Top Tech Jobs & Startup Jobs in Chicago, IL

Design and build multi-agent applications using Google's ADK, including agents, tools, backend APIs, databases, and TypeScript web interfaces. Deploy and operate services on GCP with Cloud Run and Agent Engine. Develop evaluation suites, feedback loops, tracing, logging, authentication, CI/CD, and comprehensive testing to ensure reliable agent behavior. Integrate Gemini models, REST and MCP tools, and customer systems while using AI coding assistants and collaborating with technical leads and stakeholders.

Own application architecture across customer engagements, designing cloud-native systems and leading engineering teams. Support pre-sales through discovery, solution scoping, estimates, proposals, and technical presentations. Produce architecture documentation, guide implementation, resolve delivery issues, establish engineering standards, and remain hands-on when needed. The role also defines agentic AI delivery practices and maintains alignment among customers, stakeholders, project managers, and cloud architects.

Own the product backlog and roadmap for cloud-native applications, writing user stories and acceptance criteria, prioritizing work, and partnering daily with engineering and UX. Lead user discovery, usability testing, releases, Agile ceremonies, client engagement, and outcome measurement. Analyze product data, make technical trade-offs, coordinate CI/CD releases, and translate client goals into measurable product outcomes.

Lead enterprise change management and technology adoption programs for Google Workspace and Gemini Enterprise deployments involving 20,000 or more users. Advise executives, conduct workshops, develop stakeholder engagement and communications strategies, design enablement and Champions programs, measure adoption and business value, support proposals and sales activities, and mentor change management professionals.

Develop and maintain core components of a modern digital auction platform using C# and .NET Core. Responsibilities include designing data models, building RESTful APIs, integrating legacy and third-party systems, developing Azure DevOps CI/CD pipelines, troubleshooting performance issues, conducting code reviews, documenting best practices, and collaborating with product managers and multiple engineering teams.

Owns end-to-end application features across React, Spring Boot, Node.js, and PostgreSQL. Responsibilities include translating Figma designs, developing APIs and supporting services, evolving data models, writing tests, deploying on Google Cloud, maintaining CI/CD pipelines, collaborating with stakeholders, and documenting architecture, APIs, and data models.

Responsible for hands-on OS modernization (RHEL7 -> EL8/EL9), RPM packaging and packaging migrations (Chef -> CINC), CI/CD hardening, automation of runbooks, Tier-2 incident response, service onboarding to observability stacks (Prometheus/Grafana/Chronosphere/Splunk), and end-to-end bug ownership and documentation. Works closely with SREs and stakeholders through design, rollout, and rollback of large-fleet changes.

Staff Security Platform Engineer responsible for backend integrations and policy platform use cases using Golang, MongoDB, Snowflake, and AWS. Owns technical design through delivery, documents decisions, follows testing and deployment practices, reviews code, and provides technical direction to an IC4 engineer. Collaborates closely with customer stakeholders, communicates risks and progress, and ramps quickly on the customer codebase.

Develop, optimize, automate, and support bioinformatics pipelines in an on-premise HPC environment. Integrate pipelines with laboratory systems and Illumina, Oxford Nanopore, and PacBio sequencing instruments; troubleshoot genomic data movement and delivery issues; maintain technical infrastructure; and support increased workload from an LIS transition to Epic Beaker. Participate as a full member of an agile pipeline team while collaborating with bioinformatics specialists and customer stakeholders.

Build and maintain Go-based backend services and APIs on AWS for agentic AI workflows, including metadata suggestions, automated ownership reassignment, system deprecation, and agent/MCP inventory. Design database schemas and queries in PostgreSQL and MongoDB, integrate asset discovery tooling, map dependencies and user journeys, and refactor legacy code safely. Deliver tested features through Agile/Scrum while collaborating with program and customer teams.