Vice President, Engineering Cloud, DevOps & AI Modernization (Onsite) Overland Park, KS

Vice President, Engineering Cloud, DevOps & AI Modernization

At Netsmart, we are focused on moving healthcare forward through technology that supports providers, clinicians, clients, and communities. As healthcare continues to evolve, our engineering teams are modernizing platforms, strengthening cloud-based delivery, improving DevOps practices, and exploring responsible AI-enabled capabilities that create meaningful value across our solutions.

About the Role

Netsmart is seeking a Vice President, Engineering Cloud, DevOps & AI Modernization to lead software engineering teams through the next stage of modernization and scale. This is a senior engineering leadership role for someone who has grown through software development, understands how complex applications are built and operated, and can lead teams through cloud transformation, DevOps maturity, and AI-aware product evolution.

This leader will provide strategic and operational leadership across engineering, partnering closely with Product, Architecture, DevOps, Cloud Infrastructure, Security, Compliance, Data, and business stakeholders. The right candidate will bring strong software development credibility, cloud experience, DevOps leadership, a strong culture-first mindset, and experience working with global/offshore engineering teams, including teams in India.

This role is onsite in Overland Park, KS, and candidates must live in or relocate to the Greater Kansas City metro area.

What You'll Do

Engineering Leadership & Culture

Lead and scale high-performing software engineering teams with a focus on accountability, collaboration, technical excellence, and delivery discipline.

Build a strong engineering culture rooted in ownership, trust, transparency, continuous improvement, and practical innovation.

Coach and develop engineering leaders and teams while creating clarity around priorities, expectations, decision-making, and execution.

Partner across Netsmart's matrixed organization to align engineering priorities with business goals, client needs, product strategy, and operational commitments.

Serve as a credible, hands-on executive who can engage with teams at both the strategic and technical level.

Software Development & Modernization

Lead engineering execution across complex enterprise software platforms, balancing current-state application realities with future-state modernization goals.

Guide teams through legacy application modernization, platform scalability, service decomposition, API-first design, architectural simplification, and cloud-readiness.

Strengthen engineering practices across design, development, code quality, testing, security, reliability, observability, and production support.

Partner with architecture and engineering leaders to establish reusable patterns, standards, and practices that improve consistency and speed across teams.

Ensure teams can deliver stable, secure, scalable solutions while continuing to modernize core platforms over time.

Cloud, DevOps & Operational Excellence

Drive cloud and DevOps maturity across engineering teams, including CI/CD, automation, infrastructure-as-code, deployment reliability, monitoring, observability, and incident readiness.

Partner with DevOps, Cloud, Hosting, Security, and Infrastructure teams to improve how software is built, deployed, operated, and optimized.

Guide engineering teams in building cloud-enabled solutions with a strong understanding of AWS, distributed systems, scalability, performance, security, and cost awareness.

Promote engineering practices that improve release confidence, production stability, operational efficiency, and developer productivity.

Help teams move from project-based transformation toward sustainable cloud and DevOps operating models.

AI-Aware Engineering & Future-Ready Development

Help engineering teams understand where AI, automation, analytics, and data-driven capabilities can responsibly improve products, workflows, development practices, and operational outcomes.

Partner with Product, Data, Security, Compliance, and Architecture leaders to evaluate AI-enabled opportunities with appropriate governance, privacy, security, and risk considerations.

Support practical adoption of AI concepts in engineering, including intelligent automation, developer productivity, data-driven decision-making, and responsible AI-enabled product capabilities.

Balance innovation with execution discipline, ensuring AI opportunities are connected to measurable business, client, and product value.

Global Engineering Partnership

Lead effectively across distributed and global engineering teams, including teams in India.

Create strong alignment, communication rhythms, ownership models, and delivery expectations across U.S. and India-based teams.

Build trust and accountability across locations while ensuring teams are connected to shared architecture, engineering standards, product priorities, and delivery outcomes.

Operate successfully in a matrixed organization where influence, collaboration, and clarity are essential.