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Solutions Architect
- Inc Best Places to Work – 2025
- Great Place to Work Certified – 2024
- Fortune’s Best Workplaces for Women – 2024
- Fortune’s Best Medium Workplaces – 2024
- Fortune’s Best Consulting & Professional Services – 2024
- Business Intelligence Group Best Places to Work – 2023
- Integrity: Doing what is right in all things
- Relationship: Pursuing depth, trust, and collaboration
- Service: Laboring for others with humility and care
- Excellence: Delivering extraordinary performance and results with humility
- Journey: Embracing our past and planning for our future with faith
- Contribute to defining and evolving the overall technical architecture across Harvest Group’s software platforms, ensuring systems are designed to scale, integrate cleanly, and remain maintainable as the organization grows.
- Design system boundaries, service interfaces, and API contracts that allow development teams to build independently while ensuring their work fits together into a coherent whole.
- Establish and maintain shared component libraries, reusable services, and common design patterns that reduce duplication, accelerate delivery, and raise the quality floor across all teams.
- Own the data architecture strategy — defining how applications share, access, and synchronize data across platform and team boundaries without creating hidden dependencies or bottlenecks.
- Evaluate and recommend technology choices (frameworks, platforms, cloud services, tooling) with a focus on long-term sustainability, developer productivity, and alignment with business direction.
- Conduct architecture reviews for major features and initiatives before teams invest in significant development efforts, providing clear guidance and flagging risks early.
- Partner with the Director of Technology and engineering leadership on technical roadmap planning, capacity considerations, and strategic technology investments.
- Serve as a technical escalation point for cross-team design challenges that don’t have an obvious owner, helping teams find solutions that work for the platform, not just their immediate project.
- Write and maintain architectural decision records (ADRs) and technical documentation that give teams clear, lasting guidance on how and why the platform is structured the way it is.
- Define and evolve architectural patterns for integrating AI capabilities into the platform — including agent-based workflows, model context management, and external AI services (e.g., MCP-style servers) — ensuring these integrations are secure, observable, cost-effective, and aligned with system boundaries rather than tightly coupled to individual applications.
- Evaluate and guide the adoption of AI-assisted development tools and AI-enabled capabilities, helping teams integrate these technologies in ways that are practical, maintainable, and high-impact.
- Collaborate with business and product stakeholders to understand strategic direction and translate it into a technical vision that positions the platform for what’s next, not just what’s now.
- 8+ years of professional software development experience with progressively increasing scope and complexity.
- Deep expertise in C#, .NET, and modern web technologies (JavaScript, React, HTML/CSS) with the ability to go deep on implementation details when needed.
- Proven experience designing and evolving multi-application or multi-team software architectures — not just building within an architecture someone else defined.
- Strong understanding of API design, service decomposition, modularization patterns, and system integration — you’ve thought carefully about where to draw boundaries and why.
- Experience with cloud-native architectures, preferably Microsoft Azure, including practical familiarity with the trade-offs of different hosting, storage, and compute options.
- Demonstrated ability to communicate complex technical concepts clearly to both engineering teams and non-technical business stakeholders — you can make the case for architectural investments in business terms.
- A track record of influencing technical direction across teams without positional authority — people follow your recommendations because your judgment has earned their trust.
- Experience with DevOps practices including CI/CD pipeline design, automated testing strategies, and infrastructure-as-code.
- Experience building and maintaining client-facing applications with the security rigor, reliability standards, and user experience considerations that external-facing systems demand.
- Experience architecting secure, scalable client-facing web applications — including authentication, authorization, data privacy, and input validation in public-facing contexts.
- Experience with microservices architecture, event-driven patterns, or domain-driven design (DDD) in production systems.
- Hands-on experience with containerization (Docker, Kubernetes) and cloud orchestration.
- Experience defining and governing data architecture, including API contract design, data sharing patterns, and cross-system data consistency strategies.
- Background in performance engineering, observability, and production reliability — you’ve been the person who gets paged, and you’ve built systems to prevent that
- Experience evaluating and integrating AI/ML capabilities into enterprise software platforms, including LLM APIs (e.g., Anthropic, OpenAI) with both structured and unstructured data.
- Experience leveraging AI-assisted development tools (Claude Code, GitHub Copilot) and guiding their adoption across engineering teams.
- Familiarity with architectural governance practices and decision documentation (e.g., ADRs, RFCs, tech radar).