Top Platform Engineer Jobs in Chicago, IL

Lead platform engineering role focused on building and supporting DevOps tools and scalable technology solutions. Responsibilities include collaborating with product owners and technology partners, designing and testing solutions, integrating support frameworks, automating deployments, and ensuring availability, resilience, and scalability. The role uses Python, SQL, Docker, Amazon ECS, AWS, and build and deployment tools while mentoring engineers and promoting innovation.

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.

Build and evolve SailPoint’s AWS-based internal migration platform through hands-on full-stack development, cloud infrastructure, AI agents, APIs, testing, CI/CD, observability, and security. The role uses Angular, FastAPI, Python, AWS CDK, and numerous AWS services. Responsibilities include architectural contributions, mentoring engineers, troubleshooting, stakeholder collaboration, and improving automation, reliability, developer productivity, and customer migration outcomes.

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.

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.

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.

Leads platform engineering and infrastructure reliability across on-premises and cloud environments. Responsibilities include Linux systems administration, infrastructure as code, CI/CD, monitoring, alerting, logging, automation, security hardening, access integration, and production support. Develops Python and shell scripts, manages containerized and virtual environments, mentors engineers, supports research and administrative applications, documents technical practices, and participates in an off-hours on-call rotation.

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.

Build and maintain scalable internal platforms for automated infrastructure provisioning and application deployments. Develop Infrastructure as Code with Terraform and AWS CloudFormation, create Python and shell-based automation, integrate CI/CD workflows, and implement security guardrails and policy-as-code. Partner with application teams, monitor platform reliability, document best practices, and improve scalability and developer experience. Participate in platform releases, testing, change management, documentation, and training.

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.

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.

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

Develops and implements Microsoft Power Platform solutions across discovery, design, development, testing, deployment, training, and support. Builds Canvas and Model-driven Power Apps, automates processes with Power Automate and UiPath, integrates data, designs Dataverse models, and supports SharePoint and Dynamics solutions. Serves as a Power Platform subject matter expert, collaborates with clients and project teams, creates technical documentation, manages governance standards, and resolves production issues.

Design, build, and manage highly available GCP platform infrastructure, including GKE, networking, storage, compute, containerization, monitoring, security, and Infrastructure as Code. Automate provisioning and CI/CD, optimize platform performance and costs, document procedures, troubleshoot issues, and mentor junior engineers. Collaborate with development, operations, and security teams to maintain scalable, secure, and compliant cloud environments.

Design, implement, automate, and operate enterprise AWS cloud infrastructure for analytics and data engineering workloads. Build Databricks platforms, Infrastructure-as-Code modules, CI/CD pipelines, secure cloud environments, observability frameworks, and multi-account governance strategies. Optimize reliability, scalability, performance, and cost while guiding engineering teams, leading architecture decisions, and advising clients on cloud and DevOps best practices.

Develop accessible, supportable Power Platform applications and automations for a federal customer. Build Canvas and model-driven Power Apps, Power Automate flows, and Dataverse or SharePoint components. Implement validation, role-based access, error handling, auditability, notifications, integrations, and ALM practices. Participate in testing, peer reviews, release promotion, production readiness, documentation, and user support while collaborating with clients and technical teams.

As a Forward Deployed Engineer, you will develop AI agents and automation workflows, collaborate with teams, and ensure secure, reliable solutions integrating with various systems.

Develop and maintain Microsoft Power Platform solutions using Power Apps, Power Automate, Power Pages, Dataverse, Power BI, and relational databases. Translate business requirements into scalable technical designs, integrate Microsoft and Azure services, implement security and governance controls, support compliance and audits, and provide mentorship and knowledge transfer. Evaluate emerging capabilities such as Copilot Studio while collaborating with stakeholders, architects, project managers, and developers.

Lead end-to-end Microsoft Power Platform implementations including discovery, design, build, test, and deployment. Develop low-code solutions (Model-driven and Canvas apps), automate processes with Power Automate, create data visualizations, integrate data, maintain coding standards, produce design documentation, support production issues, and act as a Power Platform SME advising on architecture, security, and CoE governance while participating in Agile ceremonies.

Build and improve platform services, cloud infrastructure, CI/CD pipelines, monitoring, and developer tooling. The role involves writing and reviewing code, supporting deployments, improving scalability and reliability, participating in incident response, and collaborating with engineering teams. The engineer will use technologies such as AWS, Kubernetes, Docker, Terraform, Python, RabbitMQ, PostgreSQL, and Datadog while developing ownership of increasingly larger platform areas.

Build and improve AWS cloud infrastructure, CI/CD pipelines, Terraform-managed environments, and containerized applications on ECS Fargate. Lead architecture and deployment reviews, automate reliable application delivery, troubleshoot incidents, perform root cause analysis, and implement monitoring, logging, security, and compliance controls. Collaborate with application, IT, business, and vendor teams while modernizing legacy applications and developing platform engineering capabilities.

Build, secure, and operate an Azure Government AI platform supporting Azure AI Foundry and approved generative AI models. Configure AI projects, deployments, networking, identities, monitoring, cost controls, and integrations. Automate repeatable infrastructure and release processes, troubleshoot across cloud layers, and create operational documentation. The role requires strong Azure engineering, AI platform, security, networking, monitoring, and scripting experience, with responsibility for reliable developer experiences and governed AI usage.