Required Experience and Qualifications
Bachelor’s degree in computer science, Engineering or a related discipline.
7+ years of full-stack software engineering experience, including delivery of enterprise applications to production.
Strong experience with React or Angular and backend development using Python, C#/.NET or Node.js/TypeScript.
Demonstrated experience with REST APIs, microservices, authentication, authorization and secure coding practices.
Hands-on experience with Microsoft Azure application services, data services, Key Vault, monitoring and Azure DevOps.
Experience integrating LLM-based services, RAG or enterprise search into application workflows.
Ability to lead technical delivery, troubleshoot complex issues and communicate design decisions to technical and non-technical stakeholders.
WSP-Aligned Technology Stack
The role will use and support the approved enterprise stack below. Equivalent technologies may be considered only where formally approved through WSP architecture, security and governance processes.
Cloud platformMicrosoft Azure
AI servicesAzure OpenAI, Azure AI Search, Azure AI Document Intelligence, Azure Machine Learning and approved Azure AI services
Application hostingAzure App Service, Azure Functions and Azure Kubernetes Service where architecturally approved
Data and securityAzure Storage, Azure Key Vault, SQL and approved NoSQL services
Engineering lifecycleAzure DevOps, Git, CI/CD, automated testing, Azure Monitor and approved observability services
ArchitectureREST APIs, microservices, event-driven and serverless patterns, secure API-first integration
Expected Outcomes
Deliver secure, scalable and supportable AI-enabled applications from design through production.
Improve engineering quality through reusable architecture, automated testing, code review and observability.
Provide senior technical leadership and reduce delivery risk across the AI product portfolio.
Preferred Qualifications
Microsoft Azure Developer, Solutions Architect or DevOps certification.
Experience with AKS, Docker, event-driven or serverless architectures.
Knowledge of AI evaluation, observability and responsible AI controls.
Experience delivering solutions in a global engineering, consulting or GCC Environment
Ways of Working
- Collaborate effectively with Middle East stakeholders, GCC delivery teams, product owners, engineering specialists and enterprise technology functions.
- Work within WSP standards for architecture, cybersecurity, data protection, responsible AI, quality assurance and delivery governance.
- Communicate clearly, document decisions and support transparent delivery reporting across distributed teams.
BGV
Employment with WSP India is subject to the successful completion of a background verification (“BGV”) check conducted by a third-party agency appointed by WSP India.
Candidates are advised to ensure that all information provided during the recruitment process — including documents uploaded — is accurate and complete, both to WSP India and its BGV partner”.
