• Develop engaging experiences for our millions of users across our mobile and web applications. • Design and implement scalable apps and services, integrating these into an evolving unified product and system architecture. • Brainstorm and evaluate new product features in collaboration with the product and UX team. • Collaborate and pair with other developers to develop solutions and teach technical skills. • Contribute to our development standards within the team and across engineering to ensure code quality, adherence to standards, and identify opportunities for improvement • Champion and implement automated testing practices to uphold the dependability and stability of backend systems, while also taking ownership of the overall reliability of the team's services. • Actively engage in on-call responsibilities and contribute to incident management efforts. • Evaluate and test new technologies to help TeamSnap move faster or serve our users more effectively. • Help teammates overcome obstacles, resolve blockers, and complete work tasks.

• Provide technical and line-management leadership to your development team. • Take responsibility for the successful delivery of projects. • Identify and resolve blockers before they become issues. • Ensure best practices in software development, DevOps, and agile methodologies are upheld within the team. • Work directly with clients, translating requirements into technical briefs. • Shape and define architectural decisions ensuring scalability, security, and maintainability. • Provide updates to client and Nearform leadership to ensure clear understanding of project status and drive good decision-making.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We're building an enterprise ERP system from scratch where AI isn't a feature—it's the foundation. Join Deltek's Engineering and Technology team to create the first truly AI-native SMB ERP. Users will chat with their system instead of clicking through forms. Intelligent agents will handle routine tasks autonomously. And you'll use AI to write better code faster. This is a greenfield project. No legacy constraints. No technical debt. Just the opportunity to reimagine what enterprise software can be when designed for AI from day one. As a principal engineer, you'll: - Implement the most technically challenging features of the AI-powered ERP platform, serving as the go-to expert for complex integration and performance challenges - Develop reference implementations and coding patterns that other engineers follow when building AI-enhanced features - Implement sophisticated prompt engineering and LLM integration solutions, ensuring security, performance, and cost-effectiveness - Build production-ready ML integration code utilizing infrastructure provided by the dedicated AI/ML infrastructure team - Provide deep technical expertise on critical implementation challenges affecting multiple teams, offering solutions based on extensive hands-on experience - Collaborate with architects to validate technical approaches through proof-of-concepts and prototypes - Champion code quality, comprehensive testing, security best practices, and operational excellence - Identify and resolve complex technical debt that impacts multiple teams - Serve as technical advisor to architects and engineering leadership on implementation feasibility and development best practices - Mentor and develop senior engineers, elevating implementation capabilities across the engineering organization - Drive innovation through hands-on proof-of-concepts exploring novel approaches to ERP challenges Qualifications - Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Data Science, or related field - 10+ years of professional software engineering experience with extensive hands-on AI/ML systems implementation - Demonstrated history of technical leadership through exceptional implementation quality on large-scale, business-critical systems - Proven track record of solving complex implementation challenges that enabled significant business outcomes - Experience providing technical guidance and mentoring senior engineers - Deep expertise in implementing enterprise software and AI/ML integrations with production deployments at scale Requirements - Master-level expertise in Java, Python, and ability to work effectively in multiple languages - Deep expertise in implementing distributed systems, microservices, event-driven patterns, and domain-driven design - Expert-level implementation skills with PostgreSQL including performance optimization, complex query development, and multi-tenant data patterns - Comprehensive expertise in implementing LLM systems, prompt engineering at scale, RAG architectures, and model integration - Experience establishing coding standards, testing patterns, and development workflows that improve team productivity - Expert knowledge of implementing cloud solutions and working with managed services across AWS/Azure/OCI - Deep expertise in implementing robust APIs, integration patterns, and extensible features - Expert in leveraging comprehensive monitoring, logging, and error handling - Strong understanding of implementing security controls, authentication/authorization, and data protection - Exceptional ability to communicate complex technical concepts and influence development approaches through collaboration - Ability to balance code quality with delivery timelines, provide practical technical guidance, and align development work with business goals AI-First Mindset This role requires embracing an AI-first approach where GenAI and agentic AI tools are essential collaborators, not optional supplements. We expect team members who naturally think in AI-enhanced workflows and proactively integrate intelligent automation to solve ERP development challenges more efficiently. The ideal candidate has strong interest in prompt engineering techniques and conversational AI systems, with understanding of how to craft effective prompts for business contexts. You should be curious about natural language processing and how AI enhances user experiences, along with basic awareness of AI ethics and prompt safety considerations. We're looking for someone who approaches ERP feature development by first asking: "How can AI help me build this functionality faster and better?" This includes being comfortable with rapid AI tool evolution, eager to experiment with new AI capabilities for prompt engineering and ERP optimization, and committed to sharing AI-enhanced approaches with the team. We value those who apply prompt engineering to solve real-world ERP business problems and see AI as a productivity multiplier for strategic development decisions, rather than a replacement for human expertise.

• Design and maintain assigned applications and processes • Lead the development, configuration, and implementation of solutions within multiple complex, inter-related systems • Architect, deploy, and optimize cloud-native and hybrid environments • Oversee the design and management of N-tier application structures • Collaborate with IT stakeholders to resolve complex challenges • Design and implement modular, reusable components and APIs • Serve as a technical representative of assigned programs/applications • Build and manage CI/CD pipelines • Author and maintain comprehensive documentation • Participate in defining coding, design, and architecture standards • Lead product teams in implementing access control and security measures • Develop and enforce testing strategies • Design security protocols and ensure appropriate application to systems • Diagnose and resolve intricate system issues • Continuously monitor and analyze system performance • Contribute to post-incident reviews and foster a culture of continuous improvement