Senior Manager of Software Engineering - Java, AWS
JPMorgan Chase View all jobs
- Hyderabad, Telangana
- Permanent
- Full-time
- Provide overall direction, oversight, and coaching for a team of entry-level to mid-level software engineers that work on basic to moderately complex tasks
- Be accountable for decisions that influence teams' resources, budget, tactical operations, and the execution and implementation of processes and procedures
- Ensures successful collaboration across teams and stakeholders
- Identifies and mitigates issues to execute a book of work while escalating issues as necessary
- Provides input to leadership regarding budget, approach, and technical considerations to improve operational efficiencies and functionality for the team
- Creates a culture of diversity, opportunity, inclusion, and respect for team members and prioritizes diverse representation
- Formal training or certification on software engineering concepts and 5+ years applied experience . In addition, 2 + years of experience leading technologists to manage and solve complex technical items within your domain of expertise
- Experience leading teams of technologists
- Ability to guide and coach teams on approach to achieve goals aligned against a set of strategic initiatives
- Experience with hiring, developing, and recognizing talent
- Experience in Computer Science, Engineering, Mathematics, or a related field and expertise in technology disciplines
- Proficiency in Java full stack with Java, React and REST APIs, Web Services and experience in building event-driven Micro Services and Kafka streaming. Experience in Spring Framework and AWS Services in public cloud infrastructure. (S3, Terraform, PostgreSQL DB, Dynamo DB)
- Proficiency with software architectural patterns to build robust and high-performance real-time scalable APIs and Data pipelines consuming high data loads with optimal response times
- Experience in leading and managing multiple high-performance and results oriented teams, providing technical guidance and delivering agnostic, reusable and robust enterprise solutions
- Experience with Cloud technologies, container technologies such as Docker and Kubernetes
- AI/ML experience