Top Tech Jobs & Startup Jobs in Chicago, IL

The Solutions Business Architect will lead strategic sales efforts for Cloud SaaS solutions, manage complex sales cycles, and engage with C-level executives. Responsibilities include interpreting customer needs, providing market input for product development, and collaborating with various teams.

Provide technical assistance and support for Calix Access products, troubleshoot complex network problems, and ensure customer satisfaction through effective communication and documentation.

The Staff Kubernetes Engineer will design, deploy, and manage Kubernetes clusters, ensuring security and performance while mentoring junior staff and promoting best practices in cloud infrastructure.

The role focuses on leading engineering operations, enhancing productivity, and managing CI/CD processes while ensuring security integration and collaboration across teams.

The Sales Director will manage Tier 1 accounts, leading a team to drive Calix's software solutions and fiber optic access growth, while establishing strong customer relations.

The Staff Database Infrastructure Engineer will design and manage database infrastructure, ensuring high availability and performance while collaborating with cross-functional teams to enhance data management capabilities.

The Senior Commercial Solutions Manager will develop business value propositions, assist sales teams, manage pricing structures, and enhance process efficiency while building key relationships across various departments.

Design and implement cloud infrastructure and data pipelines using GCP services, optimize performance, and collaborate with teams for seamless integration and automation.

The role involves designing and maintaining infrastructure for machine learning applications, deploying ML pipelines, optimizing resources on GCP, and ensuring system observability.

The Staff ML Ops Engineer builds and maintains infrastructure for ML applications, ensuring they are robust and production-ready, while collaborating with data scientists and ML engineers.