Staff Software Engineer, Core
About the role
Staff Software Engineer, Color Cloud The Staff Software Engineer on the Core team is a unique and vital role within Madison Reed, owning the foundational platform that nearly every other system at the company is built on. This role owns the backend services, APIs, data models, and integrations that power the entire business. It involves architecting and leading the development of the systems other teams depend on, driving technical strategy for the platform, and contributing to the organization’s long-term architectural vision. Working in a cross-functional, agile ai-first environment, the engineer collaborates with teammates, product owners, and stakeholders across every line of business, while mentoring engineers at all levels and fostering a culture of innovation, collaboration, and excellence. We expect our Staff Software Engineer to both build and use the AI capabilities and infrastructure that other teams build on top of, and to have fundamentally changed how they build by working alongside frontier agentic coding tools, while retaining the deep technical ownership required to audit, verify, and own everything that ships The base range for this contract position is between 170,000 and 175,000. At Madison Reed, we aim to pay competitively. Factors which may affect starting pay within this range may include geography/market, skills, education, experience, and other
qualifications of the successful candidate. This role must be based in the United States.
What You'll Do Own the core platform end-to-end. Architect, build, and ship the services, APIs, and data models at the heart of Madison Reed, making foundational decisions that every other team depends on. Drive platform technical strategy. Identify opportunities for innovation and lead the adoption of new technologies, tools, and patterns. Set the standards and contracts that keep a multi-team, multi-domain platform coherent as it scales. Build the AI foundation for the company. Stand up the infrastructure, services, and patterns that let every team integrate LLMs and agents safely, and bring AI capabilities directly into core business workflows. Engineer for scale, reliability, and security. Treat performance, observability, data integrity, and secure coding as first-class concerns. Design systems that are resilient, debuggable, and safe by default. Own the contracts other teams build on. Design clean, well-versioned APIs and integrations; anticipate how downstream teams will use them; and treat backward compatibility and developer experience as part of the product. Own reliability in the wild. Treat CI/CD, monitoring, and incident response as a fundamental part of the job, not an afterthought. Set a high bar through observability, error tracking, and optimization across the systems the whole business runs on. Take ownership of large, ambiguous initiatives and break them into actionable workstreams across multiple teams. Lead efforts to refactor and optimize large areas of the codebase, ensuring alignment with business goals and long-term scalability. Mentor and raise the bar. Establish patterns for code reuse, elevate the engineers around you through rigorous code review and testing practices, and foster a culture of technical excellence and knowledge sharing. Collaborate with product and leadership across every line of business to align technical solutions with business priorities, shaping both what gets built and how it gets built.