Test Data Developer
hace 2 días
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 AI‐augmented service delivery. The group is expanding to cater to the growing number of varied and exciting projects and customers. Integrate with Azure Key Build resilient microservices using Java 17+ (Spring Boot 3) and Python 3.11+ (FastAPI) where appropriate. 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, and observability. Integrate vector databases and RAG pipelines for semantic enrichment in API responses where applicable. Apply LLMOps/AI governance practices: prompt/version control, data minimization, and audit logging for AI‐driven features. Build and maintain CI/CD pipelines (GitHub Actions) and GitOps deployments with ArgoCD; 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 Management. 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). Frameworks: Spring Boot 3, FastAPI PostgreSQL, Redis, Vector DB (e.g., Pinecone or Redis Vector) CI/CD & IaC: GitHub Actions, ArgoCD, Terraform, Packer Observability & AIOps: Datadog AI, Dynatrace Davis, Prometheus, ELK, MAISA AI Use GenAI‐assisted tooling (ChatGPT Enterprise, GitHub Copilot, Azure AI) under governed workflows for code scaffolding, unit‐test generation, and documentation. ensure PII‐safe retrieval 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. #
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