Engineering Manager

In this role based in Jaipur as a Full Time employee, with 12+ years of experience, you will be working in a WFO environment. As a technical leader, you will have the opportunity to: - Lead and manage a multidisciplinary engineering team, delivering high-quality solutions in Java, Python, Cloud-Native Architectures, and AI/ML applications. - Provide hands-on technical guidance, code reviews, and architectural direction in Java (Spring Boot, JPA, REST APIs) and Python (Flask, FastAPI, Data Pipelines, ML Workflows). - Collaborate with Sales and Business Development teams to support presales efforts, including client consultations, solution architecture, and proposal creation. - Define and implement scalable, secure, and maintainable technical architectures using Java and Python integrated with Cloud platforms such as AWS, Azure, or GCP. - Drive best practices in DevOps (CI/CD pipelines, containerization with Docker/Kubernetes), code quality, and testing strategies. - Mentor team members across different experience levels, nurturing a culture of engineering excellence, continuous learning, and collaborative innovation. - Actively engage with clients to understand requirements, present technical solutions, and ensure their satisfaction with project outcomes. - Stay abreast of emerging trends in Java, Python, AI/ML, Cloud-Native development, and other relevant areas to guide the team toward modern, efficient solutions. - Contribute to identifying new business opportunities and help evolve the company's technical capabilities. Qualifications: - 12+ years of experience in software engineering, with strong proficiency in Java and Python as primary languages. - Proven experience in leading and scaling technical teams, with a history of delivering complex, cross-functional projects. - Strong knowledge of Java-based backend development (e.g., Spring Boot, Hibernate, Microservices) and Python for Data Engineering/AI/ML. - Deep understanding of cloud computing concepts and hands-on experience with one or more cloud platforms (AWS, Azure, GCP). - Experience in building and deploying containerized applications using Docker and Kubernetes. - Demonstrated success in presales activities, solutioning, and engaging directly with enterprise clients. - Strong understanding of DevOps best practices, including CI/CD automation, infrastructure as code, and monitoring. - Excellent interpersonal, leadership, and communication skills, with an ability to explain technical concepts to both engineering and business stakeholders. - A growth mindset with a strong passion for technology and continuous learning.,