Top Remote Platform Engineer Jobs in Chicago, IL

Develop and implement Microsoft Dynamics 365 and Power Platform case management solutions. Responsibilities include gathering requirements, designing architectures and integrations, developing customizations, supporting data migration, testing and deployment, creating technical documentation and prototypes, conducting client demonstrations, and mitigating technical risks. The role involves close collaboration with clients, architects, business analysts, and project leads, with travel to customer locations as needed.

Develop and implement enterprise Microsoft Dynamics 365 and Power Platform case management solutions. Responsibilities include gathering requirements, designing architectures, developing integrations and customizations, supporting data migration, testing and deployment, creating technical documentation, mitigating risks, and delivering client demonstrations. The role requires collaboration with clients, architects, project leads, and business analysts, as well as occasional travel to customer locations.

Design, develop, customize, integrate, test, and deploy Microsoft Dynamics 365 and Power Platform case management solutions. Gather technical requirements, create architectures and implementation plans, support data migration and custom code, conduct client demonstrations, document risks, and improve development and release processes. Collaborate with clients, architects, project leads, and business analysts while traveling to customer locations as needed.

Design, develop, and deploy Microsoft Dynamics 365 and Power Platform case management solutions. Responsibilities include requirements gathering, architecture, CRM customization, integrations, data migration, testing, technical documentation, client demonstrations, risk mitigation, and improving development and release processes.

Develop and implement enterprise Microsoft Dynamics 365 and Power Platform case management solutions. Responsibilities include gathering requirements, designing architectures, building integrations and customizations, managing data migration, testing and deployment, creating technical documentation, mitigating risks, and presenting solutions to clients. The role collaborates with project leads, architects, business analysts, and customers, with travel to customer locations as needed.

Lead the architecture and development of Vercel’s next-generation data platform, supporting batch and real-time integrations, analytics, data warehousing, and AI/ML workloads. Design scalable systems using Kafka, ClickHouse, Tinybird, and Snowflake; establish data governance and security standards; guide architectural decisions and roadmaps; collaborate with engineering, product, security, compliance, and leadership teams; write production code; and mentor engineers.

Lead the design, operation, and scaling of AWS cloud infrastructure and Kubernetes production environments for a fintech platform. Build infrastructure-as-code, CI/CD pipelines, observability, and deployment tooling while improving reliability, security, performance, and resilience. Partner on PostgreSQL administration, scaling, backups, and performance tuning. Participate in incident response, root-cause analysis, and operational standards development for sensitive financial workloads.

Own and evolve the data infrastructure powering identity and fraud products. Build and operate scalable ETL/ELT pipelines, ensure data quality and observability, optimize storage and access, support product squads, respond to production incidents, mentor engineers, and drive data platform innovation.

Design, build, operate, and scale GitLab Orbit backend services in Rust across distributed cloud-native environments. Improve Kubernetes deployments, infrastructure automation, observability, reliability, incident readiness, multi-tenant isolation, data workflows, graph query capabilities, indexing pipelines, cloud storage integrations, and API/MCP surfaces. Own technical designs through rollout while collaborating asynchronously with infrastructure, security, AI, data, delivery, and SRE teams.

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 improve machine learning systems for ad ranking, relevance, personalization, and optimization. Responsibilities include feature pipelines, model training and evaluation, active learning, LLM-assisted labeling and synthetic data generation, experimentation, and low-latency production inference. The role partners with product, data, and platform teams to improve advertiser performance and user engagement while maintaining reliability, latency, and data quality.

The Technical Engineer will manage system administration of the Starburst platform, collaborate on solutions across teams, and ensure efficient operational support.

Designs, builds, automates, and manages secure, scalable cloud platforms. Responsibilities include developing platform services, APIs, self-service capabilities, CI/CD pipelines, IAM solutions, infrastructure automation, observability, and security controls. The role supports reliability, incident management, troubleshooting, modernization, documentation, and collaboration across development, security, architecture, and operations teams.

