Top Staff Engineer Jobs in Chicago, IL

The Staff Machine Learning Engineer will lead ML initiatives, develop ML systems, collaborate with cross-functional teams, and mentor junior engineers to optimize healthcare intake workflows using advanced machine learning techniques.

Design, build, and run secure production infrastructure across cloud-native and air-gapped deployments. Own end-to-end platform outcomes, harden the artifact pipeline for signed releases, embed with teams to advise on security and deployment best practices, and partner with GRC on STIGs, CVE remediation, and audit readiness for classified environments.

The Senior Staff Software Engineer will architect Affirm's lakehouse analytics platform, lead data governance efforts, mentor engineers, and collaborate across teams to optimize data solutions using Snowflake and other big data tools.

Lead development of AI-assisted reliability tooling, own incident response end-to-end, improve observability and SLO/SLI frameworks, scale single-tenant SaaS operations, mentor engineers, and reduce recurring operational toil through engineering and automation.

The role involves defining reliability strategies, leading initiatives across teams, enhancing monitoring and incident response, and mentoring engineers at Dropbox.

The Staff Software Engineer will architect and develop high-performance cloud services, resolve infrastructure bottlenecks, ensure engineering best practices, and mentor junior members.

Lead design and implementation of a unified event-tracking data platform. Collaborate with Data, Product, and Engineering to build reusable event-publishing frameworks, monitoring/alerting, and deprecate legacy systems. Coach mid-level engineers, influence roadmap and processes, manage cloud/SaaS spend, create documentation, and participate in on-call rotations to ensure platform reliability and data trustworthiness.

The Staff Cloud Security Engineer will secure cloud infrastructure for Huntress, focusing on product security, risk management, and compliance for a SaaS platform. Responsibilities include collaborating with DevOps, managing vulnerabilities, threat modeling, and developing incident response strategies.

Lead cross-pod technical direction and system design for high-scale backend services, embed AI-native development practices, collaborate with product and design, mentor engineers, and drive ambiguous initiatives from design through production.

The Engineering Manager for Developer Productivity will lead a remote team to enhance developer productivity, focusing on AI integration, tooling evaluation, and team development while collaborating with cross-functional partners.

Lead architecture, planning, and delivery of embedded manufacturing acceptance test software for EOIR hardware. Manage a team of engineers, coordinate cross-functional IPT activities, design/integrate/validate test software, produce test documentation and procedures, review product testability, and support new production line introduction and NRE execution.

Lead environmental remediation system design and assessments including detailed drawings, specifications, and calculations. Coordinate multidisciplinary teams, manage field activities and subcontractors, perform O&M and monitoring, support reports and budgets, mentor junior staff, and travel up to 25% for construction, startup, and client meetings.

Lead design and coordination of site development and redevelopment projects including roads, stormwater, utilities, grading, and subdivision master plans. Produce construction documents, calculations, and reports, manage permitting with municipalities, ensure regulatory compliance, and support project management from design through completion.

Lead design and implementation of shared, reusable analytics data models and pipelines. Drive standardization, governance, observability, and CI/CD for analytics; partner with Data Science, Infrastructure, and Product to certify metrics, modernize orchestration, and integrate AI-native tooling.

The Staff Software Engineer will lead technical strategy, ensure system availability, and develop backend systems at scale, collaborating across teams to drive capacity modeling and operational quality.

The Staff Machine Learning Engineer will design and build scalable ML systems, mentor engineers, and drive AI strategy at SailPoint, focusing on AI-powered identity security solutions.

Lead the technical direction of a computer vision platform for sidewalk inspection. Responsibilities include managing ML models, improving data pipelines, and architecting systems for terabytes of geospatial data.

Develop ML/RL models and infrastructure for AV simulations, optimize training loops, and support project timelines in autonomous vehicle tech.

Design, build, and operate backend systems for prediction markets, including order management, trade matching, settlement, and market resolution. Architect distributed, low-latency systems with strict financial correctness, lead multi-quarter technical projects, mentor engineers, and collaborate with Product, Compliance, and Risk to meet regulatory requirements.

Design, build, and ship production-grade agentic AI workflows using LangGraph, Temporal, and Pydantic. Implement AI observability with LangFuse, set AI engineering standards (RAG, prompt management, tool-calling), benchmark LLMs, deploy cloud AI (containerization, cost management), and mentor engineers while supporting enterprise SLA, security, and compliance needs.

The role involves leading application performance improvements across multiple platforms, focusing on measurable metrics and driving engineering standards and workflow optimization, using both hands-on coding and strategic influence.

The role involves providing technical leadership, hands-on execution, and cross-team influence in software engineering, focusing on solutions for scaling and performance challenges while using AI tools.

The role involves architecting and improving data systems, defining governance standards, optimizing performance, and mentoring engineers in data engineering.

As a Staff Software Engineer, you will enhance platform engineering by improving deployment strategies and developer experiences, establishing reliable systems and mentorship across teams.

Serve as the technical IC leader for the Provider organization: set technical roadmap and engineering standards, design and review architectures, drive cross-team initiatives, mentor engineers, and deliver high-throughput, low-latency, cloud-based microservice systems for provider-focused products.