Senior Software Architect
Solve the Problems That Matter Most
The Senior Software Architect is a senior technical leader who guides the direction of software development, oversees the design and implementation of complex systems, and mentors other engineers. This role translates business needs into technical solutions, ensures high-quality software, and drives innovation within the engineering team, including advancing the team's use of agentic AI tools to enhance development efficiency. The Senior Software Architect leads the technical vision for at least one product line and provides ongoing direction and feedback across teams to advance that vision, while remaining a direct, ongoing contributor to code.
Reports To: VP, Engineering
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
Conduct all business in accordance with FinQuery policies and procedures
All other duties as assigned
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