Contribute to Agile product development through sprint planning, backlog refinement, estimation, Scrum ceremonies, and incremental delivery.
Establish and promote engineering excellence through code reviews, testing strategies, quality assurance practices, security reviews, and CI/CD automation.
Work closely with Product Owners, Business Analysts, Architects, and Delivery Managers to translate business requirements into scalable technical solutions.
Evaluate emerging technologies, frameworks, and cloud services, providing recommendations that improve scalability, maintainability, developer productivity, and business value.
Mentor engineers and foster adoption of modern software engineering practices, DevOps culture, and continuous improvement across teams.
Skills / Qualifications
Required Qualifications
Bachelor's degree in Computer Science, Engineering, or a related field.
8-12 years of experience designing, building, and delivering scalable enterprise and cloud-native applications.
Strong hands-on experience with modern backend technologies such as .NET Core/C#, Node.js (TypeScript/JavaScript), Python, or similar frameworks.
Experience building modern web applications using frameworks such as Angular, React, or equivalent frontend technologies.
Strong understanding of API-first design, microservices architecture, event-driven systems, and distributed applications.
Experience developing and deploying solutions on cloud platforms, preferably Microsoft Azure, including modern cloud services and serverless architectures.
Proficiency with source control, DevOps, and CI/CD practices using tools such as Git, Azure DevOps, GitHub, and automated deployment pipelines.
Familiarity with containerization and orchestration technologies such as Docker and Kubernetes.
Ability to evaluate and adopt modern technologies, frameworks, and engineering practices to build secure, maintainable, and scalable solutions.
Strong communication and collaboration skills, with the ability to work effectively across technical and non-technical stakeholders.
Preferred Qualifications
Experience integrating ML/AI components into applications.
Familiarity with data engineering workflows.
Experience working in environmental, infrastructure, or engineering domains.
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”.
