Microsoft Software Developer Jobs in Indianapolis, IN

This is an opportunity to shape and scale a growing software engineering capability. The Software Engineering Leader will help define how the team builds solutions, develops talent, applies modern engineering practices, uses Microsoft and cloud technologies, integrates with client systems, and delivers meaningful outcomes for clients. The right person will bring technical credibility, leadership maturity, consulting judgment, and a practical vision for how software engineering, cloud platforms, low‑code tools, integrations, and AI‑enabled development can work together to solve real business problems.

• 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 client‑environment solutions.
• 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, 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.

Hands‑on technical leader who has grown beyond individual contribution into team leadership, architecture, delivery oversight, and capability building. Comfortable leading engineers, communicating with business stakeholders, and guiding technical decisions without overcomplicating solutions. Understands that successful consulting delivery requires clear scope, strong communication, delivery discipline, maintainable design, quality control, and practical judgment.

• Minimum of 6 years relevant experience in software engineering, solution architecture, or related roles; 7 years preferred.
• Bachelor’s degree required, or an acceptable combination of experience, education, and training.

• 3+ years of experience leading engineers, technical teams, delivery teams, or architecture functions.
• Strong understanding of modern software engineering practices—architecture, APIs, integrations, cloud platforms, DevOps, testing, documentation, deployment, and supportability.
• Experience with Microsoft technologies such as Azure, Microsoft365, Power Platform, SharePoint, Dataverse, AzureDevOps, GitHub, SQL, EntraID, or related tools.
• Ability to evaluate technical trade‑offs 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, and governance requirements.
• Strong communication skills, translating technical concepts for business stakeholders, client leaders, and executive audiences.
• Experience mentoring engineers, developing technical talent, and helping teams grow in 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 connecting 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—estimation, utilization, margin, delivery risk, change management, and client expectation management.

• Software engineering leadership
• Solution architecture
• Cloud architecture
• Microsoft platform delivery
• Power Platform governance
• Application development
• API and systems integration
• DevOps and CI/CD
• QA and production readiness
• Client environment delivery
• AI‑enabled software development
• Technical team leadership
• Consulting delivery discipline
• Reusable asset development
• Technical standards and governance
• Stakeholder communication

Success will be measured by the leader’s ability to build a scalable, high‑quality software engineering capability that consistently delivers value to clients. Early achievements include assessing current engineering practices, clarifying standards, identifying capability gaps, improving delivery consistency, and establishing practical expectations for architecture, development, testing, deployment, documentation, and support. Over time the leader will mature the organization toward clearer roles, stronger technical leadership, better delivery patterns, improved quality controls, reusable assets, and a more intentional approach to hiring and skill development, fostering an engineering culture that balances speed, quality, and responsible AI usage.

CLA is an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, disability status, protected veteran status, national origin, or any other characteristic protected by law. If you require reasonable accommodation when completing an application, interviewing, completing any pre‑employment testing, or otherwise participating in the employee selection process, please contact mypeoplesolutions@claconnect.com.