Top Solutions Engineer Jobs in Chicago, IL

Serve as the technical lead for partner integrations of DNSid: design and build production-grade integrations, run POCs and workshops, produce enablement materials, translate partner requirements into product feedback, and own the path from demo to deployment while collaborating with product, standards, and engineering teams.

Own and manage Microsoft Power Platform services, including Power Apps, Power Automate, Dataverse, and Copilot Studio. Identify automation opportunities with business teams and deliver efficient solutions. Develop PowerShell automation for Microsoft 365 and platform processes, while providing documentation, training, support, and best-practice guidance. The role is fully on-site at Uline’s Pleasant Prairie, Wisconsin headquarters.

As a Pre-Sales Solutions Engineer, you will drive technical pre-sales engagements, architect custom solutions, and guide customers on API integration and deployment strategies, enhancing their experience with Voice AI technologies.

Design and articulate technical solutions using Apex APIs, engage with clients post-sale to implement integrations, lead architecture discussions, document customer requirements for product teams, and influence product roadmap. Build expertise in cloud, microservices, real-time processing, and present technical concepts to stakeholders.

Lead enterprise B2B integration projects for strategic customers using APIs, webhooks, connectors, cloud services, and scalable integration architectures. Translate business requirements into technical designs, build and review code, manage complex projects, troubleshoot deployments, and advise customers and internal teams on integration best practices. Collaborate with product, sales, support, and developer ecosystem teams while supporting multiple customer engagements and improving professional services methodologies.

Serve as the primary technical resource for enterprise manufacturing accounts, designing and deploying integrations between Oden and factory systems. Build connector libraries, configure AI and ML solutions, troubleshoot distributed systems and data pipelines, analyze large datasets, and support customer deployments. Partner with customers, Data Science, Product, and Engineering teams to manage technical risks, improve platform capabilities, and document repeatable implementation practices. Travel to customer sites approximately 25–40%.

Serve as the primary pre-sales technical partner for manufacturing customers. Lead discovery, requirements gathering, production-data and CAD analysis, robotic automation solution design, scoping, cost estimation, proposal support, customer design reviews, and handoffs to deployment. Manage multiple technical workstreams, improve standard designs and procedures, identify offering gaps, and visit customer sites for discovery and validation. Expertise in palletizing or case packing and major six-axis robot platforms is preferred.

Develops and deploys workflow automation, business applications, integrations, forms, and technical tools using SharePoint and Microsoft Power Platform. Translates operational requirements into technical designs, configures and tests solutions, troubleshoots issues, supports user acceptance, and documents implementations. Work is performed in government-managed environments under oversight and requires production deployment approval. The role also supports workflow optimization and collaboration with analysts, engineers, and system owners.

Build, enhance, and support microservices powering financial portfolio construction, data integrations, and real-time operational workflows. Develop production applications, APIs, cloud-native services, data pipelines, and containerized deployments while collaborating with stakeholders to deliver reliable platform capabilities. Responsibilities include software testing, debugging, troubleshooting, and supporting technology infrastructure for customized investment portfolios.

Provides embedded analog, signal conditioning, and power management engineering support to customers. Develops demos, proofs of concept, reference designs, and board-level solutions; performs schematic reviews, system bring-up, debugging, testing, and training. Builds semiconductor design wins and customer relationships while advising on architectures, power conversion, mixed-signal systems, and communication protocols. Manages multiple engagements, collaborates globally, and delivers technical presentations and workshops.

Leads the design, development, configuration, integration, modernization, and production support of Nasdaq Calypso solutions across capital markets functions. Translates business requirements into technical designs, oversees testing and deployments, optimizes performance and resiliency, manages incidents, and ensures compliance with security, regulatory, architecture, and risk standards. Mentors technical teams, coordinates lifecycle initiatives, and partners with business stakeholders, vendors, infrastructure, cybersecurity, and enterprise architecture teams.

Designs and executes network test plans, supports optical and Ethernet network deployment, commissions Ciena equipment, provisions services, analyzes optical performance, troubleshoots issues, trains customers on network management systems, and produces technical documentation. The role provides onsite subject matter expertise at Scott AFB and supports network modernization, interoperability, and implementation across Layer 0 through Layer 2, with some Layer 3 responsibilities.

