Top Remote Platform Engineer Jobs in Chicago, IL

Lead the architecture, deployment, configuration, and sustainment of an Azure and Kubernetes-based Software Factory for the US Space Force. Manage DevSecOps tools, IaC and CI/CD pipelines, Linux infrastructure, security requirements, monitoring, patching, upgrades, and vulnerability remediation. Provide technical leadership, coach DevSecOps and application teams, onboard users, establish platform standards, and advance secure software delivery practices. Travel is required up to 25%.

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.

Owns the Databricks platform across environments, including administration, architecture, identity and access, Unity Catalog, networking, security, governance, cost controls, automation, and CI/CD. Advises technical and business teams on scalable platform design, evaluates emerging Databricks capabilities, and partners with infrastructure and security teams. The role requires production Databricks expertise, Terraform proficiency, cloud networking knowledge, strong communication, and architectural judgment.

Leads the design, development, governance, and enterprise adoption of secure Generative AI platforms and applications. Responsibilities include architecting RAG and agent-based solutions, developing APIs and reusable frameworks, establishing evaluation and prompt engineering standards, ensuring security and responsible AI practices, mentoring engineers, influencing architecture, and driving technical strategy across teams.

Own and operate the production threat intelligence platform, maintaining system health, monitoring jobs, and ensuring data quality. Build intelligence-feed integrations, enrichment, tagging, and lifecycle workflows. Deliver intelligence to detections, blocklists, warehouses, and agent workflows. Partner with Security and Product stakeholders to translate requirements into technical capabilities, troubleshoot production issues, and implement durable fixes. Develop production-quality software using Python, Go, or Storm with CI/CD ownership, while responsibly applying generative AI.

Designs, operates, secures, and improves enterprise OpenShift and Kubernetes platforms across hybrid-cloud environments. Responsibilities include cluster lifecycle management, automation, troubleshooting, observability, resiliency, security controls, disaster recovery, developer self-service, incident response, documentation, and technical leadership. The engineer independently leads complex platform initiatives, collaborates across infrastructure and security teams, mentors engineers, and participates in on-call support.

Design and build a durable data storage platform that preserves source disagreements, provenance, uncertainty, historical versions, and evidence. Develop result and evidence stores, lineage tracking, versioned rules and configurations, reproducible decision records, and point-in-time entity views. Collaborate with entity-resolution and machine-learning teams to support probabilistic outputs. The role requires production data engineering experience, strong Python and SQL, PostgreSQL expertise, U.S. citizenship, and an active Secret clearance.

Lead the technical vision and architectural evolution of Huntress’s Core Platform. Build complex Ruby on Rails features, solve scaling challenges, manage cross-team dependencies, drive architectural decisions, and oversee system lifecycle and technical risk. Mentor engineers, establish engineering excellence, collaborate with managers and product leaders, and help teams adopt AI coding tools responsibly.

Design, build, deploy, and maintain resilient, scalable backend services and platform components for Toast's Voice AI platform. Lead cross-cutting architecture and projects, integrate AI platforms (LLMs), implement observability and evaluation for AI systems, set engineering standards, and mentor engineers.

Administer and develop SharePoint and Power Platform solutions, including sites, forms, workflows, apps, reports, dashboards, migrations, and automations. Gather requirements, design and test solutions, troubleshoot issues, maintain documentation, provide technical support and user training, and communicate directly with clients. The role requires adherence to governance standards, independent testing, and delivery of customer-focused solutions.

Define and advance secure, scalable AWS cloud platform capabilities; modernize legacy infrastructure; establish reliability practices, observability, SLOs, incident response, and deployment standards; improve developer experience through automation and self-service tooling; and mentor engineers while influencing architecture and platform strategy.

Develop and deliver Power Apps, Power Automate, Power BI, data visualization, and Microsoft 365 solutions for an Army customer. Engage customers to define requirements, manage expectations, document technical solutions, conduct user acceptance testing, create training resources, and provide project status updates. Build model-driven and canvas applications, automate business processes, support data modeling and visualization, and maintain integrations across the Power Platform ecosystem.

Architects, deploys, and operates scalable data platform infrastructure supporting analytics. Responsibilities include administering Airflow and Superset, managing Terraform infrastructure, building CI/CD pipelines, enforcing security and compliance, developing DBT data models, cataloging assets in OpenMetadata, writing Python automation, and mentoring engineers. The role requires extensive infrastructure and data engineering experience across cloud platforms, containers, data security, and workflow orchestration.

