Senior Lead Software Engineer

Allegion•Carmel, IN

1d•Hybrid

About The Position

The Senior Lead Software Engineer is a hands-on player-coach who partners with business users, product leaders, and technology teams to solve high-value Order Management problems through secure, scalable software. The role spans discovery, solution design, hands-on development, deployment, and adoption, while leading and developing a small pod of engineers. The engineer translates ambiguous needs into production-ready applications, integrations, APIs, and data solutions, measures business impact, and creates reusable engineering patterns for the broader Order Management and enterprise application landscape. The role defines software engineering strategy, technology roadmaps, architecture direction, standards, and reusable practices for the Order Management organization. It serves as the principal technical authority for Order Management application architecture and engineering practices, partnering with senior IT and business leaders on investment priorities and strategic initiatives. The position provides enterprise-level technical leadership through influence, while remaining hands-on in design and delivery and coaching a small engineering team. This position follows a hybrid work model, combining in-person collaboration with remote work. Specific arrangements may vary by team and business needs, and Allegion reserves the right to change the hybrid schedule. Occasional travel to work alongside users and delivery teams may be needed, up to 15%. Candidates must be legally authorized to work in the United States; the company does not intend to provide employment visa sponsorship.

Requirements

Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience.
12+ years of significant experience designing, building, and operating production-grade full-stack software, enterprise applications, integrations, or data-intensive solutions.
Strong hands-on development skills in at least one modern programming language such as Python, C#, Java, or TypeScript, with experience using Git-based development practices.
Experience designing and integrating REST APIs, event-driven services, databases, and cloud-based application components.
Ability to work directly with business users, clarify ambiguous needs, and translate workflows into effective technical solutions.
Experience leading technical delivery across the full software lifecycle, including architecture, development, testing, deployment, monitoring, and support.
Working knowledge of evaluating and governing AI systems, including evaluation frameworks, guardrails, human-in-the-loop design, data privacy, and responsible-AI practices.
Strong troubleshooting and systems-thinking skills, with judgment to balance rapid delivery with security, reliability, and maintainability.
Effective written and verbal communication, including explaining complex technical and AI decisions, tradeoffs, and risks to nontechnical and executive stakeholders.
Player-coach leadership style, with experience mentoring and technically leading a small team while remaining hands-on and influencing teams without relying on formal authority.
Ability to manage multiple priorities and operate with autonomy.
Ability to travel occasionally to work alongside users and delivery teams, up to 15%.
Legally authorized to be employed in the United States; employment visa sponsorship is not intended for this position.

Nice To Haves

Experience with the Microsoft stack, including Azure (Azure AI Foundry, Azure OpenAI, Functions, Logic Apps), Dynamics 365, Power Platform, Copilot Studio, and Microsoft Fabric.
Experience with modern front-end frameworks, containerization, CI/CD, infrastructure as code, and observability tools.
Experience delivering generative AI or LLM-based solutions into production, such as retrieval-augmented generation, AI agents, or intelligent automation, including orchestration, prompt design, and integration with enterprise systems.
Experience with agent frameworks and orchestration, LLM observability and evaluation tooling, and building AI accelerators reused across multiple teams.
Knowledge of Order Management, quoting, configuration, pricing, fulfillment, EDI, ERP, CRM, or other complex enterprise workflows.
Experience in consulting, solutions engineering, customer engineering, technical product delivery, or another embedded engineering role.
Experience establishing reusable platforms, accelerators, or engineering patterns across multiple teams or business capabilities.

Responsibilities

Partner with business leaders, domain experts, product teams, and end users to identify valuable problems and define measurable outcomes.
Lead discovery and technical design, translating ambiguous operational needs into solution approaches, prototypes, and delivery plans.
Build and deploy production-grade applications, integrations, APIs, and data workflows that meet enterprise architecture and security standards, using AI capabilities when they provide clear business value.
Evaluate and implement automation, analytics, generative AI, and agentic capabilities where appropriate to reduce manual effort, improve decision-making, and streamline exception handling across the order-to-cash process.
Own solutions end to end, from development and testing through release, observability, adoption, and continuous improvement.
Work with delivery and operational teams to understand workflows, validate solutions in context, and shorten feedback cycles.
Make build, buy, configure, and integrate decisions while balancing speed, scalability, maintainability, risk, and user value.
Collaborate with architecture, cybersecurity, data, cloud/platform, product, and support teams to remove delivery barriers and operationalize solutions.
Establish reusable engineering patterns, reference implementations, integration approaches, and practical standards, including AI-related patterns when applicable.
Define and drive software engineering strategy for Order Management across business capabilities, applications, integrations, data platforms, and enabling technologies.
Establish Order Management technology roadmaps, architecture direction, engineering standards, and reusable practices aligned with enterprise objectives.
Serve as the principal technical authority for Order Management application architecture and engineering practices, partnering with senior IT and business leaders on investment priorities and strategic initiatives.
Anticipate industry and technology trends and translate relevant opportunities into scalable Order Management capabilities that improve customer experience, operational performance, and competitive advantage.
Drive alignment across engineering teams and partner with senior technical leaders to establish engineering standards, architecture direction, and technology best practices.
Communicate technical tradeoffs, progress, risks, and business impact to technical and executive stakeholders.
Remain hands-on in design and delivery while leading a small pod of engineers, setting technical direction, reviewing designs and code, and improving engineering and AI practices across the team.
Use AI-assisted engineering tools in daily delivery and coach the team to use them responsibly.

Benefits

Health, dental, and vision insurance coverage.
Unlimited paid time off.
401(k) plan with a 6% company match and no vesting period.
Health Savings Accounts.
Flexible Spending Accounts for healthcare and/or dependent daycare expenses.
Short- and long-term disability insurance paid for by Allegion.
Term life insurance with the option to purchase supplemental coverage.
Tuition reimbursement.
Voluntary wellness program with the opportunity to earn up to $2,000 in rewards.
Employee discounts through Perks at Work.
Community involvement and opportunities to give back.
CliftonStrengths assessment and coaching opportunities.
Professional development investment and opportunities.
Generous paid time off supporting work-life balance.