Top Senior IT Jobs in Wilmington, NC

Owns the strategy and execution of eDiscovery and information governance programs across business functions and enterprise platforms. Partners with engineering teams to improve EDRM capabilities, translates regulatory requirements into system controls, manages roadmaps, dependencies, risks, and audit documentation, and validates compliance tooling through comprehensive testing. The role also identifies automation opportunities, responsibly applies generative AI and workflow tools, and drives organizational adoption.

Lead architecture and delivery of IT automations and integrations across platforms (n8n, Airflow, Temporal, Jira). Act as technical DRI for complex automation projects, partner with Security and IAM, build reusable frameworks and documentation, establish engineering standards and code review practices, and mentor peers.

Own IT-specific Sarbanes-Oxley (SOX) compliance for ITGCs and ITACs. Assess SOX readiness for systems and process changes, maintain control documentation, coordinate walkthroughs and remediation, liaise with internal/external auditors, review SOC reports, oversee testing programs, and identify automation and AI opportunities to strengthen controls and reporting.

Own and automate end-to-end employee lifecycle and shared IT infrastructure using infrastructure-as-code and SRE practices. Manage ITSM platform and AI-driven virtual agents, build integrations (Okta, Workday, JAMF, Google Workspace, Slack, Zoom, GitLab), instrument metrics, ensure reliability and compliance, and mentor support engineers.

The Lead Technical Support Engineer resolves complex technical issues, provides mentorship, collaborates with teams, and improves support systems.

Lead enterprise cloud architecture, governance, and infrastructure enablement. Define reusable IaC patterns (Terraform), cloud networking (Transit Gateway, multi-account VPCs), and migration/data center exit strategies. Build architecture review processes, drive adoption of cloud-native practices (Kubernetes, CI/CD), and translate technical decisions for stakeholders while coordinating security and compliance.

Lead and execute remote technical implementations for dental practices from signing through go-live. Configure PMS integrations, set up remote access and network configurations, manage AWS-hosted Windows VMs/ETL, handle support volume, liaise with MSPs, and improve onboarding processes and automation while partnering with cross-functional teams.

Lead and coordinate IT and security audits across cloud infrastructure, application security, IAM, vendor risk, and blockchain products; shape audit roadmap; produce executive- and Board-level reports; drive remediation and validate corrective actions; partner with technology leaders and mentor audit staff.

Lead end-to-end IT and security audits across cloud infrastructure, application security, IAM, vendor risk, and blockchain products. Plan and execute fieldwork, produce evidence-based reports for senior leaders and the Audit Committee, mentor junior auditors, validate remediation, and partner with Engineering and Security to improve controls while maintaining audit independence.

Provide Tier 2 technical support and own escalations across devices, apps, and cloud platforms. Administer enterprise SaaS (Google Workspace, Atlassian, Okta, Jamf, Slack), perform root cause analysis, build SOPs/KB content, partner with cross-functional teams, and use automation and generative AI responsibly to reduce tickets and improve service.

Oversee multiple enterprise IT programs and projects for the CIDO organization. Responsibilities include managing schedules, budgets, risks, dependencies, staffing, requirements, testing, training, deployment, and change management. The role coordinates business and IT teams, facilitates stakeholder workshops, prepares executive dashboards, supports acquisition and delivery of IT solutions, and aligns digital strategies across corporate, sector, and functional leadership.

Lead backend and full-stack engineering strategy, design and deliver scalable, secure distributed systems and microservices for government customers. Drive architecture, data design, observability, CI/CD, cloud-native patterns, mentoring, and large modernization initiatives while collaborating with product and stakeholders.

Lead frontend engineering strategy, design and deliver accessible, performant government-facing web applications. Define frontend architecture, tooling, CI/CD, design systems, testing and accessibility practices; mentor engineers and collaborate with product to balance UX and implementation.

Deploys, hardens, troubleshoots, and modernizes Windows and .NET applications across on-premises environments and AWS. Responsibilities include Terraform infrastructure, CI/CD pipelines, SQL Server and Amazon RDS administration, load balancing, WAF configuration, observability, certificate management, automation, migrations, incident response, documentation, and collaboration with application owners. The role is remote but requires weekly onsite availability in Rockville, Maryland, and may involve occasional after-hours maintenance or outage troubleshooting.

