Software Architect

Ready Computing•New York, NY

1d•Remote

About The Position

The Software Architect designs Ready Computing’s Wellbase managed services suite for healthcare and social-care organizations and remains hands-on through implementation. Wellbase provides hosting, monitoring, analytics, and security for mission-critical systems. This player-coach role owns end-to-end solutions while leading a small delivery team. The work includes an agentic AI companion (Lucas), governed and auditable Model Context Protocol (MCP) integrations, policy and governance services, and product demonstration and staging environments. The role requires curiosity about emerging technologies, confidence presenting architecture and tradeoffs to executives, and strong ownership.

Requirements

Bachelor’s degree in Software Development, Computer Science, or a related field.
At least 8 years of software development experience focused on enterprise-level architectures, including hands-on design and implementation.
Some experience building or leading agentic AI solutions is required.
Expertise in software architecture and design patterns for cloud-native and service-based enterprise systems.
Strong proficiency in Python and/or Java and ability to work across a polyglot stack.
Hands-on experience with cloud platforms, containers, Docker, and Kubernetes.
Experience designing REST APIs and distributed services.
Experience with CI/CD pipelines and tools such as Git, Jenkins, and JIRA.
Database design and optimization experience, primarily with relational databases such as PostgreSQL.
Comfort working with healthcare or other regulated data environments.
Ability to work on a computer for extended periods, including typing, using a mouse, and viewing a monitor throughout an eight-hour workday; ability to sit and/or stand for prolonged periods as needed.
Ability to communicate effectively by phone and collaborate with team members, clients, vendors, and other business partners.
Ability to focus on multiple tasks and project requirements throughout the workday.
Home office internet speed of at least 25 Mbps download and 1.5 Mbps upload, with a private Wi-Fi network protected by a strong, unique password.

Nice To Haves

Google Cloud experience is preferred.
Familiarity with workflow or orchestration systems.
Exposure to vector or search stores.
Familiarity with Spring or FastAPI.
Working knowledge of policy-as-code, authorization frameworks, or similar governance controls.
Hands-on experience with agentic AI development, including LLM-based agents, tool use or MCP, evaluation design, or similar.
Familiarity with Prometheus, Grafana, and OpenTelemetry (OTel).
Deep healthcare-interoperability experience.
Occasional travel may be required.

Responsibilities

Define technical requirements and target architecture for new platform capabilities; remain accountable through design, implementation, and release.
Design and lead delivery of agentic AI solutions, including tool-using agents, evaluation approaches, and safe integration with healthcare workflows.
Architect and extend MCP-based services connecting agents and applications to enterprise systems, data, and licensed capabilities.
Own architecture for policy and governance services that control access, content decisions, and regulated use of data and AI.
Shape demo and staging environment architecture so new capabilities can be presented reliably to customers and executives.
Lead a small team as a player-coach by setting technical direction, reviewing design and code, and implementing the most challenging work.
Present architecture, options, and recommendations to executive stakeholders, and take ownership of decisions and outcomes.
Apply CI/CD, cloud, and Kubernetes deployment practices to keep the platform releasable and operable.
Mentor developers and improve standards for design, security, and delivery.
Produce and maintain technical documentation that others can build from.
Design and optimize relational data stores and, where needed, vector or other specialized stores for agents, applications, and governance.
Implement authorization, policy, and security controls appropriate to healthcare and other regulated data.
Perform other duties and special projects as assigned.