System Engineer / Senior Software Engineer

Compunnel, Inc.; Austin (TX); On-site; USD 140,000 - 180,000; Full time

Job summary

Compunnel, Inc. in Austin, TX is seeking an experienced software engineer to lead AI-assisted development in a cloud, microservices environment. You will apply GenAI tools, ensure code quality, and mentor peers across the team.

The role requires 7+ years in Java/Spring, 2+ years AI/ML deployment, 6+ years of containers/CI-CD, and strong communication to collaborate with Architects and cross-functional teams.

Qualifications

• Experience with GenAI coding assistants across SDLC including implementation, refactoring, tests, reviews, scripting and debugging.
• Bachelor’s degree in Computer Science, Software Engineering, or related field, or equivalent practical experience.
• 7+ years of professional software engineering with Java, Spring, cloud development and high-volume Web Services.
• 2+ years of AI/ML implementation and production deployment experience.
• 6+ years of containers and microservices in the cloud, plus 6+ years CI/CD.
• Strong communication and leadership abilities; ability to guide other engineers.

Responsibilities

• Uses AI assistance for common dev tasks with clear ownership for correctness and quality.
• Applies GenAI to accelerate delivery across typical workflows and reduce context switching.
• Demonstrates familiarity with Copilot/Claude Code within IDE/CLI workflows.
• Establishes team-wide practices for effective AI-assisted development and prompt engineering.

Skills

GenAI coding assistants

Engineering judgment

Leadership & collaboration

Communication skills

Education

Bachelor's degree in Computer Science or related field

Tools

GitHub Copilot

Claude Code

Job description

Job Description

Texas, Austin

07/22/2026

Contract

Active

Key Responsibilities

• 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 GitHub 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.

Required Qualifications

• 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 GitHub 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.

Preferred Qualifications

• 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).

Certifications

None mentioned.