• Getting to know teammates, technology, and tactics. Your first day, you'll pair with your manager and a colleague to set up your local environment and ship a bug fix — using our agent workflows end to end. The following 29 days involve connecting with engineers across the professional experience and Reporting to understand how we prioritize, plan, build, and deliver value on OurFamilyWizard. You'll get immersed in daily and weekly agile rituals, the API guild, and our internal skills and plugins ecosystem. By the end of your first month, you'll be running your own spec-to-ship cycles inside Pro Core's domain — the professional user experience and Reporting. • Try, learn, ship. By day 60, you're operating our SDLC from planning through production release — authoring specs, orchestrating multi-file agent work, and reviewing outcomes rather than lines. You'll have a broad understanding of our backend architecture and deeper expertise in the services Pro Core owns and the APIs powering both the professional user experience on OurFamilyWizard and our Reporting product. You'll ship to production several times a day and start contributing skills and plugins that the rest of engineering can reuse. • Solidifying the foundation. Beyond month two, you grow into an autonomous operator — architecting solutions to complex problems, defining specs sharp enough that agents can execute them, and calibrating when a problem needs human hands vs. agent iteration. You'll partner with cross-functional teammates and leadership to shape execution plans for new features. We'll start conversations about long-term team alignment between days 30–60 and target a 3–4 month rotation. • Accelerate growth. With foundational understanding gained, you'll inform platform-level change and find your team home. Complex product problems, scale and modernization challenges, and the frontier of AI-integrated product experiences will establish you as a subject-matter expert and expand your ownership.

• Design, Develop, Test and Deploy .NET solutions for different platforms such as REST API, Web application • Work on APIs that support the various parts of the business • Participate in code reviews • Work on spikes to define new features helping product team

• Install, configure, administer, patch, upgrade, and manage the lifecycle of Oracle database environments. • Monitor database performance, availability, and health, proactively identifying and resolving performance bottlenecks and operational issues. • Optimize database performance through tuning, indexing strategies, query optimization, and capacity planning. • Implement and maintain database security controls, including user access management, encryption, auditing, and compliance with DoD cybersecurity requirements. • Develop, maintain, and regularly validate comprehensive backup, recovery, and disaster recovery procedures to meet Government Recovery Point Objective (RPO) and Recovery Time Objective (RTO) requirements. • Design, implement, and maintain database schema changes using version-controlled migration scripts integrated with CI/CD pipelines. • Ensure database deployment scripts are automated, repeatable, defect-free, and environment agnostic. • Maintain configuration management documentation and version control for all database configurations and settings. • Support end-to-end traceability of database requirements through implementation, testing, and documentation. • Collaborate with software development teams to design efficient database structures and support application modernization initiatives. • Support ETL processes, data integration activities, and maintenance of database metadata and data dictionary documentation. • Participate in troubleshooting production issues and implementing continuous improvements to database operations. • Ensure compliance with organizational standards for security, quality, documentation, and configuration management.

• Lead end-to-end AI use case delivery • Architect and evolve an enterprise AI/ML/LLM platform • Design and implement LLM solutions • Define data and integration patterns for AI solutions • Build automation and infrastructure-as-code for AI workloads • Establish engineering standards and best practices for AI systems • Partner with security, privacy, and compliance teams • Own reliability and performance for AI platform services • Enable and guide application and data teams • Communicate architecture decisions to stakeholders