Top Platform Engineer Jobs in Chicago, IL

Lead enterprise platform strategy and architecture for cloud, data, and AI platforms (Fabric, Databricks, Synapse, OpenAI/Foundry). Own platform lifecycle, establish standards and guardrails, drive modernization and cost optimization, influence governance, mentor senior engineers, and partner with executives to translate strategy into platform capabilities.

Lead platform engineering for Capital One’s cloud operations resilience infrastructure. Responsibilities include designing, developing, testing, deploying, and supporting full-stack technical solutions; improving engineering practices; ensuring availability, resilience, and scalability; partnering with product owners; mentoring engineers; and adopting emerging technologies. The role uses AWS, Docker, ECS, Ansible, Terraform, Jenkins, scripting languages, and networking and security technologies.

Configure and support Workday across HCM, Recruiting, Compensation, Payroll, and Benefits. Partner with product owners and HR stakeholders to translate business needs into solutions, improve processes, test new capabilities, troubleshoot production issues, document implementations, and maintain calculated fields, custom reports, security, and integrations. Research Workday updates and promote automation, technical excellence, and operational efficiency.

Design, build, and maintain internal front-end trading tools, dashboards, and supporting APIs. Partner with traders, Risk, and Technology to gather requirements, improve performance, reliability, and scalability, and provide production support for real-time, high-throughput trading systems.

As a Senior z/OS Platform Engineer, you will enhance mainframe software systems, support infrastructure tasks, and mentor team members.

Designs and operates ServiceNow platform services and developer productivity tooling. Builds reusable CI/CD modules, automates provisioning and compliance, hardens pipelines with security controls, improves observability, and leads migrations/upgrades and incident response. Documents standards and runbooks, mentors engineers, and supports critical escalations to shorten delivery lead time and improve reliability.

Provide 3rd-level support and engineering for end-user compute and mobile devices. Design and document setup, installation, patching, and support processes. Test and deploy Intune/Autopilot/Azure Virtual Desktop solutions, troubleshoot endpoint management issues, collaborate with architecture and support teams, and manage supplier performance to meet service targets.

Lead full-cycle development of API and web applications, from architecture and design through deployment and support. Collaborate with product, design, and engineering teams to set technical direction, deliver secure and scalable solutions, improve developer productivity, and support Agile delivery. Responsibilities include code reviews, troubleshooting, documentation, observability, automation, quality measurement, and responsible use of AI-assisted development tools.

Designs and supports secure, compliant Azure and GCP DevOps platforms, including CI/CD pipelines, Kubernetes environments, GitOps workflows, and JFrog tooling. Owns software supply chain security, artifact governance, vulnerability management, feature flagging, automation, developer self-service, and platform reliability. Provides L3 support, incident response, documentation, compliance controls, and on-call coverage while enabling enterprise-scale software delivery.

Design and build scalable services, APIs, and data models for content and catalog systems. Lead system and low-level design, drive end-to-end delivery, collaborate with product and architecture teams, improve CI/CD and observability, mentor engineers, and safely integrate AI/ML into content workflows.

Architects, deploys, and operates CrowdStrike’s data platform infrastructure and services. Responsibilities include administering Airflow and Superset, managing Terraform infrastructure, building CI/CD pipelines, implementing security and access controls, developing DBT data models, cataloging assets in OpenMetadata, writing Python automation, and mentoring engineers. The role requires cloud, container orchestration, SQL, data modeling, compliance, and AI technology expertise, along with eligibility for CJIS clearance.

The engineer will build and operate AI/ML infrastructure, managing services on AWS and bare metal, using tools like Kubernetes and Terraform.

Lead software engineering teams and technology projects involving distributed microservices, full-stack systems, and server-driven UI platforms. Collaborate with product managers to deliver cloud-based solutions, support regulatory needs, mentor engineers, and evaluate emerging technologies. Build solutions using multiple programming languages, open-source databases and frameworks, container orchestration, and AWS services.

Volunteer senior developer to design, build, and maintain a cross-platform medical scheduling app (web, iOS, Android). Participate across the full development lifecycle: design, coding, testing, CI, deployments, code reviews, production support, incident management, and platform architecture. Attend weekly standups and commit at least four hours per week.

