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Engineering Manager
Jaipur | Full Time
Key Responsibilities:
- 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 plus 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.