Top Remote Platform Engineer Jobs in Chicago, IL

Deliver, automate, and sustain Keeper platform deployments across IL5/IL6 and classified U.S. Government environments. Build CI/CD pipelines, automate infrastructure (IaC), maintain hardened configurations, support releases and incident response, and produce audit evidence. Troubleshoot production issues, implement observability, partner with engineering and security teams, and ensure compliance with federal security frameworks.

Senior technical lead responsible for translating platform architecture into consistent engineering execution across Platform Engineering, DevOps, SRE, QA, security, and IAM. Provides hands-on implementation guidance, removes technical blockers, improves execution visibility, mentors engineers, and serves as Technical Delivery Lead for platform initiatives to ensure architectural continuity and reusable platform capabilities.

Own and maintain the WordPress platform end-to-end: hosting, security, performance, technical SEO, tracking (GA4/GTM), integrations (HubSpot/APIs), backups, and documentation. Establish environments, deployment workflows, monitoring, and runbooks while partnering with front-end and marketing teams to ensure reliable, high-performing, and compliant site operations.

Design, build, and operate scalable, secure data platform infrastructure for ingesting, processing, cataloging, and accessing petabytes of data. Improve Spark/Databricks reliability and developer experience, build ingestion/replication systems, develop internal libraries and tooling (Go/Python), and collaborate with cross-functional teams to support analytics, ML, and customer-facing data products.

Lead Salesforce and billing platform engineering with an emphasis on AI-driven automation. Build scalable Salesforce solutions (Apex, Flow, LWC), pilot LLM/agent workflows, modernize CI/CD and test automation, support Quote-to-Cash and billing processes, collaborate across product and finance, drive technical debt reduction, and mentor junior engineers.

Design, build, and operate ML infrastructure for training, evaluation, deployment, and inference. Improve reliability, scalability, latency, throughput, and cost. Create pipelines, observability, benchmarking, and tooling to enable fast experimentation and productionization of models while diagnosing regressions and bottlenecks.

As an Agentic Platform Engineer, you will design and manage core platform services and tools for high-scale distributed systems, focusing on Kafka and AWS environments, while delivering automated workflows across OnePay's products.

Own and implement platform initiatives to improve scalability, reliability, and developer experience. Automate infrastructure with IaC, operate Kubernetes and CI/CD pipelines, build developer tools, monitor platform resilience, participate in incident response, and influence architecture and processes as you grow.

Lead design and delivery of a reliability platform for production systems. Own quarterly goals, guide engineers through ambiguity, collaborate with PM/design/analytics, monitor and operate services (on-call), set quality and code standards, and mentor teammates. Integrate AI/LLM tooling to improve automation, debugging, and service health.

Lead endpoint and IT operations across global offices and remote field sites: design zero-touch provisioning, manage Jamf/Intune policies, build fleet monitoring, own software procurement and license optimization, administer Okta and Google Workspace, automate onboarding/offboarding, supervise IT support staff, and collaborate with security, infrastructure, legal, and finance to run reliable, compliant IT for distributed exploration teams.

Design, build, and operate a next-generation CDP/messaging platform at scale. Define infra topology, scaling, blast-radius limits, and safety guardrails for AI agents. Own reliability, capacity, cost, security boundaries, incident leadership, and author self-verifying runbooks and checks so automation can operate safely.

Build and maintain cloud-native platform infrastructure and Kubernetes clusters, develop IaC and CI/CD pipelines, support IAM and monitoring, manage certificates and container security, participate in on-call incident response, and document runbooks and standards while mentoring junior engineers.

Build, maintain, and secure cloud-native platform infrastructure: manage Kubernetes clusters, IaC, CI/CD pipelines, IAM, monitoring, certificate lifecycle, and incident response. Support ATO/C-ATO processes, mentor juniors, write runbooks/ADRs, participate in on-call rotations, and collaborate with application teams to ensure reliable, scalable, and compliant platform operations.

Build, maintain, and secure cloud-native platform infrastructure and Kubernetes clusters. Implement IaC, CI/CD (GitLab CI and runners), containerization, monitoring, IAM support, certificate lifecycle automation, and platform security practices. Troubleshoot deployments, participate in on-call rotation, produce documentation/runbooks/ADRs, and mentor junior engineers while contributing to platform strategy and ATO-related activities.

Build, maintain, and improve cloud-based Kubernetes platform environments using IaC and CI/CD. Manage deployments, identity/access, monitoring, certificate lifecycle, container security, and support ATO processes. Troubleshoot platform integration, participate on-call rotations, write operational docs/runbooks/ADRs, and mentor junior engineers.

Design, build, and operate the core data warehouse, ingestion, orchestration, and cataloging platform. Develop batch and streaming pipelines, ensure data quality, governance, observability, and provide ML data platform capabilities. Lead architecture, improve platform reliability and performance, and collaborate with product, engineering, data science, security, and compliance teams.

Design, build, and maintain scalable AWS infrastructure using IaC. Improve CI/CD pipelines, implement monitoring and observability, automate routine infrastructure tasks, manage cross-account AWS environments, and advise engineering teams on best practices to ensure reliability, security, and performance.

Build, operate, and extend data platform and application-layer services enabling secure, self-service data applications at scale. Implement provisioning, CI/CD, access control, integrations, observability, automation, and incident response while contributing to semantic layer and AI-ready tooling roadmaps.

Design, build, deploy, and maintain scalable, resilient backend services for a Voice AI platform. Lead cross-cutting projects, make architectural decisions, integrate AI platforms, implement observability and evaluation frameworks, and mentor engineers.

The Staff Platform Engineer will lead the design and operation of ad-serving platforms, ensure reliability, and mentor teams while implementing automation and observability practices.

Design, build, and maintain Salesforce applications and integrations to support institutional sales, billing, and compliance. Own end-to-end feature delivery, collaborate with product and business stakeholders, ensure engineering quality through reviews and documentation, mentor junior engineers, and support operations via on-call rotations and incident triage.

Design and build tooling, workflows, and guidance to make GitLab easier to deploy, validate, and operate across cloud-native, self-managed, and ephemeral environments. Shape deployment architecture, topology, scaling principles, and platform contracts while collaborating with application, infrastructure, and delivery teams.

Build and maintain agentic workflow components and the platform requirements knowledge base to ensure features ship across GitLabs deployment targets. Implement integration surfaces (issues, MRs, design docs, CI/CD), collaborate with platform teams to translate expertise into structured requirements, and write tests, documentation, and evaluations for agentic-workflow behavior and assessment accuracy.

The role involves architecting scalable backend systems for real-time evaluations, integrating with streaming data, and building intervention layers for AI applications. You'll design frameworks and operationalize vector databases while ensuring low-latency service performance.

Design, build, and support Dynamics 365 CRM and Power Platform solutions including Dataverse, Power Pages, Power Automate, integrations with Business Central and external systems. Develop custom extensibility (C#/.NET plugins, JavaScript, PCF), implement portal UX/security, enable ALM and deployment practices, troubleshoot production issues, and collaborate with stakeholders to deliver maintainable, scalable customer-facing applications.