Development Manager

Software Development Manager (Tax Innovation)

Location: United States (Remote or Hub-based)
Company: Leading Big 4 Professional Services Firm

Who We Are & What We Do

We are the Tax Innovation group within a global Big 4 consulting firm. Our mission is to standardize and deliver enterprise-grade applications and automations by leveraging cutting-edge emerging technologies. We drive efficiency for our Tax Line of Service (LoS) engagement teams and global clients through scalable, secure, and highly innovative technology solutions.

The Role at a Glance

We are seeking an experienced Software Development Manager to lead a high-performing, multi-pod engineering team. You will be responsible for overseeing the development of complex tax platforms, integrating AI-driven features, and managing a robust Microsoft-based tech stack.

The ideal candidate bridges the gap between deep technical expertise and strategic leadership, partnering with product leaders and AI specialists to translate business goals into executable, world-class technical plans.

Required Skills & Experience

Leadership & Background

• Experience: 10+ years in professional software development, with at least 5+ years in technical leadership roles (Engineering Manager, Dev Manager).
  
• Scale: Proven ability to lead large, multi-team engineering organizations (pod/squad models) through modernization and growth.
  
• Domain Expertise: Experience in Tax, Finance, or regulated domains with heavy compliance and audit requirements is strongly preferred.
  
• Architecture & Delivery: Expertise in decomposing complex systems into clear domains and delivery increments. You should have a strong track record of balancing feature delivery with technical debt and risk management.
  

Technical Core (Microsoft Stack)

• Backend: Deep expertise in .NET, C#, ASP.NET, and modern architectures (Modular Monoliths, Event-Driven design).
  
• Patterns: Hands-on experience with Clean Architecture, CQRS (MediatR), Repository/Unit of Work, and Factory patterns.
  
• Data: Strong knowledge of SQL Server and Cosmos DB; experience with Entity Framework Core and FastEndpoints.
  
• Frontend: Familiarity with modern frameworks (Angular preferred) and microfrontend patterns.
  
• Messaging: Event-driven architecture using MassTransit, Azure Service Bus, or EventHubs.
  

AI, Data & Cloud

• AI Engineering: Experience with Agent frameworks/orchestration (multi-agent routing, tool-calling), prompt design, and Retrieval-Augmented Generation (RAG).
  
• AI Tools: Familiarity with Semantic Kernel and GenAI productivity tools like GitHub Copilot or Cursor.
  
• Cloud: Working knowledge of Azure services (Functions, AKS, App Services, API Management, Azure AI Search).
  
• Data Integration: Familiarity with Data Warehouses, Lakehouses, and Power BI REST APIs.
  

DevOps & Testing

• Quality: Strong background in Unit/Integration testing (xUnit, Jasmine/Karma) and TDD.
  
• CI/CD: Hands-on experience with Azure DevOps pipelines, Docker, and automated deployment strategies.
  

Roles & Responsibilities

1. Technical Leadership & Architecture

• Own the technical direction for applications, ensuring alignment with Tax product strategy and system integration.
  
• Provide architectural guidance on modular monolith patterns and scalability concerns.
  
• Review and challenge design proposals and technical trade-offs from pod leads.
  
• Ensure AI/agentic features are built on secure, observable, and solid foundations.
  

2. Team Leadership & People Management

• Lead and mentor an engineering discipline organized into multiple pods.
  
• Establish and enforce standards for code quality, security, and documentation.
  
• Coach and develop Engineering Managers and Lead Developers, fostering a culture of ownership and continuous improvement.
  

3. Product & Stakeholder Collaboration

• Partner with Tax Product Owners and AI Strategists to shape roadmaps and technical epics.
  
• Perform feasibility assessments for new product ideas, focusing on impact to calculation engines and operational risk.
  
• Represent engineering in firm-wide prioritization and capacity planning forums.
  

4. Execution & Operations

• Own delivery predictability and quality for all releases, including dependency and risk mitigation.
  
• Oversee non-functional requirements such as performance, resilience, and security.
  
• Drive incident response and root-cause analysis for production issues.
  

Soft Skills & Attitude

• Collaborative: Ability to work efficiently across distributed teams and time zones.
  
• Composed: Thrive under demanding deadlines and high-pressure environments.
  
• Outcome-Focused: Prioritize business value and user impact over raw feature count.
  
• Proactive: A "systems-thinker" who anticipates performance issues before they occur.
  
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