Top Tech Jobs & Startup Jobs in Chicago, IL

Designs, implements, and maintains large-scale distributed networks supporting a DoD Zero Trust program. Responsibilities include SD-WAN architecture, router, switch, and firewall administration, network upgrades, troubleshooting, traffic analysis, documentation, disaster recovery, standards compliance, and coordination with IT teams and vendors. The role serves as a Zero Trust network architecture subject matter expert, mentors junior engineers, and supports installations and migrations across multiple global locations.

Leads enterprise services sales and growth across Global Service Provider customers, including Tier 1 operators and Sports & Entertainment accounts. Develops executive relationships, drives large strategic pursuits, increases services attach and margins, and expands consulting, engineering, AI, cloud, cybersecurity, infrastructure, and managed services adoption. Provides mentorship, supports recruiting, manages partner capacity, improves forecasting and delivery processes, and collaborates with practice and delivery leaders to evolve the services portfolio.

Leads the design, implementation, maintenance, and security of complex LAN, WAN, wireless, cloud, and Zero Trust network environments. Diagnoses complex issues, plans capacity and future services, manages network engineering projects, documents configurations, maintains disaster recovery procedures, monitors threats, and addresses vulnerabilities. The role also mentors engineers, evaluates technologies, supports vendor activities, and performs installation, migration, and configuration work for a DoD client across multiple locations.

Leads the functional and technical design, development, integration, and strategic roadmap for UKG Pro WFM and related enterprise systems. Oversees complex solutions spanning multiple systems, guides implementation and architecture decisions, resolves high-impact issues, improves processes, manages risk, and collaborates with business, IT, leadership, vendors, and delivery teams. Provides mentorship and drives innovation, scalability, security, and alignment with organizational goals.

Leads the regional PMO, overseeing project management teams, personnel development, recruitment, utilization, financial health, P&L control, forecasting, cost centers, risk mitigation, and issue resolution. Drives PMO best practices, methodology and deployment improvements, KPI performance, staffing plans, and adoption of corporate initiatives while partnering with regional managers, sales, and operations.

Lead pre-sales technical engagements to design and optimize scalable cloud lakehouse data platforms (Snowflake/Databricks). Provide architecture reviews, ETL/ELT pipeline design, governance and AI-ready data foundations, support services sales, and translate technical tradeoffs into actionable recommendations for engineering and executive stakeholders.

Executive leader owning end-to-end delivery and P&L for a broad services portfolio (network, security, Microsoft, AI/GPU, managed services). Define multi-year strategy, drive zero-defect delivery, optimize utilization and KPIs, scale delivery organizations, integrate AI/automation, partner with Sales, and represent the company at the C-suite and Board level.

Designs, builds, and maintains enterprise data pipelines, ETL processes, integrations, cloud data infrastructure, and complex data models. Supports analytics partners, develops data warehouse solutions, tunes SQL and database performance, troubleshoots production issues, and delivers end-to-end data engineering projects. The role collaborates with architects, analysts, developers, and business stakeholders, applies big data technologies, supports agile delivery, and mentors team members.

Designs and demonstrates computer vision solutions for customer opportunities, including model selection, data strategy, evaluation, edge deployment, and business-case development. The role leads discovery, high-level architecture, proofs of concept, demos, partner engagement, and technical enablement. It requires hands-on expertise across classical computer vision, deep learning, video intelligence, vision language models, model lifecycle management, and edge optimization, plus strong customer-facing and commercial communication skills.

Provides technical advisory expertise for AI factory liquid-cooling systems, including direct-to-chip and rear-door cooling, CDUs, manifolds, controls, water systems, and heat rejection. Reviews designs, sizes and validates cooling capacity for high-density racks, evaluates OEM and trade-partner deliverables, supports commissioning, identifies technical risks, and advises on PUE/WUE targets. The role also contributes to standards, training, partner qualification, and NVIDIA platform readiness, with travel up to 50%.