Senior Manager, Software Development Engineering (Java Fullstack)
Charles Schwab (company site, opens in a new tab)7+ yrsHyderabadHybridDirect career pageEst. 30–48 LPA
Posted 1d ago
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Reach people at Charles Schwab
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Charles Schwab you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Lead design, development, and delivery of full-stack Java (Spring Boot) and Python software for investment research initiatives, owning technical direction and architecture.
- Drive architecture for cloud-ready, event-driven microservices and integrations ensuring scalability, reliability, and reuse across platforms.
- Mentor and grow engineering teams, enhance CI/CD and DevOps practices, and resolve complex production/integration issues to improve quality and operational resiliency.
Minimum Requirements
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or related technical field (or equivalent experience).
- 7+ years of experience developing production-grade Java (Spring Boot) and Python applications with senior technical leadership.
- Experience building cloud-ready, event-driven microservices with messaging systems (Kafka, RabbitMQ) and hybrid on-premises/cloud integrations.
- Proficiency with SQL (PostgreSQL) and NoSQL (MongoDB, DynamoDB), CI/CD tools (GitHub CI/CD, Docker, Kubernetes), and secure coding practices.
Ideal Candidate Profile
- Proven ability to set architecture direction and lead cross-team technical initiatives in complex regulated (financial) domains.
- Experience with financial datasets, investment research technology, and operationalizing quantitative models in regulated environments.
- Strong in engineering standards (SOLID, 12-Factor), proactive in improving team delivery and code quality through automation and mentorship.