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We are seeking a highly skilled and experienced Engineering Manager who brings a strong background in technical leadership, engineering management, project management, and task management. The ideal candidate will have substantial hands-on development experience in either frontend (web development) or backend technologies (Node.js and JavaScript), coupled with proven team leadership abilities. This role is perfect for a professional from a product-oriented organization who is ready to lead a dynamic engineering team towards delivering high-quality, scalable solutions.
Wadhwani Foundation is a high-growth, not-for-profit tech organization dedicated to social good. Over two decades since its inception in 2001, the foundation with worldwide presence has focused on a simple, powerful mission: accelerating job growth and enabling millions to earn a family-sustaining wage and lead a dignified life.
The Foundation is positively impacting the lives of millions of individuals across multiple countries in Asia, Africa, and Latin America through its four core initiatives: Entrepreneurship, Skilling, Innovation & Research, and Government Digital Transformation.
Job ID: 122962737
Skills:
domain driven design , rackspace , Java J2ee, Node, Continuous Integration, Unit Testing, Agile Scrum, Microservices, Ios, Java, Android, Gcp, Mvc, React Native, Amazon, Azure, Restful Services, distributed cloud-based environment, automated integration tests, Go, Ecommerce, Static Analysis, Web applications development, scalability engineering, cloud-native web applications, massive-scale performance
Skills:
Java, C, Javascript, Python, Agile tracking and process management tools
Skills:
Android, Testing Automation, Macos, Cloud Technologies, Sdlc, Ios, feature flags, gating, secure web development fundamentals, fault-tolerant systems, release orchestration
Skills:
Business Process Automation, Enterprise Applications, Automation Tools, Web Applications, Software Engineering, Digital Transformation, modern development frameworks, internal tools, automation platforms, workflow automation, AI-enabled automation tools, AI-assisted engineering, workflow systems
Skills:
production readiness , secure sdlc , Apis, Automated Testing, DevSecOps, Distributed Systems, Kubernetes, AWS, data pipelines, Reliability, cloud-native applications, AI-assisted development, infrastructure as code, scalable web platforms, observability