Job Description

Manager, Software Development ( Java & AWS )

Department: Development

Employment Type: Full Time

Location: Hyderabad

A Typical Day in the Life Includes:

• Lead and develop engineering teams, including hiring, mentoring, and performance management
• Own end-to-end delivery of platform features from design through production support
• Define and drive technical architecture in collaboration with architects and senior engineers
• Ensure platform scalability, reliability, and performance in production environments
• Establish and enforce engineering best practices, including code quality, testing, and CI/CD
• Collaborate with product management to translate business requirements into technical solutions
• Drive operational excellence, including monitoring, incident management, and continuous improvement
• Ensure systems meet security, compliance, and data protection requirements
• Manage priorities, timelines, and stakeholder expectations for platform delivery
• Foster a culture of accountability, innovation, and continuous learning within the team

Basic Qualifications:

• 12–15 years of total experience in software engineering
• 3–5 years of experience in engineering management or technical leadership roles
• Proven experience building and operating cloud-native SaaS platforms at scale
• Experience working in enterprise product organizations with distributed systems
• Deep expertise in Java, Spring Boot, and backend service development
• Strong understanding of distributed systems, microservices, and event-driven architectures
• Experience with cloud platforms, preferably AWS
• Proficiency with Kubernetes, containerization, and cloud-native deployment models
• Strong knowledge of data storage technologies (SQL/NoSQL) and data modeling
• Familiarity with document management or content management systems
• Understanding of API design, system integration, and data workflows
• Experience with messaging/streaming platforms (e.g., Kafka or equivalent)
• Understanding of observability tools (logging, metrics, tracing) and SRE practices
• Knowledge of software development lifecycle (SDLC) and DevOps practices
• Awareness of AI/ML applications in enterprise systems is a plus
• Strong problem-solving and decision-making skills
• Effective communication and stakeholder management skills