Software Architect

Ready Computing•New York, NY

15h•$125,000 - $145,000•Remote

About The Position

The Software Architect designs and develops the architecture for Wellbase, Ready Computing’s managed services suite for healthcare and social-care organizations, and remains hands-on through implementation. Wellbase provides hosting, monitoring, analytics, and security to help keep mission-critical systems available, secure, and continuously improving. This is a player-coach role that involves designing new solutions, owning them end to end, and leading a small team. The work spans Wellbase’s agentic AI companion, Lucas; Model Context Protocol (MCP) integrations that enable governed, auditable action; policy and governance services; and environments used to demonstrate and stage products. The role calls for curiosity about emerging technologies, confidence presenting architecture and tradeoffs to executives, and a strong sense of 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.
Expertise in software architecture and design patterns for cloud-native and service-based enterprise systems.
Strong proficiency in Python and/or Java, with the 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 development 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 at 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, communicate effectively, focus on multiple tasks and project requirements, and occasionally travel as required.

Nice To Haves

Google Cloud experience.
Familiarity with workflow or orchestration systems.
Exposure to vector or search stores.
Familiarity with enterprise frameworks such as 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, and evaluation design.
Familiarity with observability and monitoring technologies such as Prometheus, Grafana, and OpenTelemetry (OTel).
A track record of evaluating and adopting new technologies where they create practical leverage.
Deep healthcare-interoperability experience.

Responsibilities

Define technical requirements and target architecture for new platform capabilities, and 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 that connect 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 demonstrated 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 pieces.
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 raise 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 to support agents, applications, and governance.
Implement authorization, policy, and security controls appropriate for healthcare and other regulated data.
Protect confidential company information.
Log time each week in the company time-tracking system.
Complete assigned training and compliance activities in a timely manner.
Perform other duties and assignments as requested.