Manager, Software Development & Engineering (Java Fullstack)
On-siteHyderabad, Telangana, India
Job Summary
Build and deliver full-stack software capabilities for investment research initiatives, contributing hands-on to design, development, testing, and support. Translate business needs into technical approaches by partnering with product owners, researchers, architects, and engineering peers to design cloud-ready, event-driven services and integration patterns. Drive engineering excellence through clean code practices, automated testing, observability, and secure-by-design delivery while strengthening the team's delivery model by improving CI/CD workflows and DevOps practices. Diagnose and resolve complex production and integration issues using deep application and environment knowledge, and mentor fellow engineers through coaching and inclusive collaboration. Incorporate approved Generative AI capabilities to enhance developer productivity while following enterprise governance, security, and compliance expectations. Work within an Agile and DevOps model to deliver secure, scalable solutions that improve the experience for Schwab professionals and clients relying on research platforms.
Required Qualifications
- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field, or equivalent practical experience
- 5+ years of experience developing production-grade applications using Java (Spring Boot) and Python
- Demonstrated ability to build cloud-ready, event-driven microservices and APIs at scale using common messaging patterns (e.g., Kafka, RabbitMQ) and RESTful services
- Proven experience designing and building hybrid on-premises and cloud integrations
- Strong working knowledge of SQL (e.g., PostgreSQL) and NoSQL technologies (e.g., MongoDB, DynamoDB, Bigtable), and sound judgment on when to apply each
- Ability to work with financial datasets and partner effectively on data engineering workflows and analytics use cases
- Interest in building data visualizations or dashboards using Python-based tooling (e.g., Plotly Dash or similar)
- Hands-on experience using CI/CD and container-based delivery practices (e.g., GitHub CI/CD, Docker, Kubernetes, Bamboo/Jenkins)
- Working knowledge of secure coding and code quality practices using common analysis tools (e.g., SonarQube, CodeQL, Veracode)
- Demonstrated skill in designing maintainable solutions using established engineering standards (e.g., SOLID principles, 12-Factor App), appropriate data structures, algorithms, and modern design patterns
Desired Qualifications
- Experience modernizing data platforms or research technology in a regulated industry (financial services is a plus)
- Familiarity with rules engines (e.g., Drools) and data lake patterns for large-scale time series datasets
- Working familiarity with investment research, asset management, or another regulated financial data domain (e.g., risk, compliance, or regulatory reporting workflows)
- Experience collaborating with quantitative partners to enable or operationalize models (Python or R)
- Demonstrated ability to balance near-term delivery with longer-term architecture evolution and platform scalability
- Strong prioritization and communication skills, including comfort explaining complex technical concepts to diverse audiences
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.