Senior Software Engineer

Position :: Senior Software Engineer - Data Engineering & IAM

Location: Plano, TX (5601 Legacy Drive, Plano, TX 75024)

Position Overview

USAA is seeking a highly skilled Senior Software Engineer with strong expertise in Java development, data engineering, microservices architecture, and enterprise data integration . This role will be responsible for designing, developing, and supporting scalable applications and data processing solutions that enable identity risk assessment, account discovery, and data-driven security analysis across the enterprise.

The ideal candidate combines deep software engineering capabilities with hands-on experience building data pipelines, REST APIs, and cloud-native applications. This position requires the ability to work across the full software development lifecycle while partnering closely with architects, engineers, and business stakeholders to deliver secure, scalable, and high-performance solutions.

Key Responsibilities

Software Engineering & Application Development

• Design, develop, and maintain enterprise-grade Java applications using Spring Boot and microservices architecture.
• Build scalable RESTful APIs utilizing security best practices and industry standards.
• Develop highly available and resilient applications that support growing business and data processing needs.
• Participate in architecture discussions, design reviews, code reviews, testing, and production deployments.
• Collaborate with engineering teams to deliver scalable and maintainable solutions.

Data Engineering & Integration

• Design and develop ETL/ELT data pipelines that integrate data from multiple enterprise systems into Oracle databases.
• Build and maintain data processing frameworks used for risk analysis and account discovery.
• Ensure data quality, integrity, reliability, and performance throughout the data lifecycle.
• Support data transformation, correlation, and aggregation processes across multiple sources.
• Develop solutions that scale to increasing data volumes and evolving business requirements.

Identity & Access Management (IAM)

• Support initiatives focused on enterprise account discovery and risk assessment.
• Develop solutions that analyze user and account attributes across multiple systems.
• Enable risk-based decision-making through automated data processing and correlation models.
• Collaborate with information security teams to support IAM-related objectives.
• Contribute to the design and implementation of secure access and identity management solutions.

Production Support & Operational Excellence

• Support application deployment, monitoring, troubleshooting, and production operations.
• Identify root causes of performance issues and implement effective solutions.
• Optimize Java applications, APIs, and database interactions for performance and scalability.
• Implement automation and operational best practices to improve reliability and efficiency.
• Participate in Agile ceremonies including sprint planning, backlog grooming, stand-ups, reviews, and retrospectives.

Required Qualifications

• 5+ years of experience in Software Engineering and Data Engineering.
• 5+ years of hands-on Java development experience.
• 5+ years of experience developing Spring Boot applications.
• Experience building and deploying applications using microservices architecture.
• Experience with containerization technologies including:
  • Docker
  • Kubernetes
  • OpenShift
• Experience developing and supporting CI/CD pipelines.
• Strong experience designing and developing RESTful APIs.
• Experience with Oracle databases and enterprise data integration solutions.
• Experience building ETL/ELT data pipelines.
• Strong troubleshooting, performance tuning, and optimization skills.
• Experience working in Agile development environments.
• Strong communication and collaboration skills.

Preferred Qualifications

• Experience with Identity and Access Management (IAM) solutions.
• Experience with enterprise security applications and risk analysis platforms.
• Experience with Kafka or event-driven architectures.
• Experience with Python development.
• Experience with distributed systems and cloud-based solutions.
• Experience working with large-scale enterprise data platforms.