Senior Software Architect

Hearst Health•Tampa, FL

17d

About The Position

The Senior Software Architect designs scalable, enterprise-aligned software architectures—primarily using Java, Python, and MySQL—while providing technical expertise to the engineering teams. This role identifies opportunities to integrate commercially available AI models into products and internal tooling, delivering prototypes and proofs-of-concept that accelerate innovation. The architect partners closely with product, data, and cross-functional technology teams to translate business needs into secure, maintainable, cloud-ready solutions. At MHK we help health plans and pharmacy benefit managers deliver optimal care management across every member’s health journey. We do this through state-of-the-art technology that provides critical insights from member enrollment and maintenance through every stage of care and compliance. We believe that long-term partnerships are built on trust. Our team members are expected to build trusted advisory relationships—with MHK clients and one another—through responsive, transparent communication, while honoring commitments, and tying that trust to outcomes.

Requirements

Professional Experience: 7–10+ years in software development, including several years in senior or lead engineering roles.
Architecture Experience: Demonstrated experience designing enterprise-grade components or subsystems within complex, distributed applications.
Technical Proficiency: Strong expertise in Java, Python, MySQL, modern frameworks, integration patterns, and distributed system design.
AI & Automation Tools: Experience integrating commercial AI models, using AI-enhanced engineering tools, and developing internal AI-driven utilities or automations.
Hands-On Prototyping: Proven ability to quickly experiment, build POCs, evaluate tools, and turn conceptual ideas into tangible prototypes.
Project Involvement: Experience contributing to or leading large-scale software initiatives using agile methodologies.
Cloud Knowledge: Hands-on experience with AWS or equivalent; knowledge of IaC tools such as CloudFormation or Terraform is a plus.
Required: Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent practical experience).

Nice To Haves

Preferred: Advanced architecture or cloud certifications (e.g., AWS Solutions Architect). Familiarity with AI platforms and commercial LLM ecosystems is beneficial.

Responsibilities

Architecture Design: Design and document software architecture components that align with enterprise frameworks and architectural guidelines, with a focus on solutions built primarily in Java, MySQL, and Python.
Technical Guidance: Provide technical leadership to development teams, ensuring adherence to best practices, scalable design patterns, and coding standards across the core technology stack.
AI-Enabled Solutions: Identify opportunities to incorporate commercially available AI models and platforms into products and internal tooling. Lead the design of internal AI-driven tools, automation capabilities, and developer-enablement solutions built on top of these models.
Prototyping & POC Delivery: Independently research, prototype, and validate technical approaches. Build proof-of-concepts that demonstrate feasibility, inform solution direction, and accelerate adoption of new capabilities.
Collaboration: Partner with product managers, business analysts, data teams, and other architects to translate business needs into scalable, maintainable technical solutions.
Code Quality: Participate in code and architecture reviews to ensure maintainability, performance, and alignment with enterprise standards.
Solution Implementation: Guide engineering teams in implementing architectural patterns, integrating new technologies, and optimizing system performance across backend services, data layers, and cloud components.
Cloud Technologies: Contribute to design and deployment of cloud-based solutions using AWS (e.g., EC2, S3, Lambda, RDS), with emphasis on security, reliability, and cost-optimized operations.
Documentation: Create clear and thorough design artifacts, architectural diagrams, and technical documentation for systems and interfaces.