Leads UX strategy and design for an API developer platform, including APIs, documentation, SDKs, portals, and AI tools. Partners with Product and Engineering to shape API contracts, conduct developer research, prototype workflows, establish scalable design standards, and optimize the journey from discovery through successful API use, debugging, and monitoring. Influences senior stakeholders, tracks developer experience metrics, and mentors designers.

Build, administer, and optimize enterprise Databricks data platforms in Azure. Responsibilities include platform operations, Terraform-based infrastructure automation, data ingestion enablement, governance through Unity Catalog, access controls, monitoring, troubleshooting, incident response, and reliability improvements. The role partners with data engineers, architects, analysts, infrastructure, and security teams to support scalable production analytics and data workloads.

Own and evolve a secure, cloud-native internal developer platform for a federal health mission. Responsibilities include Terraform and GitOps foundations, multi-tenant Kubernetes on AWS GovCloud, self-service onboarding, MLOps/AIOps, data lakehouse enablement, observability, security automation, compliance artifacts, documentation, and stakeholder partnership. The role requires senior ownership of production platforms and offers opportunities for technical leadership.

Own and improve Snowflake platform operations across development, test, and production environments. Responsibilities include security and access governance, reliability engineering, monitoring, incident response, recovery procedures, consumption and cost optimization, change management, automated testing, and controlled releases. The role partners with Data Engineering, Security, Identity, AWS, and commercial technology teams while documenting processes and building reusable automation.

Build and operate Kraken’s internal AI platform, including governed integrations, authentication, identity controls, spend management, provisioning, evaluation tooling, and model lifecycle administration. Develop reusable agent and prompt infrastructure, integrate LLM and SaaS APIs, maintain runbooks, support enterprise users, and lead technical enablement. The role also implements data-handling and retention controls, manages vendors, and improves reliability, automation, documentation, and regulatory readiness across the AI estate.

Supports development of Microsoft Power Platform solutions, including Power Apps applications, Power Automate workflows, Power BI dashboards, and SharePoint integrations. Collaborates with stakeholders to automate business processes, manage and validate data, test and deploy solutions, document functionality, and provide customer support. Works with Microsoft 365, Dataverse, Excel, SQL databases, and Agile project teams.

Build and scale backend security platform services, including authentication, authorization, identity infrastructure, permission systems, and data models. Lead cross-team technical initiatives, standardize security solutions, collaborate with compliance and mission stakeholders, and influence architecture and engineering standards. The role requires strong system design, backend development, security expertise, technical leadership, and the ability to operate in sensitive environments.

Build and operate cloud-native platform infrastructure enabling AI agents in healthcare: safe CI/CD for agent capabilities, agent-focused observability, scalable infrastructure, automation, runbooks, and incident response.

Design, secure, and scale GCP cloud infrastructure supporting event-driven services, AI models, and automated releases. Maintain infrastructure as code and CI/CD automation, manage access controls and encryption, remediate penetration-test and vulnerability findings, and own monitoring, dashboards, on-call response, incident management, and performance improvements.

Leads the roadmap, architecture, security, and organizational adoption of CI/CD and release infrastructure. Designs scalable release gates, hardens supply chains, directs engineers through complex projects, manages severe incidents, and drives cross-functional technical alignment. The role remains hands-on through code reviews, prototyping, debugging, documentation, mentorship, and design reviews while primarily achieving impact through team leadership.

Lead GitLab’s company-wide strategy for autonomous, agentic software development workflows. Identify and validate AI opportunities across the SDLC, build prototypes and reference architectures, establish evaluation frameworks and safety controls, and drive internal adoption. Partner across Engineering, Product, Infrastructure, Security, Architecture, and Data and ML teams to scale reliable, observable, compliant agentic capabilities into customer-facing products. Mentor senior technical leaders and represent GitLab externally on AI-assisted development and productivity measurement.

Designs and develops foundational Azure compute platform technologies. Leads architecture and design for complex systems, writes secure and performant production code, establishes test strategies, performs code reviews, debugs system issues, and drives cross-team technical alignment. The role also applies AI-enabled engineering practices, improves engineering quality, and supports security hardening across cloud infrastructure solutions.