Senior Software Engineer
Charles Schwab7 days ago
Responsibilities
- Build and deliver full-stack software capabilities for investment research initiatives through hands-on design, development, testing, and support.
- Design and implement cloud-ready, event-driven services, APIs, and integration patterns across hybrid on-premises and cloud environments.
- Translate business needs into technical approaches with product owners, researchers, architects, and engineering peers.
- Improve code quality, automated testing, observability, secure-by-design delivery, CI/CD workflows, and DevOps practices.
- Diagnose and resolve complex production and integration issues while improving long-term resiliency.
- Mentor engineers through coaching, feedback, and inclusive collaboration.
- Communicate priorities, tradeoffs, and progress to technical and business stakeholders.
- Contribute to platform modernization and approved generative AI capabilities in accordance with governance, security, and compliance expectations.
Requirements
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related technical field, or equivalent practical experience.
- 7+ years of experience developing production-grade applications with Java, Spring Boot, and Python.
- Experience building cloud-ready, event-driven microservices and APIs using messaging patterns such as Kafka and RabbitMQ.
- Experience designing and building hybrid on-premises and cloud integrations.
- Strong knowledge of SQL and NoSQL technologies, including PostgreSQL, MongoDB, DynamoDB, and Bigtable.
- Ability to work with financial datasets and support data engineering workflows and analytics use cases.
- Experience building data visualizations or dashboards with Python-based tooling such as Plotly Dash.
- Hands-on experience with CI/CD and container-based delivery using tools such as GitHub, Docker, Kubernetes, Bamboo, or Jenkins.
- Working knowledge of secure coding and code quality tools such as SonarQube, CodeQL, and Veracode.
- Knowledge of data structures, algorithms, and modern design principles for maintainable solutions.
- Preferred experience modernizing data platforms or research technology in a regulated industry.
- Preferred familiarity with rules engines such as Drools and data lake patterns for large-scale time series datasets.
- Preferred experience collaborating with quantitative partners to operationalize models using Python or R.
- Ability to balance near-term delivery with long-term architecture evolution and platform scalability.
- Strong prioritization and communication skills, including the ability to explain complex technical concepts.
Benefits
- The role is intended to be performed onsite in the specified location or locations.
- The role is eligible for bonus or incentive opportunities in addition to the salary range.
Tech Stack
Amazon DynamoDBApache KafkaBambooDockerJavaJenkinsKubernetesMongoDBPostgreSQLPythonRRabbitMQSonarQubeSpring Boot
Categories
About Charles Schwab
Charles Schwab is a different kind of investment services firm – one that strives to disrupt the status quo of the traditional Wall Street approach on behalf of our clients. We believe today, as we did on Day 1, that when you find ways to improve the investing experience for your clients, then business results will follow. Follow our company culture at #SchwabLife and see how we give back at #Schwab4Good. Support hours: 7 a.m.–7 p.m. CT or 24/7 at schwab.com/contact-us. Social Media Disclosures: https://www.aboutschwab.com/social-media (#0424-TM8W)