Top Remote Platform Engineer Jobs in Chicago, IL

Build and operate production AI agents, agentic workflows, MCP servers, and CX applications. Develop Python and TypeScript services, AWS infrastructure, integrations, testing, observability, security controls, and CI/CD pipelines. Partner with Customer Success and other CX teams to prototype solutions, translate workflows into technical plans, and deliver reusable platforms. Mentor engineers and non-engineers, document systems, establish governance, and support reliable handoff and shared ownership.

Own cloud infrastructure, EKS, AWS systems, CI/CD pipelines, preview environments, observability, security, and compliance. Build developer tooling and internal applications, while leading AI adoption across Engineering through agent workflows and custom solutions. Support product analytics and data science pipelines, collaborate closely with internal stakeholders, and maintain platform reliability end to end.

Leads DevOps and platform engineering initiatives by designing CI/CD pipelines, automating cloud infrastructure, supporting Kubernetes deployments, integrating security and observability controls, and improving developer productivity. Partners across engineering, security, SRE, and architecture teams to establish standardized delivery practices, self-service platforms, engineering metrics, and scalable cloud-native solutions. Mentors engineers and drives technical standards across multiple teams.

Own and scale a multi-cloud data platform across AWS and Azure. Manage Apache Airflow, Kubernetes, Terraform, Helm, ArgoCD, CI/CD, observability, big data infrastructure, governance tooling, and FinOps initiatives. Provide end-to-end architectural and operational ownership, improve developer tooling, define platform roadmaps, manage incidents, enforce engineering standards, and mentor data platform engineers.

Designs, implements, administers, and supports enterprise cloud platforms, integrations, databases, middleware, and application services. The role develops secure, scalable architectures; automates deployments and administration; supports Oracle Cloud and related technologies; resolves complex platform and integration issues; and leads technical improvements. It also provides architecture guidance, customer consultation, requirements analysis, technical reviews, coaching, and training across the organization.

Build and launch scalable fullstack web applications and APIs for Affirm’s Ads Platform. Collaborate with product, design, analytics, and engineering partners to break projects into deliverable phases, make technical trade-offs, write tested and extensible code, monitor service metrics, support on-call operations, review code, and participate in team development and interviews.

Build evaluation infrastructure, observability tooling, diagnostic systems, datasets, annotation workflows, and experiments for production AI agents. Lead a hands-on AI Quality engineering team, improve agent quality, latency, and cost, and partner with AI Core engineering. The role requires developing evaluation pipelines, scorers, dashboards, CI/CD systems, and model-testing frameworks while managing team priorities and technical direction.

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.

Designs, implements, and supports secure Azure and GCP DevOps platforms, CI/CD pipelines, Kubernetes environments, GitOps workflows, and developer self-service capabilities. Owns enterprise tools including JFrog, Argo CD, SonarQube, LaunchDarkly, GitHub, and runners. Leads software supply chain security, vulnerability remediation, compliance, automation, platform modernization, incident response, and L3 support while partnering with cybersecurity teams.

Build and own Arcadia’s internal developer platform across a large-scale data lakehouse and Kubernetes applications. Develop self-service APIs, templates, golden paths, CI/CD capabilities, observability, security controls, and reliability practices. Lead platform migrations, improve developer experience, manage stakeholder needs and costs, set technical direction, and coach senior engineers. The role requires hands-on software development alongside expertise in cloud infrastructure, Kubernetes, networking, infrastructure as code, SLOs, incident response, and platform product management.

Build, monitor, and scale resilient cloud infrastructure across multi-region and multi-cloud environments. Develop Kubernetes controllers and infrastructure tools using Go, Python, Ruby, and Terraform; maintain Datadog observability; diagnose complex production performance and reliability issues; automate failover and capacity management; and collaborate with engineering teams on architecture and infrastructure improvements.

Lead full-stack development for Huntress’s SOC platform, building analyst-facing investigation, triage, remediation, queueing, and customer reporting experiences. Shape architecture, data models, interfaces, security practices, reliability, observability, and testing while mentoring engineers and partnering with Product, UX, and SOC stakeholders. The role emphasizes Ruby on Rails, modern frontend development, cloud infrastructure, relational databases, and technical leadership across complex cybersecurity software products.

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.

Lead development of scalable search-platform software focused on product-catalog relevance. Design lexical and semantic retrieval, hybrid ranking, reranking, and learning-to-rank systems; evaluate quality through offline metrics and online experiments. Partner with Data Science, Product, Analytics, and Architecture teams on embeddings, relevance measurement, and technical solutions. Maintain production systems, resolve issues, mentor engineers, conduct code reviews, and promote continuous delivery and engineering best practices.

