• Engage with clients to understand their problems, needs, goals, and technical environments. • Architect, build, and ship full stack applications that leverage AI and data capabilities. • Apply best practices in MLOps or LLMOps, including testing, monitoring, and reliability. • Design and build scalable data pipelines and data lakes as needed. • Communicate tradeoffs and risks transparently, supporting client decision-making. • Collaborate with other engineers and cross-functional teams to deliver impactful results. • Stay current with the latest AI trends, technologies, and tooling to bring innovation to your projects.

• Build integrations or web-based tools, including applications that allow users to interact with AI/ML models and large language models (LLMs) • Write efficient JQL and SQL queries to support reporting, analytics, and data integration needs • Develop and customize Atlassian functionality by writing JQL/CQL queries, Groovy scripts, and Confluence user macros using HTML, CSS, JavaScript, and/or Python with the ability to also develop in/integrate with other software, including Microsoft Office 365 • Rapidly prototype and iterate on solutions, incorporating feedback and demonstrating progress regularly • Independently research, evaluate, and implement potential solutions using Atlassian documentation, community resources, and web research • Create and maintain technical documentation, troubleshooting guides, dashboards, and knowledge base articles in Confluence to support both customers and internal teams • Develop how-to guides, presentations, and user instructions, ensuring accuracy and professional quality prior to distribution • Support CI/CD pipeline configuration and contribute to code quality through unit testing and best development practices • Conduct remote or in-person Jira/Confluence demonstrations, training sessions, and troubleshooting support as required • Participate in Agile team activities, including daily stand-ups, sprint reviews, retrospectives, and backlog management • Manage individual work tasks through Jira boards and internal ticketing systems, ensuring alignment with service level agreements (SLAs) and timely customer support • Coordinate schedules with teammates to ensure customer support coverage during core hours (8 AM – 5 PM Pacific, Monday–Friday) • Maintain professional communication and collaboration with customers and team members while supporting ongoing digital engineering initiatives • Perform other duties as assigned

• Build and maintain a full stack web application using React • Develop and integrate REST APIs, webhooks, and third party services such as Stripe • Design and manage PostgreSQL databases • Implement secure authentication and authorization systems • Ensure high performance for live, transaction based applications • Sync data seamlessly between web and mobile platforms • Maintain strong security practices around financial and sensitive user data • Collaborate in a startup environment with a small, fast moving team

• Architect, design, implement, and maintain complex software systems and services with a strong focus on scalability, reliability, and maintainability. • Own end-to-end delivery of significant features/systems: discovery, design, implementation, testing, deployment, and operational excellence. • Collaborate with Product, Design, and Engineering to understand requirements, propose options, and deliver high-quality outcomes. • Contribute to and influence architectural decisions , technical direction, and engineering best practices across the team. • Drive engineering excellence: code reviews, quality standards, and production readiness (including observability and CI/CD awareness). • Mentor and guide junior engineers—helping with design approaches, implementation details, and career growth. • Learn and apply new technologies pragmatically when they are the right fit for the problem.