Designs, tests, implements, commissions, and supports Ciena optical and network solutions within customer legacy and greenfield environments. Develops test plans, validates interoperability and performance, provisions network services, troubleshoots optical issues, supports deployment, trains customers on network management systems, and produces configuration and testing documentation. The role is onsite at Fort Meade, requires an active Secret clearance and U.S. citizenship, and includes travel up to 25%.

Design, implement, and optimize edge computing solutions; collaborate with customers and engineering teams; run POCs; produce documentation and training; provide technical support and troubleshooting.

Lead onsite discovery, design, integration, programming, and commissioning of industrial robotics cells for enterprise distribution centers. Own robot motion, palletizing and sortation logic, functional safety, controls interfaces, vision-to-motion workflows, failure recovery, operator interfaces, testing, documentation, and customer handoff. Collaborate directly with distribution, engineering, IT, maintenance, and EHS stakeholders while converting customer-specific solutions into reusable platform capabilities.

Own the technical strategy and execution of strategic partner integrations. Design, build, support, and govern secure integrations with transportation management systems, load boards, financial data providers, and other partners. Lead technical onboarding, translate business requirements into solutions, troubleshoot performance issues, document architectures and data flows, and collaborate with Product, Engineering, Sales, and Partnerships. Mentor team members and provide technical expertise during partner and client engagements.

Design, build, test, deploy, and troubleshoot integrations between Vividly and customer ERP, banking, and other systems. Translate accounting workflows into technical designs, define mappings and transformations, lead technical discovery, support customer UAT, document solutions, and resolve production issues. The role also develops reusable integration patterns, improves APIs and integration frameworks, and advises customers and internal teams on technical architecture and system constraints.

Lead enterprise B2B integration projects for strategic customers using APIs, webhooks, connectors, cloud services, and scalable integration architectures. Gather requirements, design technical solutions, develop and review code, document best practices, troubleshoot implementations, and support customer deployments. Collaborate with product, sales, systems engineering, and developer ecosystem teams while managing complex projects and multiple stakeholders. Apply Python, cloud platforms, LLM-based tools, agentic workflows, databases, and modern Agile practices.

Primary technical resource for hyperscale sales: design complex colocation/hosting solutions, present demos and proposals, answer technical and business questions, respond to RFPs, and coordinate requirements with operations to deliver contractual and service documentation.

Architects, implements, and operates secure, scalable Microsoft Azure solutions supporting generative AI and scientific research. Develops Terraform infrastructure, automation, and CI/CD pipelines; integrates compute, storage, networking, identity, security, monitoring, APIs, and AI services. Troubleshoots performance, reliability, security, and cost issues across application and infrastructure layers. Partners with developers, AI engineers, security teams, and customers to translate requirements into architecture, mentors engineers, evaluates tradeoffs, and supports compliance and authorization activities.

Lead design and delivery of enterprise-grade integrations between Samsara and customer systems. Own architecture, implementation, mentorship, cross-functional coordination, troubleshooting, automation, and customer-facing technical enablement for complex B2B integrations.

As a Senior Solutions Engineer, you'll support enterprise clients in DACH by leading technical solutions, managing relationships, and ensuring secure deployments of Firefox Enterprise.

Lead post-sales integrations and implementation projects for software partners, translating business needs into technical solutions, managing project plans, documentation, KPIs, and cross-functional coordination while providing ongoing integration support and product expertise for Payabli's payments platform.

Lead design and development of scalable, cloud-native AI healthcare payment integrity platforms. Provide technical leadership, own production code and releases, design data/retrieval architectures, ensure observability, security, and compliance, and collaborate with ML, product, and architecture teams to deliver performant SaaS solutions.

Designs, provisions, and operates secure, scalable cloud environments supporting AI, ML, LLM, and data engineering solutions. Builds Infrastructure as Code, DevOps pipelines, containerized and serverless deployments, observability platforms, and compliance guardrails. Reviews infrastructure designs, creates operational documentation, and leads cloud infrastructure decisions on client engagements. Collaborates with architects, engineers, client IT, and security teams across development and production environments.