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Senior Director, Software Engineering
iALead the engineering organization in transforming the NEXiA pharmacy automation platform. Modernize legacy systems while ensuring high-quality delivery and operational excellence.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading engineering teams through technical and organizational transformation, with a strong focus on modernizing legacy platforms and integrating AI/ML capabilities. Proven ability to establish effective CI/CD practices and maintain operational continuity while driving product-aligned team structures.
Highest-signal resume keywords
Senior Engineering LeadershipLegacy Platform ModernizationAI/ML IntegrationCI/CD PracticesChange Management
ATS Keywords
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Hard Skills
.NETVB6API-First DecompositionDomain-Driven DesignAutomated TestingQuality GatesRelease EngineeringTelemetryPredictive MaintenanceIntelligent Automation
Soft Skills
Team LeadershipOrganizational TransformationSkill DevelopmentClear CommunicationPrioritization
Tools & Technologies
CI/CD PipelinesRegression SuitesSmartDispenserSmartPodRFID TotesScales
Industry Keywords
PE-Backed EnvironmentHigh-Growth EnvironmentOperational ContinuityBusiness OutcomesMulti-Year Platform Transformation
Tech Stack
Tools & technologiesCloud.NET
About the role
Key responsibilities & impact- Own the technical strategy and execution for the NEXiA core platform (Fulfillment + Retail), including development, release cadence, and quality
- Drive incremental modernization by decomposing the monolith into modules without disrupting production customers
- Converge the forked Fulfillment and Retail codebases into one configurable platform that serves both markets
- Establish automated quality gates, regression suites, and CI/CD pipelines that transform release cadence from "event" to "routine"
- Own the technical roadmap for NEXiA on-prem releases (17.x, 12.x) while building the bridge to cloud-native architecture
- Define and execute the strategy for embedding AI-enabled capabilities into the NEXiA platform, including predictive maintenance, self-healing systems, and workflow optimization
- Partner with Data/ML teams to instrument the NEXiA fleet, including SmartDispenser, SmartPod, 4L canisters, RFID totes, and scales, to support telemetry, predictive uptime, and intelligent automation
- Evaluate and integrate AI/ML capabilities that reduce cost-to-serve, improve self-service capabilities, and support data-driven business value creation
- Support the use of operational data to inform intelligent automation, product capabilities, and long-term platform value
- Lead 40–60+ engineers (direct + matrixed) through a multi-year platform transformation while maintaining delivery commitments to existing customers
- Lead engineering teams through organizational and technical transformation by supporting skill development, establishing clear expectations, and reinforcing modern engineering practices
- Restructure teams from technology-aligned silos to product-aligned squads that own modules end-to-end by value stream
- Establish dedicated support structures to maintain operational continuity and protect current customer commitments while product-aligned teams advance modernization priorities
- Establish engineering metrics (deployment frequency, change-failure rate, % logic under test, % features shared across markets) and hold teams accountable
- Prioritize, sunset, or discontinue features and initiatives that do not align with platform strategy, business priorities, or long-term scalability
Requirements
What you’ll need- 5+ years in senior engineering leadership (Director or above) managing 40+ engineers
- 12+ years in software engineering, with proven experience modernizing legacy platforms: .NET, VB6, or equivalent monolithic architectures — strangler-fig, domain-driven design, API-first decomposition
- Demonstrated experience leading engineering teams through technical and organizational transformation, including modernization of legacy platforms, adoption of new practices, and change management across established teams
- Experience with AI/ML integration, intelligent automation, or AI-enabled product capabilities, including embedding AI capabilities into existing platforms
- Experience making prioritization, resource allocation, organizational, and talent decisions in support of business and technology objectives
- Strong release engineering discipline, including CI/CD, automated testing, quality gates, and practices that improve release predictability and delivery confidence
- Experience in a PE-backed or high-growth environment: Engineering investment tied to business outcomes (ARR, margin, cost-to-serve)
- Experience leading fully remote or distributed engineering teams across multiple time zones
- Ability to travel based on business needs, including quarterly visits to our New York office, strategic planning meetings and customer engagements.
Benefits
Comp & perks- Generous time off policy that allows you to put your family first
- Opportunity to work on the cutting edge of pharmacy automation in a high growth tech company
- Competitive benefits, salary, and talent development opportunities
- Commitment to professional development and working for a company where your voice is heard