Data Engineering and Analytics – AI/ML
Zensar
Data Engineering and Analytics – AI/ML
Zensar
Global IT services for digital transformation
• Strong hands-on React and Node.js development.
• API design and integration for customer-facing applications and services.
• Practical experience using GitHub Copilot or a comparable AI coding assistant; GitHub Copilot is preferred for this role.
• Ability to formulate effective prompts and provide useful codebase and requirements context.
• Strong code-review, debugging, and testing skills, including the ability to verify and improve AI-generated output.
• Experience guiding engineering practices or mentoring developers.
• AWS Cognito, ODL, RSA, authentication, identity, or MFA integration.
• OIDC/SAML federation or enterprise integration experience.
• Experience applying AI coding tools to test generation, refactoring, debugging, and technical documentation.
• Hands-on with AWS CodeCommit, Amplify, CodePipelines
Lead implementation across React customer journeys and Node.js services/APIs.
• Set team practices for supplying coding assistants with relevant repository, requirements, design, and test context.
• Coach developers on effective prompts and AI-supported prototyping (“vibe coding”), followed by code review, testing, and hardening.
• Use GitHub Copilot to support implementation, refactoring, test creation, debugging, and documentation.
• Review AI-generated code for correctness, security, maintainability, accessibility, performance, and alignment with architecture and API contracts.
• Guide integration with AWS Cognito, ODL, RSA, and approved enterprise services as assigned.
• Support integration testing, UAT, defect resolution, production readiness, and hypercare.
• Reinforce approved security and privacy practices when using AI tools; do not submit credentials, customer data, or restricted information to unapproved tools.
Digital solutions and IT services company that partners with global organizations to drive digital transformation. Its offerings include intelligent automation, analytics, hyperconverged infrastructure, and digital application development and maintenance, delivered through long-term contracts, project-based engagements, and managed services. Indigo Slate handles virtual event creation. Zensar’s Living AI integrates artificial intelligence into business processes to boost outcomes. Unlike many competitors, it emphasizes reducing capital expenditure (Capex) and operating expenditure (Opex), simplifying vendor management, and improving efficiency through automation. The overall goal is to help clients adapt to the digital landscape, optimize technology infrastructure, and achieve higher operational efficiency.
Explore more opportunities at Zensar