Senior Software Architect

How You Will Make an Impact

• Leads the technical vision for at least one product line and provides ongoing direction and feedback across teams to advance that vision
• Establishes quality standards and drives system design decisions that prevent defects, leading material improvements that eliminate recurring classes of problems
• Serves as the team's expert resource on AI-driven development practices and LLM usage, advocating for and driving adoption of AI-assisted development tools across the engineering organization
• Leads participation in the full development life cycle, including requirements gathering, analysis, and design, taking ownership of significant components
• Evaluates business risk and customer impact to make strategic technical trade-off decisions
• Mentors engineers in technical decision-making, including risk evaluation and trade-off analysis
• Proactively identifies and resolves complex problems, implementing sustainable solutions that prevent recurrence
• Defines, communicates, and owns architectural decisions, including tenancy models, service boundaries, performance and cost tradeoffs, extensibility, and safe upgrade paths, to meet current and future needs for scaling, performance, security, and reliability
• Identifies and implements process improvements across the engineering organization
• Creates and reviews system designs, applying appropriate architectural patterns, idioms, and data structures
• Takes full ownership of assigned work and team deliverable quality, including advancing test automation strategy and implementation, and is highly accountable for how software performs in production
• Ensures comprehensive documentation across all development phases and guides others in producing it
• Contributes directly to code on an ongoing basis using approved AI-assisted development tools
• Leads post-acquisition technical integration efforts, including data migration planning, security assessments, and compliance evaluation
• Partners regularly with Product, Professional Services, and Sales to align technical execution with business and customer requirements

The Expertise You'll Bring

• Typically requires a minimum of 10 years of related experience with a Bachelor's degree; or 8 years and a Master's degree; or a PhD with 6 years' experience; or equivalent experience with a typical range of 12-15 years
• Bachelor's or Master's degree in Computer Science or related field preferred
• History of architecting and delivering enterprise-scale software systems in production environments
• Background in mentoring or leading technical direction in an individual contributor capacity, without formal people management responsibility
• Track record working within an AI-augmented software development workflow, such as Claude Code or comparable agentic development tools
• Recent work with AWS, C#, Containerized workloads, ORMs, and GitHub Actions
• Postgres and React knowledge is a plus
• Proficiency in Claude Code, Codex, or comparable agentic AI development tools
• Applies AI/ML tools to enhance development efficiency and accelerate task completion
• Deep expertise in .NET8+, ASP.NET, and ORMs
• Strong command of relational database design and management
• Exposure to NoSql-type databases like Redis, DynamoDb, or Elasticsearch
• Proficiency in HTTP, REST APIs, and messaging queue architectures
• Hands-on experience with containerized workloads
• Skilled in architecting and building cloud-native enterprise software
• Skilled in applying microservices and monolithic architecture patterns
• Understanding of infrastructure and hardware-level constraints affecting software performance
• Exposure to integration patterns across distributed systems
• Fluent in concurrency and observability practices in production systems
• Capacity to present and defend complex technical solutions under scrutiny from highly technical stakeholders
• Effective communicator and collaborator across the organization
• Practiced in Agile software development methodologies