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About the Role

As a Software Engineer on the Quote Plant Market Data Platform team, you will help build, enhance, modernize, and support one of Schwab’s critical real-time market data platforms. This role provides an opportunity to contribute to both the support and modernization of legacy systems while helping drive the platform’s long-term technology evolution. Your application development, analytical thinking, technical troubleshooting, and problem-solving skills will directly support platform resiliency, scalability, and operational excellence. You will work in a collaborative Agile environment and have opportunities to apply automation and emerging AI-enabled capabilities.

Responsibilities

Build, enhance, modernize, and support critical real-time market data platforms.
Contribute to the support and modernization of legacy systems.
Drive the platform’s long-term technology evolution.
Support platform resiliency, scalability, and operational excellence.
Work in a collaborative Agile environment with engineers, technical leads, architects, product owners, quality engineers, and infrastructure partners.
Deliver solutions that strengthen Schwab’s trading platforms and client experience.
Apply automation and emerging AI-enabled capabilities to improve software delivery, observability, troubleshooting, and engineering productivity.

Requirements

Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field.
6+ years of software development experience.
Experience developing applications using Java.
Experience with object-oriented programming and software design principles.
Experience developing and consuming REST APIs and web services.
Experience working in Linux or Unix-based environments.
Experience with relational databases and SQL.
Experience using source control tools such as Git.
Strong analytical thinking and problem-solving skills with the ability to troubleshoot application and production issues.
Ability to communicate clearly and collaborate effectively within Agile teams.
Experience with distributed systems, service-oriented architectures, or event-driven platforms.
Experience with messaging technologies such as Kafka, IBM MQ, RabbitMQ, or similar platforms.
Understanding of concurrency, multithreading, networking, memory management, and performance tuning.
Experience with DevOps practices, CI/CD pipelines, and automation frameworks.
Experience with containerization technologies such as Docker and Kubernetes.
Experience supporting highly available production environments.
Experience working with or supporting legacy C++ applications and participating in modernization efforts involving Java and distributed systems.
Experience working in financial services, trading technology, or market data systems.
Familiarity with real-time market data products, including equities, options, futures, forex, or cryptocurrency data.
Experience with Artificial Intelligence, Generative AI, Large Language Models, Machine Learning, or Agentic AI systems.
Experience building, integrating, or supporting AI-enabled applications, services, or engineering tools.
Familiarity with modern AI platforms and frameworks such as Microsoft Copilot, Azure AI Services, OpenAI, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), or similar technologies.
Experience using AI-assisted development tools to improve software engineering productivity, testing, documentation, code quality, or operational support.
Curiosity and willingness to continuously learn emerging technologies and engineering practices.

Skills

Java
Object-oriented programming
Software design principles
REST APIs
Web services
Linux
Unix
Relational databases
SQL
Git
Analytical thinking
Problem-solving
Agile methodologies
Distributed systems
Service-oriented architectures
Event-driven platforms
Kafka
IBM MQ
RabbitMQ
Concurrency
Multithreading
Networking
Memory management
Performance tuning
DevOps
CI/CD
Automation frameworks
Docker
Kubernetes
C++
Financial services
Trading technology
Market data systems
Artificial Intelligence
Generative AI
Large Language Models
Machine Learning
Agentic AI
Microsoft Copilot
Azure AI Services
OpenAI
Retrieval-Augmented Generation (RAG)
Model Context Protocol (MCP)

Location

On-site

Work Type

On-site
Full-time

Experience Level

6+ years of software development experience

Education Level

Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field

Salary/Compensations

Eligible for bonus or incentive opportunities

About the Company

At Schwab, you’re empowered to make an impact on your career.
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 delivering reliable, innovative technology products and services that support trading, web, mobile, and enterprise applications.
The Quote Plant Market Data Platform team supports one of Schwab’s most important market data platforms, powering real-time data across trading, web, mobile, and enterprise applications.
We are a hands-on engineering team that owns our systems end-to-end, from development and modernization to production support, operational excellence, and automation.
Our success is built on strong collaboration, a willingness to help one another, and a constant focus on improving resiliency, efficiency, and overall client experience.
We enjoy solving complex technical challenges, embracing new technologies, and making a meaningful impact on systems that millions of clients rely on every day.