Software Architect, DevOps, Backend Developer

Technologies We Use

• .NET, .NET Core, C#, SQL Server, AWS, and Datadog — spanning established and modern systems — alongside modern AI development tooling

• Own the technical architecture — define the architecture, standards, and design/security/integration guidelines (and the decisions behind them) for the platform, aligned to business goals and long-term scalability
• Drive the modernization roadmap — lead the pragmatic, incremental evolution of established systems toward a modern stack, making decisions that balance innovation with stability and business continuity
• Simplify and decouple — establish clear service boundaries and reduce complexity so the platform is easier, faster, and safer to change
• Design for scale — architect for scalability and configurability so the platform grows efficiently alongside our expanding customer base
• Strengthen observability — establish telemetry, monitoring, and alerting standards (on Datadog) so teams can see, measure, and continuously improve system health, performance, and reliability
• Bring data to the table — establish architecture metrics and governance that give leadership clear visibility into delivery, quality, and technical health to guide investment and roadmap decisions over time
• Partner across the organization — work with engineering leads, product owners, and business stakeholders to translate requirements into scalable, maintainable solutions; lead system‑design and security reviews
• Elevate the team — mentor engineers, raise the bar on engineering practices and delivery, and apply modern tooling (including AI) to help teams work more effectively

• A proven technical leader at the intersection of architecture, strategy, and hands‑on engineering — energized by making large, long‑lived systems scale and endure
• Deep in enterprise .NET — architecting solutions in C# on .NET Framework and .NET Core, with strong command of integration patterns, service/API design, distributed‑systems principles, and SQL Server, across large‑scale on‑prem and hybrid systems
• Experienced — 8+ years in software engineering, with at least 3 in an architecture or technical‑leadership role
• Adaptable across old and new — comfortable working across both established and modern systems, you use modern AI assistants to ramp quickly and accelerate delivery, valuing architectural judgment and adaptability over mastery of any single technology
• A pragmatic, data‑driven communicator — you quantify technical trade‑offs, build consensus across technical and non‑technical stakeholders, and make a clear business case for investment
• Security‑ and compliance‑minded — you treat healthcare compliance and security (HIPAA, PCI) as first‑class design constraints

• Legacy modernization at scale — experience with strangler‑fig, API wrapping, and event sourcing in large enterprise codebases, and using AI to accelerate it
• Cloud‑native & AWS — adoption strategy across serverless, containerization, and infrastructure‑as‑code
• Dev Ops & delivery — CI/CD pipeline design, delivery automation, and Dev Ops practices at enterprise scale
• Domain — healthcare IT, revenue cycle management, or other regulated industries
• AI/ML — familiarity with AI/ML integration patterns and evaluating emerging technologies for enterprise applicability
• People & practice — mentoring senior engineers, fostering technical excellence and continuous improvement;
  Agile/Kanban (SAFe a plus)
• Credentials — formal architecture training or certifications (AWS Solutions Architect, TOGAF), or a track record of published ADRs

• Paid time off (PTO) to balance a fulfilling work and personal life
• Health, dental, and vision insurance
• Company‑paid life insurance, AD&D, and disability
• Money for your 401(k)
• Volunteerism support and charitable gift matching through the Zotec Effect program
• Tailored learning and professional development to grow your career

E-Verify and Equal Opportunity Employer