Director, Software Engineering – Security and Alarm

EverCommerce

. Lead, coach, and hold Engineering Managers accountable for team outcomes .

Posted 10/13/2026full-timeRemote • Colorado • United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in leading engineering teams, managing delivery health, and executing technology modernization strategies. Proficient in aligning engineering priorities with business objectives while fostering a culture of accountability and psychological safety.

Highest-signal resume keywords

10+ Years Software Engineering Experience5+ Years Leading Engineering ManagersProven Record of Delivery and Quality OwnershipStrong Executive Communication SkillsExperience Managing Engineering Budgets

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

C#.NETMicrosoft SQL ServerTechnology Modernization StrategyScrum PracticesCapacity PlanningPerformance Trade-offs AssessmentAI-assisted Development ToolsLegacy-to-Modern Platform TransitionsTeam Health Metrics

Soft Skills

CoachingBuilding AlignmentAccountabilityPsychological SafetyProactive Problem Solving

Certifications & Qualifications

B.S. Degree in Technical Discipline

Industry Keywords

Enterprise SoftwareAlarm MonitoringSecurityMission-Critical Industries

Tech Stack

Tools & technologies

MS SQL ServerSQL.NET

About the role

Key responsibilities & impact

Lead, coach, and hold Engineering Managers accountable for team outcomes
Build a management bench and succession pipeline through development plans
Hire and retain engineering talent at manager and senior individual contributor levels
Address senior performance issues proactively
Build a culture of psychological safety, accountability, and engineering excellence
Own delivery health across multiple teams and sprints
Identify systemic delivery risks and remove structural, process, and personnel impediments
Define and track engineering health metrics covering delivery consistency, quality, and team engagement
Own capacity planning, budget, and headcount forecasting
Ensure healthy Scrum practices across the organization and coach managers on facilitation and delivery habits
Partner with Architects and Staff Engineers on architectural coherence and technical quality
Own technical debt and modernization decisions, including build, buy, and modernize choices
Translate business strategy into engineering priorities and roadmaps with Product
Communicate engineering status and strategy to executive audiences
Build alignment across engineering, product, and business leadership
Represent engineering in budget, headcount, and planning discussions

Requirements

What you’ll need

10+ years of software engineering experience, including 5+ years leading engineering managers or multiple teams
Proven record of owning delivery, quality, and team health across multiple Scrum teams
Experience hiring, developing, and retaining engineering managers and senior engineers
Experience building and executing a technology modernization or platform migration strategy for established products
Working knowledge of C#, .NET, and Microsoft SQL Server sufficient to assess architecture, quality, and performance trade-offs
Strong executive communication skills and ability to build alignment across engineering, product, and business leaders
Experience managing engineering budgets, headcount, and capacity planning
B.S. degree in a technical discipline or equivalent experience (preferred qualification)
Experience with enterprise software for alarm monitoring, security, or other mission-critical industries (preferred)
Experience with legacy-to-modern platform transitions, such as moving Visual Basic or other older codebases to .NET (preferred)
Experience leading distributed teams across time zones and including contract partners (preferred)
Experience applying AI-assisted development tools to improve engineering throughput (preferred)

Benefits

Comp & perks

Equal opportunity employer valuing diversity
Authorized AI tools encouraged where appropriate to improve efficiency, quality, and innovation
AI use supported subject to confidentiality, data security, intellectual property, accuracy, and human review requirements