Senior Software Architect

Florence Healthcare - US•Atlanta, GA

About The Position

Florence is seeking a Senior Software Architect to define and evolve scalable, secure, and resilient technical solutions across its multi-tenant, multi-region platform. The architecture spans enterprise applications, platform services, data systems, integrations, and AI capabilities. This hands-on technical leadership role translates complex business and product requirements into practical, reusable architectures and implementation roadmaps. The architect collaborates with Engineering, Product, Platform, Data, AI, Security, Professional Services, and customer-facing teams to meet immediate needs while supporting long-term product and technology strategy. The role influences technical direction across teams, leads architecture decisions and design reviews for high-impact initiatives, develops reference architectures and technical documentation, and mentors engineers and technical leaders without formal management authority. It promotes reusable patterns, engineering standards, maintainability, security, reliability, and engineering velocity, while helping Florence adopt AI and intelligent automation where they provide measurable business value. Florence develops software used by research teams worldwide to support clinical research. The company describes its culture as high-output, experimental, shipping-focused, and grounded in integrity, and emphasizes building technology that helps advance cures and therapies.

Requirements

10 or more years of experience in software engineering, system design, and software architecture.
Proven experience designing and delivering complex, enterprise-scale software solutions.
Strong understanding of distributed systems, microservices, APIs, event-driven architecture, and cloud-native technologies.
Experience with enterprise integrations, platform architecture, and data-intensive applications.
Strong cloud architecture experience; AWS is preferred.
Experience designing multi-tenant SaaS architectures, including tenant isolation and multi-region deployment.
Familiarity with modern data platforms, data governance, and real-time data processing.
Working knowledge of generative AI, LLMs, RAG, AI agents, or AI-enabled application architectures.
Strong understanding of security, identity and access management, privacy, scalability, reliability, and observability.
Ability to translate business needs into practical technical designs and guide solutions from architecture through implementation.
Excellent communication, collaboration, problem-solving, and technical leadership skills.

Nice To Haves

Experience in enterprise SaaS, healthcare, life sciences, or other regulated industries.
Experience with AWS services, event streaming technologies such as Kafka, and enterprise integration patterns.
Experience designing reusable platform capabilities across multiple products and customer environments.
Experience implementing production AI solutions and intelligent workflow automation.

Responsibilities

Design end-to-end architectures across Florence products, platform services, integrations, data systems, and AI capabilities, translating business and customer requirements into implementation roadmaps.
Define reusable patterns for APIs, event-driven systems, and cloud-native services to reduce duplication and customer-specific implementations.
Evaluate trade-offs involving scalability, performance, security, reliability, cost, and time to market.
Simplify systems, reduce technical debt, and improve platform scalability, maintainability, and reliability.
Partner with engineering teams on the design and implementation of complex solutions.
Promote consistent engineering standards, reusable components, and clear architectural documentation.
Design architectures connecting applications, enterprise systems, data platforms, and third-party services.
Partner with Data Engineering on data integration, master data management, data quality, governance, and real-time data flows.
Identify opportunities to incorporate AI, generative AI, and intelligent automation into products and enterprise workflows.
Evaluate AI and agentic solutions based on business value, security, reliability, performance, and operational cost.
Establish patterns for data access, API integration, workflow orchestration, observability, and secure AI adoption.
Collaborate across Engineering, Product, Platform, Data, AI, Security, and Professional Services to align architecture with business and product priorities.
Lead architecture and design reviews for high-impact initiatives and cross-product dependencies.
Develop reference architectures, technical specifications, and architecture decision records.
Mentor engineers and technical leaders and influence decisions through technical expertise and judgment.
Promote pragmatic architecture practices that improve engineering velocity without compromising quality, security, or reliability.