Software Engineering Leader

CLA (CliftonLarsonAllen)•Tampa, FL

6d•Hybrid

About The Position

CLA is a top 10 national professional services firm where our purpose is to create opportunities every day, for our clients, our people, and our communities through industry-focused wealth advisory, digital, audit, tax, consulting, and outsourcing services. Even with more than 8,500 people, 130 U.S. locations, and a global reach, we promise to know you and help you. We are seeking a Software Engineering Leader to help build, lead, and scale a growing software engineering capability within a client-facing consulting environment. This leader will oversee teams delivering custom software, cloud solutions, Microsoft platform solutions, automation, integrations, AI-enabled applications, and technology solutions deployed in client environments. This role is ideal for a technical leader who can combine software engineering judgment, architecture discipline, team leadership, delivery excellence, and practical consulting instincts. The right candidate will be comfortable leading both pro code and low code engineering work, helping teams choose the right solution approach based on client needs, technical complexity, scalability, maintainability, security, and long-term value. The Software Engineering Leader will play a key role in shaping how the team builds solutions, manages quality, develops talent, uses AI-enabled development tools, and scales delivery as demand grows.

Requirements

6 years relevant experience required.
7 Years preferred in software engineering, solution architecture, cloud engineering, application development, Microsoft platform delivery, or related technology roles.
Bachelor's degree is required.
Combination of relevant experience, education, and training may be accepted in lieu of degree.

Nice To Haves

3 or more years of experience leading engineers, technical teams, delivery teams, architecture functions, or software development initiatives.
Strong understanding of modern software engineering practices, including application architecture, APIs, integrations, cloud platforms, DevOps, testing, documentation, deployment, and supportability.
Experience working with Microsoft technologies such as Azure, Microsoft 365, Power Platform, SharePoint, Dataverse, Azure DevOps, GitHub, SQL, Entra ID, or related tools.
Ability to evaluate technical tradeoffs across custom software, low code platforms, cloud services, automation tools, integrations, and AI-enabled solutions.
Experience establishing or improving engineering standards, delivery processes, code review practices, QA expectations, release management, and production readiness.
Ability to lead teams delivering work in varied technical environments, including client-owned environments with unique security, infrastructure, access, deployment, and governance requirements.
Strong communication skills with the ability to translate technical concepts for business stakeholders, client leaders, project teams, and executive audiences.
Experience mentoring engineers, developing technical talent, and helping teams grow in both capability and delivery maturity.
Experience in consulting, professional services, client-facing technology delivery, managed services, or project-based delivery environments.
Experience leading blended teams that include software engineers, cloud engineers, Microsoft platform engineers, Power Platform developers, automation specialists, or data integration professionals.
Hands-on or leadership experience with Azure services, APIs, App Services, Azure Functions, SQL, API Management, Key Vault, storage services, infrastructure patterns, and CI/CD pipelines.
Hands-on or leadership experience with Power Apps, Power Automate, SharePoint, Dataverse, Copilot Studio, Power Platform governance, or Power Platform application lifecycle management.
Experience with DBX integration work, data platform integrations, enterprise system integrations, or solutions that connect multiple client systems and data sources.
Experience using or governing AI-enabled development tools, including code generation, AI-assisted testing, documentation support, agent-based applications, or Microsoft Copilot-related technologies.
Experience building reusable engineering assets, delivery frameworks, templates, accelerators, or technical standards that improve scalability and consistency.
Understanding of consulting economics, including estimation, utilization, margin, delivery risk, change management, and client expectation management.

Responsibilities

Lead and develop a software engineering team delivering custom applications, integrations, automation, Microsoft platform solutions, cloud-based solutions, and AI-enabled software.
Provide technical leadership across a broad range of solution types, including full stack applications, APIs, Azure services, Power Platform, SharePoint, Dataverse, workflow automation, DBX integration work, data platform integrations, and solutions built within client environments.
Establish and mature engineering standards for architecture, development, testing, documentation, deployment, security, supportability, and maintainability.
Guide solution design decisions, including when to use custom code, Microsoft platform capabilities, cloud-native services, automation tools, AI-enabled capabilities, or a hybrid approach.
Partner with client-facing teams to scope opportunities, estimate work, assess technical feasibility, manage delivery risk, and support successful project execution.
Create practical delivery patterns, reusable templates, accelerators, estimation models, and implementation standards that improve consistency, quality, and margin.
Lead engineering practices related to code review, solution review, DevOps, CI/CD, release management, QA, production readiness, and operational support.
Support work delivered in client environments, including adapting to client technology stacks, security requirements, infrastructure constraints, data access patterns, deployment processes, and governance requirements.
Mentor and coach engineers across different skill sets, including pro code developers, Microsoft platform engineers, automation specialists, cloud engineers, and emerging technical leads.
Help define hiring needs, role expectations, career paths, skill development plans, and team structure as the software engineering capability grows.
Promote the responsible use of AI-enabled development tools for coding, testing, documentation, analysis, solution design, and delivery acceleration.
Ensure AI-assisted work is reviewed appropriately and aligns with expectations for quality, security, confidentiality, maintainability, and client value.
Build a strong engineering culture that values technical excellence, practical problem solving, accountability, collaboration, continuous improvement, and client impact.