Software Engineer

About the role

Software Engineer supports delivery by building and enhancing enterprise application components, integrations, and data structures using an AI-first engineering approach. This role sits within IT, aligned to HCM Portfolio Leadership, and supports forward-deployed engineering (FDE) delivery teams.

Responsibilities

• Build and enhance full stack application components across front-end, back-end, and integration layers, under the guidance of senior engineers supporting enterprise solution delivery, including initial releases and iterative enhancements.
• Contribute to solutions using an AI-first mindset, incorporating AI-enabled workflows and automation where appropriate and supportable within IT standards.
• Develop and support API-based integrations and batch/mass data processing workflows under established architectural patterns.
• Assist with data modeling, database design, and data structuring to support scalable and maintainable solutions.
• Collaborate with senior engineers, business stakeholders, and IT delivery partners in a cross-functional, FDE model to move solutions from concept to production.
• Support testing, deployment, and post-release sustainment activities, including defect resolution and minor enhancements.
• Follow enterprise standards and controls (e.g., security, access, change/release, testing), including additional controls for systems subject to ITGC/SOX where applicable.
• Learn and apply enterprise platforms and emerging AI-enabled capabilities aligned to the broader application ecosystem.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
• 2 to 4 years of experience in software engineering or application development roles.
• Hands-on experience developing or contributing to full stack applications, including back-end services (e.g., Python) and modern JavaScript frameworks (e.g., React.js, Next.js, TypeScript).
• Experience building or consuming APIs and supporting system integrations.
• Foundational understanding of databases and data structures.
• Experience using source control tools such as GitHub.
• Exposure to SDLC practices, including development, testing, deployment, and sustainment.
• Interest in learning and applying AI-enabled workflows and automation in real-world enterprise solutions.
• Ability to work within cross-functional delivery teams and take direction from senior engineering leads.
• Strong written and verbal communication skills and willingness to learn the HR business domain supported by the applications.

Qualifications

• Familiarity with HR or workforce platforms such as Workday or related staffing, finance, or resource management systems.
• Exposure to cloud platforms such as Microsoft Azure.
• Experience with CI/CD tools (e.g., GitHub Actions, Azure Pipelines).
• Experience working in iterative, pod-based delivery models with reusable patterns and enterprise controls.
• Demonstrated curiosity, coachability, and desire to grow technical depth over time.

Skills

• Full Stack Development
• AI/ML Integration
• API Development
• Data Modeling
• Source Control
• SDLC Practices
• Cloud Platforms
• CI/CD Tools

Benefits

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Pay

Competitive compensation based on experience and qualifications.

Schedule

Flexible schedule to accommodate project needs.