Software Engineering Specialist Manager
Listed on 2026-07-18
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Software Development
Full Stack Developer, AI Engineer (Applied/Software)
About the Team
The Technical Insights Team is part of the Technology business unit within the Product Engineering delivery organization. The team delivers technology products by partnering closely with business stakeholders and engineering teams to define, prioritize, build, and continuously improve digital capabilities. Team members combine business analysis, Agile product ownership, and delivery leadership to translate business strategy into actionable product requirements, guide development teams through iterative delivery, and ensure solutions deliver measurable business value.
The team also promotes continuous improvement by leveraging AI-enabled tools, automation, and Agile best practices throughout the product lifecycle.
Crowe is looking to hire a Software Engineering Specialist into our Product Engineering practice to help build and modernize solutions for Crowe's Audit services. This is a high-impact role for an engineer who thrives on variety and ownership.
Unlike a traditional engineer embedded in a single Scrum team, this position is intentionally flexible. You will deploy to the highest-priority need across Audit's product portfolio and innovation initiatives, joining a team to deliver a critical feature, partnering with our innovation group to prototype what's next, or unblocking a stalled effort. This position will balance the various priorities with the stability needed to contribute and deliver.
The ideal candidate brings deep expertise across the Microsoft stack, a real passion for software craftsmanship, and expertise applying AI to deliver business value.
Responsibilities- Deliver software for Audit's flagship products and innovation team to drive the discovery and delivery of high-value features that modernize how Crowe delivers Audits.
- Ramp quickly into new teams and begin contributing meaningfully with minimal onboarding.
- Engage with Agile Scrum teams for feature development and delivery, adapting to each team's cadence and conventions.
- Leverage Azure PaaS services to deliver business value efficiently and at scale.
- Build and integrate AI solutions that align with the quality and transparency needs of an Audit practice.
- Use AI coding assistants to accelerate the rate at which you, and your team, deliver value.
- Collaborate with Audit practitioners and product teams to refine requirements and translate business needs into sound technical solutions.
- Consult with teams and Architects to build consensus on architectural approaches.
- Embrace a Shift Left mindset, weaving quality into the development lifecycle from the start.
- Proactively surface and address impediments to help teams meet Sprint objectives.
- Collaboratively contribute to establishing, reviewing, and upholding software development practices and architectural standards.
- Troubleshoot product issues quickly and efficiently across a range of systems.
- Minimum of 10 years of professional software engineering experience developing, implementing, and supporting enterprise applications using an n-tier architecture, the Microsoft technology stack, and the .NET framework.
- Strong experience with ASP.NET and modern client-side development in React or Angular.
- Strong experience building applications on the SQL Server platform using T‑SQL, stored procedures, and functions, and proficiency with Entity Framework or a comparable ORM.
- 1+ year experience designing and implementing AI-assisted workflows and solutions into software products using large language models on a major platform such as Microsoft Foundry, Anthropic, or OpenAI.
- Experience optimizing prompts, context management, and token usage to improve response quality while managing performance and cost.
- Hands‑on experience using an AI coding assistant such as Git Hub Copilot or Claude Code to accelerate development.
- Solid understanding of object‑oriented programming and ability to apply inversion of control and unit testing to deliver loosely coupled, high‑quality architectures.
- Experience with Azure Dev Ops (or a similar work‑item management tool) and Git for version control.
- Ability to conduct thoughtful code reviews and collaborate with others to improve solutions…
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