Solutions Engineer – Early Career

• Turn real business problems across Nerdio into prototypes, automations, and internal applications
• Experiment with new AI models, APIs, frameworks, SDKs, and developer tools
• Build proofs of concept, gather feedback, and help determine which ideas are worth continuing
• Build AI-powered workflows, agents, and internal tools
• Integrate AI systems with internal business platforms and data sources
• Test AI behavior, investigate failure modes, and improve reliability
• Build and maintain features across internal web applications
• Build APIs, backend services, integrations, dashboards, and user-facing features
• Debug issues across the application stack and participate in code reviews
• Deploy and operate applications in Microsoft Azure
• Work with GitHub Actions and CI/CD pipelines
• Help diagnose deployment and production issues
• Write queries and work with relational data used by dashboards, reporting, and AI applications
• Help identify data quality issues and improve application data usage
• Work directly with Sales, Customer Success, Support, Product, Engineering, Operations, Finance, and Security
• Demonstrate tools and features to internal users, gather feedback, and contribute to documentation
• Learn and follow practices around identity, authentication, secrets, permissions, data handling, dependencies, and application security

Requirements

• Bachelor's degree in Computer Science, Information Technology, Engineering, Cybersecurity, Data Science, or a related technical field, or equivalent hands-on technical experience
• Demonstrated ability to build software through coursework, internships, personal projects, open-source contributions, employment, or similar experience
• Working knowledge of at least one modern programming language
• Experience with JavaScript or TypeScript is especially useful
• Basic understanding of APIs, databases, web applications, and software development fundamentals
• Familiarity with Git and source control concepts
• Experience using modern AI tools for technical work, or a strong interest in learning AI-assisted software development
• Ability to read code, reason about what it is doing, and troubleshoot problems
• Strong curiosity and willingness to learn unfamiliar technologies
• Ability to communicate technical ideas clearly and work collaboratively with others
• Comfortable taking feedback, asking questions, and iterating quickly
• Limited to US Persons or those with valid work authorization that does not require sponsorship

Core Competencies

Demonstrates expertise in building AI-powered applications and integrations, with a strong foundation in software development principles and modern programming languages. Proficient in deploying applications in Microsoft Azure and utilizing CI/CD practices for efficient development workflows.

Highest-signal resume keywords

• AI-Powered Application Development
• Microsoft Azure Deployment
• JavaScript or TypeScript Proficiency
• API Integration and Development
• CI/CD Pipeline Management

ATS Optimization Keywords

Hard Skills

• Software Development
• API Development
• Web Application Development
• Relational Database Management
• Debugging and Troubleshooting
• AI Tools Utilization
• Git and Source Control
• Data Quality Improvement
• Application Security Practices
• Prototyping and Automation

Soft Skills

• Collaborative Communication
• Curiosity and Willingness to Learn
• Feedback Reception and Iteration
• Problem-Solving
• Technical Idea Communication

Industry Keywords

• Computer Science
• Information Technology
• Cybersecurity
• Data Science
• Software Development Fundamentals

Tools & Technologies

• Microsoft Azure
• GitHub Actions
• CI/CD Tools
• AI Frameworks
• SDKs
• Developer Tools