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Ready Computing

Software Architect

Ready Computing

. Define technical requirements and target architecture for new platform capabilities through design, implementation, and release .

Posted 10/22/2026full-timeRemote • New York • United StatesSeniorLead💰 $125,000 - $145,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in software architecture and design for cloud-native enterprise systems, with a strong focus on agentic AI solutions and healthcare data integration. Proficient in leading teams, implementing CI/CD practices, and optimizing database designs.

Highest-signal resume keywords
Software ArchitectureAgentic AI SolutionsPython ProgrammingCloud PlatformsCI/CD Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Software DevelopmentEnterprise-Level ArchitecturesREST API DesignDatabase DesignSecurity Controls
Soft Skills
Effective CommunicationMentoring
Tools & Technologies
Google CloudDockerKubernetesGitJenkins
Industry Keywords
Healthcare DataRegulated DataMCP-Based ServicesDesign PatternsDistributed Services

Tech Stack

Tools & technologies
CloudDockerGrafanaJavaJenkinsKubernetesPostgresPrometheusPythonSpring

About the role

Key responsibilities & impact
  • Define technical requirements and target architecture for new platform capabilities through design, implementation, and release
  • Design and lead delivery of agentic AI solutions, including tool-using agents, evaluation approaches, and safe healthcare-workflow integration
  • Architect and extend MCP-based services connecting agents and applications to enterprise systems, data, and licensed capabilities
  • Own architecture for policy and governance services controlling access, content decisions, and regulated data and AI use
  • Shape demo and staging environments for reliable customer and executive demonstrations
  • Lead a small delivery team as a hands-on player-coach; set technical direction, review design and code, and implement complex components
  • Present architecture, options, and recommendations to executive stakeholders
  • Apply CI/CD, cloud, and Kubernetes deployment practices
  • Mentor developers and improve design, security, and delivery quality
  • Produce and maintain technical documentation
  • Design and optimize relational, vector, and specialized data stores
  • Implement authorization, policy, and security controls for healthcare and regulated data
  • Perform other duties and special projects as assigned

Requirements

What you’ll need
  • Bachelor’s degree in Software Development, Computer Science, or a related field
  • Minimum of 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
  • Hands-on experience with cloud platforms, preferably Google Cloud, 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, primarily relational/PostgreSQL
  • Familiarity with enterprise frameworks such as Spring or FastAPI
  • Some hands-on experience with agentic AI development, including LLM-based agents, tool use or MCP, and evaluation design
  • Familiarity with Prometheus, Grafana, and OpenTelemetry
  • Comfort working with healthcare or other regulated data environments
  • Ability to work on a computer for extended periods and communicate effectively
  • Minimum internet speed of 25 Mbps download and 1.5 Mbps upload
  • Private Wi-Fi network with a strong, unique password

Benefits

Comp & perks
  • Four health plan options
  • 401(k) matching
  • Flexible Paid Time Off (PTO)
  • Wellness programs
  • Financial planning services
  • Monthly internet stipend
  • Career development opportunities
  • Mentorship and knowledge-sharing opportunities