Build and operate Resend’s scalable AWS platform, infrastructure, tooling, and self-service workflows. Responsibilities include infrastructure as code, platform standards, observability, reliability improvements, incident response, automation, and collaboration with engineers across the company. The role requires expertise in distributed systems, cloud infrastructure, networking, delivery pipelines, and production operations, with opportunities to work on high-throughput systems and developer tooling.

Owns an Agentic AI platform across CI/CD, AWS infrastructure, Kubernetes operations, observability, security, and runtime reliability. Builds delivery pipelines, automated testing and quality gates, EKS environments, infrastructure-as-code, monitoring and alerting, synthetic health checks, and runtime security testing. The role requires strong operational ownership, troubleshooting, secure supply-chain practices, audit readiness, and platform resilience in regulated or mission-focused environments.

Design, build, and operate distributed platform services and APIs using TypeScript and Go. Improve scalability, reliability, observability, and cost efficiency; develop data-intensive workflows and event-driven pipelines; manage SLIs/SLOs, incident response, CI/CD, and production releases. Partner with product teams on end-to-end delivery, write design documents and tests, and participate in on-call rotations for large-scale systems.

Develop and maintain Microsoft Power Platform solutions, including Power Apps, Power Automate workflows, and Power BI dashboards. Integrate applications with Azure DevOps, Microsoft 365, Azure, and other data sources. Translate business requirements into scalable applications, reporting, and automation supporting portfolio management and program operations. Troubleshoot performance and integration issues, manage development priorities, collaborate with stakeholders across programs, and provide documentation and enablement. Apply SAFe portfolio and execution concepts to support leadership visibility and delivery tracking.

Develop and maintain scalable Salesforce solutions using Apex, Lightning Web Components, declarative automation, and REST/SOAP integrations. Build secure platform integrations with Platform Events and Named Credentials, manage source-controlled deployments through SFDX and CI/CD pipelines, enforce Salesforce security and governor-limit best practices, and provide testing, documentation, stakeholder collaboration, and production support.

Build and operate a large-scale enterprise data platform spanning batch and streaming processing, lakehouse storage, Kafka infrastructure, APIs, observability, and agentic MCP interfaces. Develop reusable ingestion and data-quality frameworks, improve scalability and resilience, establish engineering practices, support production operations, and mentor engineers. The role requires deep ownership of distributed data infrastructure and practical use of AI coding agents.

Build and lead development of high-availability backend services for Affirm’s card loan platform. Design scalable APIs, data models, microservices, and event-driven systems supporting real-time loan attribution, approvals, origination, and refunds. Drive technical strategy, troubleshoot complex performance issues, collaborate with cross-functional teams, and mentor engineers while ensuring long-term system robustness and scalability.

Build and maintain low-code solutions with Microsoft Power Platform, PowerApps, and Power Automate for federal modernization efforts. Support frontend and backend development, translate ambiguous requirements into working products, troubleshoot complex issues, participate in code reviews, and collaborate with product managers, designers, and stakeholders in a remote Agile environment.

Designs, configures, operates, and optimizes the enterprise ServiceNow platform. Responsibilities include developing workflows, integrations, automations, Agentic AI capabilities, and self-service tools; troubleshooting complex issues; supporting releases and incidents; conducting security and configuration audits; maintaining knowledge articles and SOPs; managing ticket queues, SLAs, Agile backlogs, and sprint priorities; and presenting platform metrics to IT management. Provides technical leadership, governance, mentoring, and long-term platform strategy.

Designs, operates, secures, and optimizes an enterprise Lakehouse data platform supporting analytics, AI, and data products. Responsibilities include platform administration, governance, access controls, performance optimization, monitoring, disaster recovery, Infrastructure-as-Code, CI/CD, cost optimization, capacity planning, compliance, and collaboration with cloud infrastructure and data teams. The role also provides technical leadership across multifunctional projects and requires occasional travel.

Owns the Varicent SPM platform’s architecture, integrations, configuration, reporting, governance, and operational support. Designs integrations with Workday, Salesforce, and Google Cloud Platform; translates business requirements into scalable technical solutions; performs fit-gap analysis, testing, release support, troubleshooting, and root-cause resolution. The role also maintains technical documentation, supports compensation and HR stakeholders, manages platform security and compliance, collaborates with vendors, and mentors team members.