Software Engineer, Full Stack & AI-Native Development (MTS)

What you'll do

• Design, build, test, deploy, and support full-stack features, including user interfaces, APIs, data models, and integrations.
• Use AI coding assistants throughout development while reviewing generated code for quality, security, and performance.
• Build Salesforce-based and AI-powered features, and contribute to testing, CI/CD, code reviews, and Agile practices.

What they ask for

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical discipline.
• 4+ years of professional full-stack software engineering experience.
• Proficiency in modern frontend technologies and backend development, including RESTful APIs, databases/SQL, and data modeling.
• Daily hands-on use of AI-assisted coding tools, plus grounding in software design patterns, SDLC, Agile, Git, and CI/CD.

Nice to have

• Salesforce platform development experience; exposure to Agentforce, Data Cloud, Einstein AI, or AI workflow platforms.
• Enterprise integration or event-driven architecture experience; Salesforce certifications; cloud, containerization, or production AI-feature experience.

Tools

JavaScript/TypeScript, HTML, CSS, Cursor, Claude Code, Codex, GitHub Copilot, Salesforce

AI focus

Use AI coding assistants throughout the software development lifecycle and build agentic and AI-powered business features, such as Agentforce, workflow automation, and AI agents, with governance and human-in-the-loop checks.