Top Tech Jobs & Startup Jobs in Chicago, IL

As a Staff Engineer, you will enhance Flink SQL components, ensuring efficient stream processing and contributing to Open Source Apache Flink. Responsibilities include design, code quality, mentoring, and industry engagement.

As a Staff Product Manager at Confluent, you'll lead major product initiatives, ensure effective communication across teams, and enhance the product strategy for Kafka Connect, aiming for successful enterprise-grade integrations.

Design and develop a scalable storage engine, lead engineering efforts, collaborate cross-functionally, and mentor junior engineers while ensuring system reliability and performance.

As Director of Product Management, you will design pricing models, collaborate with teams, drive pricing strategy, and manage a team of product managers.

This internship focuses on sales operations analysis, performance insights, pipeline generation, and strategic recommendations. Ideal for data-driven individuals interested in influencing sales strategies.

The Senior Software Engineer II will lead the Compute Platform team, focusing on multi-tenant, cloud-native systems, Kubernetes orchestration, security, and API design, while delivering scalable solutions and mentoring other engineers.

The Senior Software Engineer II will architect, build, and operate core services for the company's cloud infrastructure. Responsibilities include designing scalable platform services, leading operational design for reliability, building automation for self-healing systems, and collaborating across engineering and security teams.

Lead Product-Led Growth strategy and execution, partner with teams across the company to drive growth, and ensure measurable business outcomes through data analysis and cross-functional collaboration.

The AI Architect will design and implement AI tools, develop secure integration layers, and oversee cloud deployment and governance of AI systems, working collaboratively with internal stakeholders to address technical needs.

Lead a 6-8 engineer team building the Secure Compute Platform across AWS, Azure, and GCP. Own roadmap, architecture, and execution for isolation, identity, networking, container runtimes and Kubernetes. Drive reliability, observability, platform adoption, cross-team partnerships, hiring, mentorship, and adoption of AI-driven tools to scale secure, multi-tenant distributed systems.