System Engineer​/Senior Software Engineer

Job Description

Texas, Austin

07/22/2026

Contract

Active

• Uses AI assistance for common dev tasks (code suggestions, test generation, review support, automation scripts, troubleshooting) with clear ownership for correctness and quality.
• Applies GenAI in ways that reduce context switching and accelerate delivery across typical workflows (not limited to writing new code).
• Demonstrates practical familiarity with Git Hub Copilot and/or Claude Code within IDE/CLI-style workflows.
• Working knowledge of agentic workflows, spec-driven development (translating low-level design artifacts such as class structures, API contracts, and data models into structured specs that guide AI-assisted implementation), and custom instructions and prompt engineering, with the ability to establish team-level practices for effective AI-assisted development.

• Demonstrated exposure to, or hands‑on experience with, GenAI coding assistants used across day-to-day engineering workflows in the SDLC—implementation, refactoring, unit testing, regression support, code reviews, scripting/automation, troubleshooting, and documentation—while applying engineering judgment and validation. Practical familiarity with tools such as Git Hub Copilot or Claude Code is expected.
• Education:
  
  Bachelor’s degree in Computer Science, Software Engineering, or related technical field, or equivalent practical experience.
• Experience:
  • 7+ years of professional software engineering experience in actively developing large scale software using:
    Java, Spring framework, cloud development, and Web Services supporting high volume transactions in a highly available environment.
  • 2+ years of hands‑on experience with AI/ML implementation and production deployment.
  • 6+ years of experience working with containers and microservices in the cloud.
  • 6+ years of experience in cloud deployment in a continuous integration, and continuous delivery model (CI/CD).
• Domain Expertise:
  Understanding of broker-dealer capabilities and operations.
• Communication:
  Excellent communication skills; proven ability to communicate and lead other engineers in a collaborative environment.
• Execution Focus:
  Collaborative mindset coupled with a bias for action to effectively engage with fellow developers, Architects, and adjacent teams, etc.

• Master’s degree in Information Technology, Computer Science, related degree, OR related practical experience.
• Good knowledge of messaging technologies (Rabbit MQ, Kafka, or equivalent).
• Experience in Financial Services industry.
• Experience in Test Driven Development, QA Automation and Quality mindset and behaviors.
• Proficient in developing Visio diagrams, architectural and design documentations, functional and technical specifications, automated test process.
• Willingness to learn all aspects of tech stack and document.
• Ability to research and document production and test environments along with architecture and design work.
• Knowledge of Agile methodology and experience in an Agile working environment.
• Experience with the Atlassian tool stack (JIRA and Confluence).

None mentioned.