Designs and owns shared test automation frameworks and scalable test execution infrastructure across web, mobile, and backend services. Builds tooling for test environments, test data, parallel execution, flaky-test detection, and infrastructure monitoring. Partners with engineering teams to improve test coverage and quality practices, reduces feedback-loop friction, and documents testing best practices. The role requires strong automation architecture, cloud-native infrastructure, cross-stack testing, and collaborative influence.

Design, develop, and maintain secure Microsoft Power Platform solutions for federal and DoD customers. Build Canvas and Model-Driven Power Apps, Power Automate workflows, Dataverse data models, Power BI reports, integrations, and automated deployments. Support ALM, ETL, troubleshooting, documentation, security, and performance. Gather requirements and collaborate with technical and program stakeholders while following federal security and configuration-management practices.

Leads end-to-end development of Microsoft Power Platform solutions in regulated federal environments. Designs Power Apps, Power Automate workflows, Power BI models, Dataverse architectures, security roles, integrations, and RPA solutions. Partners with federal stakeholders to gather requirements, present technical solutions, and document system architectures. The role requires Power Platform experience in GCC High, IL5, GovCloud, or comparable environments, plus eligibility for a Secret clearance.

Provide technical leadership for foundational platform services: architect, build, and operate distributed cloud-native systems; drive cross-team architecture and standards; mentor engineers; lead incident responses; introduce AI-assisted engineering practices to improve productivity, reliability, and developer experience.

Design, implement, optimize, and maintain scalable hybrid multi-cloud Kubernetes platforms operating at massive scale. Integrate open-source technologies, improve platform reliability, provide technical direction, mentor engineers, and participate in on-call support. The role requires expertise managing large Kubernetes clusters, observability tools, Linux environments, public clouds, custom data centers, and AI-enabled workflow improvements.

Design, administer, optimize, and govern an enterprise Databricks Lakehouse Platform. Responsibilities include managing workspaces, Unity Catalog, compute, workflows, data pipelines, security controls, observability, performance, cost optimization, CI/CD, infrastructure automation, disaster recovery, and platform upgrades. The role also supports audits, compliance, troubleshooting, documentation, technical standards, and mentorship while integrating Databricks with enterprise data, business intelligence, and AI/ML environments.

Build and lead a greenfield cloud platform supporting application, data, and AI workloads. Responsibilities include managing Terraform infrastructure, production EKS clusters, Helm deployments, CI/CD pipelines, security controls, observability, cloud cost allocation, and developer golden paths. The role establishes engineering standards, supports regulated-data compliance, partners across engineering teams, reviews infrastructure changes, mentors engineers, and writes production code while ensuring reliable, secure, and cost-effective service delivery.

Build and maintain cloud-native production platforms, automate infrastructure and deployment environments, and bridge application development with production teams. Responsibilities include validating implementations, independently solving technical problems, developing small components, estimating work, debugging systems, and promoting DevOps, DevSecOps, CI/CD, infrastructure-as-code, containerization, and security best practices. The role requires Kubernetes and cloud experience, programming and shell scripting knowledge, YAML proficiency, cross-functional collaboration, and U.S. citizenship.

Design, build, and run cloud-based automated test frameworks and scripts for React/Node applications. Configure CI/CD pipelines, test environments, and data sets; validate APIs and containerized apps; collaborate with manual testers and development teams using Agile/DevSecOps practices.

Develop and maintain Microsoft Power Platform solutions for CDC mission programs. Responsibilities include designing solution architectures and data models, building Power Apps and Power Automate workflows, configuring Dataverse, modernizing legacy applications, integrating APIs and Azure services, reviewing technical solutions, supporting Agile delivery and testing, troubleshooting defects, documenting deployments, and maintaining production systems. The role also ensures federal security, privacy, governance, and Section 508 accessibility compliance.

Design, build, deploy, and operate Node.js and TypeScript backend services supporting account onboarding, identity verification, agreements, and funding. Own event-driven workflows, asynchronous processing, job orchestration, integrations, reliability, monitoring, and operational tooling. Develop scalable services on Google Cloud Platform and Kubernetes, support expansion into new markets, coordinate technical direction, and mentor engineers. Ensure correctness through idempotency, retries, reconciliation, and resilient handling of partial failures.