• Ensure software is delivered efficiently and on time using C#.NET / ASP.NET. • Work across the full software stack, including UI, backend services, and database layers. • Work with client technologies like Angular, Aurelia, Typescript, Javascript, CSS, and HTML. • Participate in an agile (SCRUM) development team. • Establish and improve high standards for software design and development. • Collaborate with software engineers, quality engineers, devops, and management to provide technical guidance throughout projects. • Review business and technical requirements and encourage knowledge sharing within the team. • Dive deep into system analysis and programming, often involving extensive research. • Test software thoroughly using unit and integration testing frameworks such as xUnit, NUnit, or MsTest. • Stay updated on new technologies, AI-first development practices, and software development tools. • Work with AI coding tools such as Claude Code, GitHub Copilot, Cursor, or similar technologies. • Collaborate with global teams, with some level of overlapping work hours expected.

• Build and maintain backend services, APIs, and internal tooling used across product development teams • Improve infrastructure powering component distribution, asset management, documentation, and release workflows • Support and evolve the engineering monorepo, helping improve scalability, maintainability, and developer experience • Collaborate with frontend engineers and designers to ensure shared patterns and tooling are implemented consistently across products • Contribute to CI/CD pipelines, automation, testing, and deployment processes using tools like GitHub Actions • Help improve the reliability and performance of internal systems, including observability and monitoring workflows • Support engineers across product teams with adoption and integration of shared tooling and services • Contribute to documentation and developer tooling to improve discoverability and onboarding • Work on ongoing platform improvements, including: • Migration of legacy code and tooling • Documentation platform enhancements • Automation improvements • Sandbox and developer tooling improvements • Participate in architecture discussions and contribute practical, scalable engineering solutions

• Collaborate multi-functionally with product owners, designers, GTM teams, program managers and other Engineering team members to deliver for our clients • Conceive of, develop, and deliver novel solutions within a sophisticated and rich domain area. Learn and develop your career within a particularly challenging and growing part of the financial industry • Build both within the primary Navigator application and in other parts of Addepar's product ecosystem, bridging shared concerns for our clients across multiple product areas, with an investor-focused viewpoint

• Leverage the industry standard AI tools to architect, design, build, deploy and maintain Model Serving infrastructure that supports a world-class Detection Engine. • Own projects that scale our model serving and data processing services to handle 10x the traffic we serve today. • Own real-time, near real-time streaming pipelines, and online feature serving services. • Collaborate closely with MLE and Data Science teams by distilling feedback, correlating it to strategy, and executing.