- Contribute to the development and evolution of enterprise software solutions.
- Build and enhance APIs, user experiences, backend services, databases, automation, and business workflows.
- Work with a variety of technologies, architectures, and deployment models supporting enterprise software solutions, including desktop, client/server, n-tier, on-premises, SaaS, and cloud-based environments.
- Contribute across multiple areas of the software development lifecycle, leveraging AI-assisted development workflows and modern engineering practices.
- Use AI-assisted engineering tools to plan, implement, test, review, and improve software.
- Participate in code reviews, automated testing, CI/CD pipelines, and quality-focused engineering practices.
- Collaborate with product, UX, QA, and engineering teams to understand customer problems and deliver practical outcomes.
- Explore AI-driven capabilities such as automation, intelligent insights, copilots, agentic workflows, natural language interfaces, and related emerging technologies.
- Continuously learn and apply new technologies, frameworks, tools, and engineering practices to support evolving business needs.
- Has at least 2 to 4 years of work experience with one or more object-oriented programming languages such as .NET, Java, JavaScript, or similar technologies, gained through academic projects, internships, personal projects, or other practical experience.
- Understanding of core software engineering concepts including application architecture, APIs, databases, software design principles, and enterprise application development.
- Strong analytical and problem-solving skills, combined with curiosity, initiative, and a willingness to learn through hands-on delivery.
- Interest in enterprise software platforms, modern application architectures, and emerging technologies.
- Experience using GenAI or AI-assisted development tools to support coding, testing, debugging, documentation, design, or learning activities.
- Interest in applying AI-assisted development practices to transform customer needs into practical software solutions.
- Growth mindset with the ability to quickly learn new technologies, frameworks, architectures, and evolving engineering practices.
- Strong communication and collaboration skills, with the ability to work effectively in a team environment.
AI-First Mindset
This role requires embracing an AI-first approach where GenAI and agentic AI tools are essential collaborators, not optional supplements. You will use Claude Code as part of a fully agentic development lifecycle that supports planning, implementation, testing, review, documentation, and continuous improvement.
The ideal candidate is interested in building customer outcomes with AI-enabled development practices. You should have basic hands-on experience using GenAI tools to explore requirements, generate or improve code, test ideas, troubleshoot issues, or accelerate learning. You do not need to be an AI expert, but you should be curious, thoughtful, and ready to learn how agentic workflows can improve software delivery.
We are looking for someone who approaches feature development by asking: “What customer problem are we solving, and how can AI help us deliver a better outcome faster and more responsibly?” This includes being comfortable with rapid AI tool evolution, willing to experiment with new development workflows, and committed to validating AI-generated work through strong engineering judgment.
We value developers who see AI as a productivity multiplier and learning accelerator, not a replacement for engineering fundamentals, collaboration, customer empathy, quality, security, or maintainable design.
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Why Join #TeamDeltek
Grow. Collaborate. Innovate.
The work we do is important. The way we do it is just as important. Our values guide the decisions we make, how we work together, and how we help our customers succeed. That’s what makes Deltek more than a place to work — it’s a place where you can grow, make an impact, and help others do the same.
