Software Engineer III

Trellis Company is hiring a Software Engineer III to join its Distributed Applications team in Round Rock, TX (hybrid). In this role, you will design, build, and maintain a mix of web, mobile, AI-enabled, and legacy applications, with responsibility for production support and technical issue resolution.

This position blends hands-on engineering with technical leadership across the software development lifecycle, including collaboration with architects and cross-functional partners, DevOps and release readiness, and continuous improvement of standards for security, performance, reliability, and observability.

Responsibilities

• Lead and contribute to the design, development, testing, deployment, and lifecycle support of web, mobile, legacy, and AI-enabled applications.
• Convert business and technical requirements into solution designs, technical specifications, and maintainable application components.
• Design and integrate AI/ML capabilities and data pipelines using appropriate frameworks and technologies.
• Provide technical leadership throughout delivery, including architecture and design decisions, estimation, implementation planning, code quality, and release readiness.
• Define and enforce development standards covering security, performance, reliability, maintainability, observability, and regulatory compliance.
• Mentor team members and offer technical guidance across engineering efforts.
• Implement DevOps practices including CI/CD and containerization with Docker/Kubernetes.
• Write and automate test scripts, participate in code reviews, and support performance optimization.
• Participate in peer code reviews and application standards and application performance reviews.
• Provide ongoing production support for business applications through on-call rotation.
• Identify and resolve issues across design, testing, and maintenance using problem-solving and issue analysis.
• Research emerging technologies and propose improvements to processes and delivery outcomes.
• Evaluate and apply AI-enabled technologies to support strategy, improve workflow efficiency, automate routine tasks, and enable data-driven decision making.
• Coordinate cross-functional delivery with Solution Architects, developers, infrastructure, security, data, quality assurance, and business stakeholders, including risk identification and issue resolution.
• Use productivity and collaboration tools such as O365, Copilot, Teams, Jira, and Confluence for meetings, code reviews, and requirements and design discussions.
• Work in a team-oriented environment with the flexibility to work independently.

Requirements

• Bachelor’s degree in Computer Science, Computer Engineering, or related field.
• Five (5) years of total professional experience delivering technology solutions across application development, cloud services, data platforms, automation, AI-enabled technologies, and related software tools.
• Demonstrated experience developing, debugging, testing, deploying, and maintaining Java applications and RESTful web services.
• Hands-on experience with DevOps tooling including Docker, Kubernetes, Jenkins, Maven, Git, and Nexus, along with CI/CD pipelines and cloud deployments in Azure, AWS, or GCP.
• Experience building and delivering AI-enabled application features, including LLM integration, prompt engineering, RAG, or AI agent and workflow automation.
• Experience beyond the minimum requirement may be substituted for the degree on a year-for-year basis.

Technologies

• Java, Python, Spring Boot, Angular, React, TypeScript
• Docker, Kubernetes, CI/CD, Jenkins, Maven, Git, Nexus
• Oracle WebLogic, Tomcat, SQL Server, DB2, MySQL
• EJBs, JPA, JMS, JAX-RS, RESTful APIs, microservices
• Azure, AWS, GCP
• LLM integration, prompt engineering, retrieval-augmented generation (RAG), AI agents, workflow automation
• ETL, COBOL on z/OS
• Observability, DevOps, Continuous Integration and Continuous Delivery / Deployment
• O365, Copilot, Teams, Jira, Confluence

Location

• Hybrid role requiring onsite presence two days per week at the Round Rock, Texas office.
• Remaining workdays may be worked remotely.

Work Environment

• Work may be conducted remotely or in an office environment with a surrounding small cubicle setup.
• Office environment is climate controlled with no substantial exposure to adverse environmental conditions.
• Rotating on-call support is part of the role for web and mobile business applications.

Preferred Qualifications

• Experience with AI/ML and Data Analytics technologies.
• Experience with AI code assistant tools, large language models (LLMs), and AI models.
• Data transformation experience using ETL tools (extract, transform, load).
• Familiarity with migrating legacy systems such as COBOL on z/OS to modern technologies.

Compensation: USD 84,098 - 112,131 per year.

Education: Bachelor’s degree in Computer Science, Computer Engineering, or related field.