Top Platform Engineer Jobs in Chicago, IL

Build testing tools, frameworks, metrics, and standards for Cedar’s engineering teams. Improve test-suite reliability, speed, coverage, service-to-service testing, and CI/CD integration. Establish testing best practices, connect tests to product behavior, and lead quality-improvement projects from investigation through adoption. The role requires strong software development and testing expertise in Python and JavaScript/TypeScript, with experience using modern testing frameworks and measuring test performance and reliability.

Own and improve Dropbox’s Windows endpoint platform, including provisioning, application delivery, patching, compliance, security configuration, troubleshooting, fleet health, and automation. Build code-managed endpoint operations using Intune, FleetDM, osquery, infrastructure-as-code, and GitOps practices. Lead cross-functional improvements, establish reliable deployment workflows, mentor engineers, review code and designs, and document reusable operational practices.

Lead a team of platform engineers while remaining hands-on in designing and implementing unified data platforms. Responsibilities include integrating siloed analytics applications, developing APIs and event streams, maintaining shared platform services, understanding distributed data pipelines, managing AWS infrastructure, applying infrastructure as code, and establishing deployment and reliability standards. The role also involves mentoring engineers, coordinating distributed contributors, evaluating cloud adoption, and translating technical decisions into business value, risk, and compliance outcomes.

Develop and maintain Microsoft Power Platform solutions for a federal client, including Power Apps, Power Automate workflows, Power BI reporting, and SharePoint repositories. Manage records, conference requests, and SOP processes through automated intake, routing, approvals, audit trails, permissions, and reporting. Collaborate with stakeholders on requirements, demonstrations, and iterative delivery within an agile sprint model while maintaining data integrity, governance, and compliance.

Own end-to-end technical initiatives for iManage’s core cloud platform, including requirements, architecture, implementation, and delivery. Design scalable distributed systems, microservices, and event-driven architectures using modern backend technologies and Azure. Evaluate AI technologies and practical workloads, address reliability and security, collaborate cross-functionally, and mentor engineers while influencing technical direction across teams.

Designs, operates, and improves production Kubernetes platforms across cloud environments. Manages ArgoCD GitOps workflows, Terraform infrastructure, CI/CD integrations, platform reliability, observability, security controls, and developer enablement. Collaborates with application teams to onboard services, create self-service tooling and documentation, respond to incidents, and improve platform availability and performance.

Own and evolve BYOC deployment infrastructure for Archie across customer environments. Build and operate Kubernetes-based systems across multiple clouds, develop Helm and GitOps deployment tooling, implement secure updates for restricted networks, and improve reliability, observability, and production operations. Collaborate with product, research, and forward-deployed engineering teams to translate requirements into scalable platform capabilities.

Lead the design, development, reliability, scalability, and operational excellence of Humana’s Next Best Action platform. Build platform services, automated testing, observability, resilience, and production-readiness capabilities across distributed systems. Write production code, manage and mentor engineers and contractors, establish quality standards, and coordinate with platform, data, decisioning, orchestration, and activation teams. Ensure high performance, traceability, fault tolerance, and compliance in a regulated healthcare environment.

Lead the architecture, security, and operation of Maestro’s multi-tenant AI platform on private GKE. Build Kubernetes operators, isolated per-user runtimes, identity and credential systems, service-mesh security, Terraform infrastructure, CI/CD, observability, audit pipelines, fleet operations, and human approval guardrails. Partner on safe agent integrations, establish platform and security standards, mentor engineers, and guide infrastructure strategy as the system scales.

Build and operate an AI-native platform spanning Kubernetes, infrastructure as code, CI/CD, identity, networking, security, compliance, observability, and cost management. Develop reusable platform modules, delivery pipelines, policy gates, isolated client environments, and AI development tooling. