Cloud Engineer jobs in Chicago, IL

Define cloud engineering strategy, AWS architecture standards, and enterprise implementation patterns while leading complex initiatives to build scalable, secure, resilient, and cost-effective platforms. Guide reliability, security, compliance, disaster recovery, observability, and cloud migration efforts, while influencing technical roadmaps and mentoring engineers across teams.

The Customer Engineer will partner with sales teams to architect cross-pillar cloud solutions and serve as a trusted technical advisor to customers. They are responsible for developing technical account strategies, conducting demos and workshops, and facilitating the transition from sales to implementation.

The Customer Engineer will partner with technical sales teams to architect cross-pillar cloud solutions and serve as a trusted advisor to customers. They are responsible for driving technical wins, conducting workshops, and facilitating the transition from sales to implementation.

Drive technical wins for complex Cloud AI workloads by supporting the business cycle from evaluation through customer ramp. Provide deep technical consultation and develop prototypes to secure buy-in from customer domain experts.

Design, implement, and maintain secure, scalable Azure cloud infrastructure and platform engineering solutions. Collaborate with cross-functional teams to automate software deployment, optimize CI/CD pipelines, and ensure platform reliability.

Provision, configure, and maintain Azure resources to support Enterprise GIS environments and ArcGIS Enterprise deployments. Develop automation scripts and CI/CD pipelines while managing identity, access, and system documentation.

The Principal Software Engineer will own complex technical initiatives end-to-end, from requirements and architecture to implementation and delivery. They will also mentor engineers and collaborate with cross-functional teams to build scalable, cloud-native systems.

The role involves designing and securing AI-enabled products and cloud environments using Zero Trust principles and secure software development lifecycles. You will collaborate with stakeholders to implement production-quality AI security architectures and automated threat management capabilities.

The engineer will design and implement secure architectures for generative and agentic AI, applying Zero Trust controls across cloud environments and development pipelines. They will also lead client discovery sessions and develop production-quality AI security platforms while mentoring team members.