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Charles Schwab India is hiring for a senior full‑stack engineer to build and scale investment research platforms. You will work on cloud‑ready microservices, data pipelines, and APIs, collaborating with product owners and researchers to translate needs into robust technical solutions.
The role emphasizes scalable design, secure-by-design delivery, and hands‑on development with Java Spring Boot and Python, plus modern DevOps practices to accelerate delivery and reliability.
Job Description:
Your opportunity
At Charles Schwab, our purpose is simple: we champion client’s goals with passion and integrity. Guided by honesty, mutual respect and a commitment to doing what’s right, we bring innovation, education, and service together to help shape financial futures. Our people are the foundation of our success – they approach their work with curiosity and collaboration, coming together to create solutions that make a meaningful impact for clients and communities. As we expand into India, we are bringing this same culture of inclusion, learning, and opportunity to new talent. Joining us means becoming part of a global team where your work matters and your future can take shape.
Our Hyderabad location is central to Schwab’s growth, bringing together talented people and technology to drive innovation, scale and efficiency. Here, you will work alongside teams who create solutions that support millions of clients every day. The work you do is more than daily operations – it’s a chance to experiment, learn, and build within a values‑driven, supportive environment. This is a unique opportunity to be part of our early growth phase and shape something new, backed by the stability and strength of a Fortune 500 company. Your impact begins on day one, and your contributions will help define our future in the region.
Build and deliver full-stack software capabilities for investment research initiatives, contributing hands‑on to design, development, testing, and support.
Translate business needs into clear technical approaches by partnering with product owners, researchers, architects, and engineering peers.
Design and implement cloud‑ready, event‑driven services and integration patterns that improve scalability, reliability, and reuse across the broader platform.
Drive engineering excellence through clean code practices, automated testing, observability, and secure‑by‑design delivery.
Strengthen the team’s delivery model by improving CI/CD workflows and DevOps practices to increase quality and speed to production.
Diagnose and resolve complex production and integration issues using deep application and environment knowledge, while improving long‑term resiliency.
Mentor and support fellow engineers through coaching, feedback, and inclusive collaboration.
Communicate priorities, tradeoffs, and progress with ownership and transparency to both technical and business partners.
Contribute to modernization efforts that improve user experience and align with evolving architecture standards.
Incorporate approved Generative AI capabilities to enhance developer productivity and code quality while following enterprise governance, security, and compliance expectations.
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.
Srong 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.
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.
At Schwab India, you’re empowered to shape your future. We support your growth through meaningful work, continuous learning, and a culture rooted in trust and collaboration – so you can build the skills to make a lasting impact. Our benefits are designed to care for your wellbeing, your family, and your long‑term financial security.