Build and maintain production data ingestion, transformation, and pipeline systems for a governed federal data and AI platform. Develop data products, contribute to Terraform infrastructure and CI/CD, monitor quality and reliability, troubleshoot issues, and apply governance and access controls. Support data science and ML teams while operating within FedRAMP, NIST 800-171, and CUI requirements. Collaborate with engineers and document pipelines and processes.

Lead modernization discovery and execution for a large-scale Amazon EKS platform. Establish estate baselines, analyze failure domains and capacity, design multi-cluster architecture, automate upgrades, optimize compute costs, and migrate workloads to ARM64 Graviton. Lead a customer-facing technical pod, implement Karpenter and platform improvements, reduce operational toil, develop cost and capacity models, and communicate recommendations to engineering leadership.

Provide technical direction for GitLab Dedicated, a managed single-tenant SaaS platform. Lead architecture and transformation across resilience, failover, tenant orchestration, change management, automation, and platform integrations. Identify systemic reliability and scalability risks, establish reusable platform patterns, strengthen service ownership, and guide cross-team technical decisions. Mentor senior engineers and advance engineering excellence across the organization.

Build and operate Helius’s bare-metal infrastructure platform. Responsibilities include automating server provisioning and lifecycle management, developing fleet tooling, standardizing CI/CD and deployment processes, implementing security controls, analyzing infrastructure costs, improving observability, participating in on-call response, and documenting operational procedures.

Design, build, and improve scalable backend systems that collect hard-to-access OSINT; build pipelines and ETL for messy data; collaborate with product and mission teams; mentor engineers and ensure reliable data delivery for DoD workflows.

Designs, develops, tests, and implements Microsoft Power Platform solutions for clients. Builds Power Apps using Dataverse, Power Automate, SharePoint, Excel, and Forms; creates Power BI analytics with Power Query and DAX; designs data models; integrates systems; modernizes legacy applications; troubleshoots and optimizes solutions; and communicates requirements, designs, progress, and documentation to clients and project teams.

Build and integrate a unified analytics platform across heterogeneous applications and data environments. Responsibilities include designing APIs, event streams, data contracts, shared platform services, ETL/ELT pipelines, presentation layers, cloud infrastructure, and infrastructure-as-code. The role partners with distributed data teams, evaluates consolidation and federation strategies, supports deployment reliability, and communicates technical tradeoffs through architecture documents and business cases.

Develop and strengthen a business-critical Windows platform spanning Active Directory, DNS, Kerberos, identity integration, golden images, patching, observability, PowerShell automation, infrastructure as code, PKI, cloud infrastructure, security, and disaster recovery. The role focuses on platform resiliency, recovery testing, migration from NTLM to Kerberos, Windows file services, certificate services, and automated infrastructure management in a hybrid environment.

Lead the creation of EasyLlama’s Platform Engineering function and technical roadmap. Build and operate scalable Ruby on Rails services, Kubernetes and AWS infrastructure, CI/CD pipelines, developer tooling, AI and LLM infrastructure, billing systems, enterprise integrations, and observability platforms. Drive security, reliability, scalability, and architectural decisions across engineering teams while mentoring engineers and resolving complex production issues.

Lead the design and operation of AWS and Kubernetes platforms, infrastructure automation, CI/CD, observability, security, and developer self-service capabilities. Drive cross-team platform initiatives, establish technical standards, improve reliability and operational practices, participate in incident response, mentor engineers, and guide architecture for regional and ephemeral environments.

Lead design, build, and deploy of large-scale data platforms for LLMs, RAG, and agentic AI systems. Hands-on coding, architecting fault-tolerant pipelines, establishing MLOps/DataOps best practices, mentoring engineers, and operationalizing research into production across Exabyte-scale distributed systems.

Build reusable backend platforms and developer-facing tooling for performance testing, analysis, reporting, and AI-assisted engineering workflows. Enable service teams to independently incorporate performance testing into development and CI workflows through self-service capabilities, documentation, templates, diagnostics, and guidance. Partner with engineering teams, influence adoption, generalize solutions, and provide expertise on complex performance challenges.