Lead a remote analytics team to deliver dashboards, data products, and decision-support tools. Oversee project plans, stakeholder engagement, data platform modernization, ETL/automation, Tableau/Power BI deployments, statistical modeling, QA, metadata, and staff mentoring to support federal social service programs.

Design, develop, and modernize full-stack web applications using Java and Angular in a cloud microservices architecture. Build and deploy Dockerized services on AWS (ECS/ECR), implement REST APIs, write unit and automated tests, enforce code quality in GitLab pipelines, collaborate in Agile teams, and mentor teammates. Participate in sprint ceremonies, manage user stories, perform testing (functional, exploratory, performance), and resolve defects to deliver reliable production software.

Designs, deploys, and maintains enterprise cloud and on-premises network security (NGFW, SASE/SSE, visibility, micro-segmentation). Executes migrations, policy cleanup, automation, monitoring, documentation, and escalations. Collaborates across teams, coaches junior staff, and supports hardware/software acquisitions to sustain managed security services.

Establishes and maintains enterprise data governance frameworks, standards, ownership models, privacy controls, metadata, quality monitoring, and stewardship practices. Partners with legal, security, privacy, records management, engineering, and business stakeholders to ensure compliant data use. The role identifies governance risks, supports audits and remediation, develops documentation and training, monitors program metrics, and contributes to governance roadmaps and maturity improvements for a federal courts modernization program.

Establishes and operationalizes data quality practices across enterprise data domains and systems. Defines quality rules, controls, metrics, thresholds, and validation criteria; profiles data; develops scorecards and dashboards; investigates root causes; manages remediation; and implements automated monitoring. Partners with data owners, stewards, engineers, governance, security, and application teams to improve data reliability, privacy, compliance, standards, metadata, glossary, lineage, and data sharing across modernization initiatives.

Designs scalable, secure technology solutions connecting business objectives with application, integration, data, cloud, and enterprise systems. Responsibilities include developing architectures and roadmaps, modernizing processes through automation, governing APIs and data flows, incorporating security and compliance, guiding engineering teams, evaluating vendors, and facilitating stakeholder discovery workshops.

Leads risk-based IT audit projects covering planning, testing, reporting, IT controls, SOX/MAR compliance, and external auditor coordination. Evaluates control environments, identifies risks and deficiencies, recommends improvements, and communicates findings to management. Leads audit teams, mentors staff, supports professional practice initiatives, develops dashboards and automation, maintains methodology and policies, and builds relationships with business and IT process owners.

Designs and deploys AI/ML solutions from prototype through production for government clients. Responsibilities include generative AI using LLMs and RAG, intelligent classification, agentic frameworks, AI coding tools, legacy-system integration, and automated reporting. The role also establishes AI/ML roadmaps, scales adoption, communicates technical concepts to stakeholders, and mentors data scientists.

Leads enterprise-wide IT and digital transformation strategy, roadmap development, ERP and business application modernization, enterprise architecture, commercial systems, global invoicing, and post-merger technology integration. Oversees transformation portfolios, budgets, vendors, governance, compliance, and value realization across manufacturing, quality, supply chain, finance, human capital, and commercial operations. Builds high-performing technology teams and partners with executives to deliver measurable operational, financial, and customer experience improvements in a regulated environment.

Lead the corporate IT organization, including helpdesk and IT engineering, while aligning technology with strategic business goals. Define the IT vision, roadmap, metrics, budget, and resource allocation; drive AI automation, operational excellence, employee engagement, and continuous improvement. Partner with senior leaders and teams including HR Tech, Security, PMO, and Helpdesk to prioritize initiatives and deliver scalable solutions. Manage hybrid and international teams while developing talent and maintaining IT as a service-oriented strategic partner.

Identify and validate AI opportunities across IT operations and cybersecurity, including service management, threat detection, infrastructure monitoring, identity access, endpoint protection, and vulnerability management. Translate operational challenges into structured use cases, assess business value and risk, document data and integration requirements, promote responsible AI, facilitate stakeholder workshops, build internal champions, and monitor emerging AI capabilities while supporting security compliance and change management.