustering, network analysis), design A/B tests, integrate ML with rules engines, monitor models in cloud, and communicate results to stakeholders.

Lead the fraud ML strategy and end-to-end development of real-time fraud detection models. Mentor data scientists, design credit/lending fraud models, perform unsupervised and network analyses, run A/B experiments, deploy and monitor models in cloud, and build dashboards to report KPIs and support cross-functional stakeholders.

Lead the fraud data science function: define ML strategy, build and deploy real-time fraud detection models, investigate fraud patterns (including lending fraud), run experiments, collaborate with stakeholders, and maintain monitoring and dashboards to minimize fraud losses.