Test Data Developer

At Genpact, we don’t just keep up with technology—we set the pace. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment. G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. com and on LinkedIn, X, YouTube, and Facebook. Inviting Applications for the role of Senior Principal Consultant – AI-Native API Developer (Backend Lead) In this role, you will lead the planning, execution, and delivery of complex software or digital transformation projects. We are seeking an AI-Native API Developer (Backend Lead) to design, develop, and maintain backend microservices and APIs within our enterprise-grade, cloud-native ecosystem for the Global BaaS platform. This role focuses on domain-owned backend services (Payments, Collections, Cash Management) and ensures secure, observable, and AIaugmented service delivery.. The group is expanding to cater to the growing number of varied and exciting projects and customers. Platform/Global BaaS Engineers. - Integrate with Azure Key Vault / HashiCorp Vault for secret management. - Build resilient microservices using Java 17+ (Spring Boot 3) and Python 3.11+ (FastAPI) TypeScript for backend utilities only (Node.js). - Implement event-driven business workflows with Apache Kafka (Kafka Streams), using a schema registry for Avro/JSON schema governance. - Istio or Linkerd) for east-west security, policy enforcement, Integrate vector databases and RAG pipelines for semantic enrichment in API responses Apply LLMOps/AI governance practices: prompt/version control, data minimization, and Build and maintain CI/CD pipelines (GitHub Actions) and GitOps deployments with manage IaC with Terraform and Packer. - Instrument observability and AIOps: Datadog AI, Dynatrace Davis, Prometheus, ELK; 7+ years in backend/API engineering; proven domain experience in Payments or Cash Strong expertise with Java (Spring Boot) and Python (FastAPI). - Hands-on experience with Kafka, schema registries, PostgreSQL, Redis. - Experience with Kubernetes (AKS), service mesh, Terraform, GitOps (ArgoCD). - Familiarity with Datadog AI/Dynatrace and AI-assisted observability. - Proficiency in English and Spanish (tested). Languages: Java 17+ (primary), Python 3.11+ (secondary), TypeScript (developer utilities) - Frameworks: Spring Boot 3, FastAPI - API Gateway / Management: Apigee Hybrid (primary), Azure API Management (regional) - Messaging & Events: Apache Kafka, Confluent Schema Registry, Kafka Streams - PostgreSQL, Redis, Vector DB (e.g., Pinecone or Redis Vector) - Docker, Kubernetes (AKS primary; Istio/Linkerd) - CI/CD & IaC: GitHub Actions, ArgoCD, Terraform, Packer - Observability & AIOps: Datadog AI, Dynatrace Davis, Prometheus, ELK, MAISA AI - OAuth 2.1, OIDC, mTLS, Azure Key Vault, HashiCorp Vault Use GenAI-assisted tooling (ChatGPT Enterprise, GitHub Copilot, Azure AI) under governed workflows for code scaffolding, unit-test generation, and documentation. - and data lineage. - Implement LLMOps processes: model & prompt versioning, test suites for hallucination control, and audit trails Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.