What you have

Role Description:

At Schwab, youre empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us challenge the status quo and transform the finance industry together. Schwab Technology Services enables the future of how clients manage their money by providing innovative and reliable technology products and services as part of our ongoing commitment to democratize access to investing and financial planning. We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s).

Schwab Asset Management Technology supports the research and asset management platforms that help clients plan for their financial futures. Within this organization, the Investment Research Technology team builds and supports applications used by Schwab professionals and clients to make informed investment decisions.

As a Software Engineer (hands-on) for Research Technology, youll lead through impactcontributing code, guiding technical direction, and mentoring others as we modernize key research capabilities across on-premises and cloud environments. Youll partner closely with product, architecture, and research stakeholders in an Agile and DevOps model to deliver secure, scalable solutions that improve the experience for the people who rely on Schwabs research platforms every day.

Key Responsibilities:

- Lead the design and delivery of full-stack software capabilities for investment research initiatives, setting technical direction while remaining hands-on across design, development, and support.
- Partner with product owners, researchers, architects, and engineering leaders to translate business strategy into technical roadmaps and clear delivery plans.
- Own the architecture for cloud-ready, event-driven services and integration patterns, driving scalability, reliability, and reuse across the broader platform.
- Champion engineering excellence across the team through clean code, automated testing, observability, and secure-by-design delivery standards.
- Advance the teams delivery model by maturing CI/CD workflows and DevOps practices to improve quality and speed to production.
- Lead the resolution of complex production and integration issues,



and drive long-term resiliency and operational improvements.
- Grow and develop engineers through coaching, mentoring, feedback, and inclusive collaboration, building team capability and technical depth at scale.
- Set direction with ownership and transparency, communicating priorities, tradeoffs, risks, and progress to technical and senior business stakeholders.
- Drive modernization initiatives that improve user experience and align teams to evolving architecture standards.
- Establish responsible use of approved Generative AI capabilities to improve developer productivity and code quality, within enterprise governance, security, and compliance expectations.

Required Qualifications:

- Bachelors degree in Computer Science, Information Systems, Engineering, or a related technical field, or equivalent practical experience.
- 7+ years of experience developing production-grade applications using Java (Spring Boot) and Python, including senior technical leadership on complex initiatives.
- Demonstrated experience providing technical leadership across teamssetting architecture direction, driving technical decisions, and mentoring engineers.
- 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.
- Interest to work with financial datasets and partner effectively on data engineering workflows and analytics use cases.
- 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 contemporary design patterns.

Preferred 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.

Experience building data visualizations or dashboards using Python-based tooling (e.g., Plotly Dash or similar).

Strong prioritization and communication skills, including comfort explaining complex technical concepts to diverse audiences.

A continuous improvement mindsetbringing ideas that strengthen team delivery, quality, and collaboration.

Experience leading cross-team technical initiatives or influencing engineering practices beyond a single team.

Our base benefits, wellbeing, and total rewards include:

- Competitive compensation and retirement programs including Employee Provident Fund (EPF), Gratuity, and optional National Pension System (NPS) contributions
- Robust Paid Time Off, including annual/privilege leave, sick and casual leave, public holidays, maternity/paternity leave, and more
- Education assistance for continued learning to help you grow
- Comprehensive medical insurance with Outpatient Department (OPD) services, including vaccination, pharmacy, dental, and vision coverage
- Annual reimbursement for health check-ups and mental health support through our Employee Assistance Program (EAP)
- Childcare (creche) reimbursement for eligible employees
- Transportation and meal benefits that support your day-to-day work
- Group life, personal accident, and critical illness insurance

📌 Sr Manager, Software Development Engineering (Java Fullstack) (Hyderabad)
🏢 Charles Schwab
📍 Hyderabad