WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees.

Hire a full‑stack developer to evolve a POC into a production‑grade, interactive web application featuring data‑driven UX, cloud deployment (Azure/AWS/GCP), serverless functions, and embedded machine learning for forecasting and projections. The role spans front‑end interactivity, back‑end services in Python/.NET, database design and operations (SQL/NoSQL/Dataverse), CI/CD, security hardening, and observability.

Key Responsibilities

• Build interactive, data‑driven web features with modern JavaScript/TypeScript, component frameworks, client‑side routing, and robust state management.
• Design, develop, and maintain back‑end services and APIs using Python (FastAPI/Flask) and/or .NET (ASP.NET Core), including authentication/authorization and role‑based access.
• Model, implement, and operate databases across SQL (PostgreSQL/MySQL/SQL Server), NoSQL (MongoDB/CosmosDB/DynamoDB), and Microsoft Dataverse; own schema design, indexing, and query optimization.
• Deploy to Azure, AWS, or GCP using managed services and serverless (Azure Functions, AWS Lambda, Cloud Functions), including environment configuration, secrets management, and infrastructure-as-code familiarity.
• Integrate and operationalize machine learning models for forecasting/projections (batch and real‑time), including feature pipelines, model packaging, inference endpoints, and monitoring of model performance and drift.
• Establish CI/CD pipelines (GitHub Actions/Azure DevOps/GitLab CI) with automated testing, quality gates, and staged rollouts; maintain preview environments.
• Implement application security best practices: input validation, OAuth2/OIDC, RBAC/ABAC, secrets rotation, least‑privilege IAM, dependency auditing, and secure headers/CSP.
• Set up logging, monitoring, and alerting across front‑end and back‑end (structured logs, metrics, tracing, dashboards); define SLOs and incident response playbooks.
• Optimize performance and cost end‑to‑end: bundle size, caching, API latency, database throughput, serverless concurrency, and cold‑start mitigation.
• Collaborate with product, data, and stakeholders to translate requirements into resilient, testable implementations; write clear documentation and runbooks.

Minimum Qualifications

• 4–8 years in web application development, including at least 2+ years of modern JavaScript/TypeScript in production.
• Strong experience in either Python or .NET, with working competence in the other, building RESTful APIs/services and integrating third‑party APIs.
• Database proficiency:
  • SQL: schema design, complex queries, migrations, and performance tuning.
  • NoSQL: data modeling and trade‑offs for document/column stores.
  • Dataverse: solution packaging, security roles/permissions, and integration patterns.
• Cloud deployment on at least one of Azure, AWS, or GCP, including serverless functions, managed databases, storage, and networking fundamentals.
• CI/CD experience and automated testing across unit, API, and integration layers.
• Monitoring/observability: central logging, metrics, tracing, dashboards, and alerting (e.g., Application Insights, CloudWatch/X‑Ray, Cloud Operations, Datadog, or equivalent).
• Security: OAuth2/OIDC, JWT, CORS, input sanitization, secrets/vaults, dependency vulnerability management.

Preferred Qualifications

• Forecasting/ML deployment: scikit‑learn, Prophet, XGBoost, or exposure to MLOps tools (MLflow/SageMaker/Azure ML/Vertex AI) and scalable inference patterns.
• Infrastructure as Code: Terraform, Bicep, or CloudFormation; environment promotion strategies and policy guardrails.
• Event‑driven and streaming: Event Grid, SNS/SQS, Pub/Sub, Kafka; idempotency and retry/backoff patterns.
• Front‑end frameworks: React/Vue/Angular; performance profiling, accessibility, and testing (e.g., Jest/Playwright).
• Data visualization for operational dashboards (Recharts/ECharts/Chart.js) and accessibility best practices.
• Hardening serverless workloads: cold‑start mitigation, concurrency controls, idempotent handlers, DLQs, and cost monitoring.

Tools and Technologies (Illustrative)

• Front‑end: TypeScript, React/Vue/Angular, Vite/Webpack, CSS/Tailwind.
• Back‑end: Python (FastAPI/Flask), .NET (ASP.NET Core), REST/gRPC.
• Databases: PostgreSQL/MySQL/SQL Server; MongoDB/CosmosDB/DynamoDB; Microsoft Dataverse.
• Cloud/Serverless: Azure Functions/AWS Lambda/GCP Cloud Functions; API Gateway/Front Door/API Management; managed DBs; object storage; queues/events.
• CI/CD and Quality: GitHub Actions/Azure DevOps/GitLab CI; pytest/xUnit/Jest; code quality gates and artifact versioning.
• Observability: Azure Monitor/App Insights, AWS CloudWatch/X‑Ray, GCP Cloud Operations; OpenTelemetry; Datadog/New Relic; optional SIEM integration.
• Security: OAuth2/OIDC (Azure AD/Entra ID/Auth0/Cognito), vaults for secrets, SAST/DAST, dependency scanning.

Should be Graduate.

Effective communication for collaborating with diverse teams, empathy to understand user needs, and the ability to present design concepts.

Collaboration, adaptability, and diplomacy are essential for successful interaction with developers, stakeholders, and global teams.