Engineering Manager
Job Description Key Responsibilities : Thrives on building AI-powered solutions and working with the latest modern technology stack Loves collaborating with diverse teams to create world-class software Is excited about mentoring and guiding talented engineers to achieve their full potential Has a strong background in leading engineering teams and delivering impactful results Leadership & Team Management: Lead, mentor, and manage a team of engineers, providing guidance and fostering a culture of collaboration, innovation, and high performance. Conduct regular performance reviews, provide constructive feedback, and ensure ongoing professional development for team members. AI-powered solutions, Act as a liaison between the engineering team and other departments, ensuring alignment of technical goals with business objectives. Oversee the design, implementation, and optimization of scalable CI/CD pipelines to ensure efficient deployment cycles. Implement and drive best practices in DevOps, infrastructure automation, and cloud-native technologies (AWS, Azure, GCP, Kubernetes, Docker, Terraform, etc.). Ensure high availability, reliability, and performance of production systems and services through proactive monitoring and automated recovery solutions. Microservices Architecture : Design, implement, and optimize microservice-based architectures for scalable, resilient, and secure applications. Work closely with architects and engineers to define clear service boundaries, API standards, and inter-service communication strategies. Lead efforts for system refactoring, ensuring that microservices are optimized for maintainability and scalability Stay current on emerging trends in AI/Gen AI/ ML and ensure the team adopts relevant technologies to maintain a competitive edge. Quality Assurance & Technical Excellence : Ensure a high level of code quality, maintainability, and efficiency by enforcing code reviews, testing standards, and documentation. Foster a culture of continuous improvement by identifying and addressing technical debt, implementing monitoring and logging best practices, and optimizing systems for performance. Actively contribute to the resolution of complex technical issues and drive innovation through research and development. Requirements Exceptional leadership and mentoring skills, with a focus on fostering a collaborative and inclusive team environment. Deep understanding of cloud infrastructure and microservices best practices. Experience with container orchestration platforms like Kubernetes, and configuration management tools (Terraform, Ansible). Knowledge of machine learning tools and libraries (TensorFlow, PyTorch, scikit-learn) is a plus. Excellent problem-solving, communication, and interpersonal skills. Ability to work in a fast-paced environment and manage competing priorities. NetWeb Software – A Brief NetWeb provides innovative products and reliable professional services to business enterprises around the globe for past 26 years. The company has built up a core competence in creating and deploying cost-effective capability using an offshore-centric business model. The company’s offices are based in Florida, USA, Swindon, UK, Hyderabad, Pune and Vadodara, India. We have professional associates in Australia, Middle East, Turkey, & Netherlands. Our competitive advantages include a pool of highly competent professionals, a strong management team, strategic offshore location, extreme cost-effectiveness, an ISO-9001:2015 and ISO 27001:2013 certified Quality Management System and over twenty years of successful performance. NetWeb is committed to long-term customer relationships. We function as a seamless extension of our client’s organization and share a common perspective and understanding of their business imperatives. Our business model requires all engagements to be long-term relationships that include the potential to develop a partnership between the two companies. Weblink: www.netweb.biz Email id: careers@netweb.biz Contact no.: +91 6351899910/ +91 6351899912. Requirements Key Responsibilities: Thrives on building AI-powered solutions and working with the latest modern technology stack Loves collaborating with diverse teams to create world-class software Is excited about mentoring and guiding talented engineers to achieve their full potential Has a strong background in leading engineering teams and delivering impactful results Leadership & Team Management: Lead, mentor, and manage a team of engineers, providing guidance and fostering a culture of collaboration, innovation, and high performance. Conduct regular performance reviews, provide constructive feedback, and ensure ongoing professional development for team members. AI-powered solutions, Act as a liaison between the engineering team and other departments, ensuring alignment of technical goals with business objectives. Oversee the design, implementation, and optimization of scalable CI/CD pipelines to ensure efficient deployment cycles. Implement and drive best practices in DevOps, infrastructure automation, and cloud-native technologies (AWS, Azure, GCP, Kubernetes, Docker, Terraform, etc.). Ensure high availability, reliability, and performance of production systems and services through proactive monitoring and automated recovery solutions. Microservices Architecture: Design, implement, and optimize microservice-based architectures for scalable, resilient, and secure applications. Work closely with architects and engineers to define clear service boundaries, API standards, and inter-service communication strategies. Lead efforts for system refactoring, ensuring that microservices are optimized for maintainability and scalability Stay current on emerging trends in AI/Gen AI/ ML and ensure the team adopts relevant technologies to maintain a competitive edge. Quality Assurance & Technical Excellence: Ensure a high level of code quality, maintainability, and efficiency by enforcing code reviews, testing standards, and documentation. Foster a culture of continuous improvement by identifying and addressing technical debt, implementing monitoring and logging best practices, and optimizing systems for performance. Actively contribute to the resolution of complex technical issues and drive innovation through research and development.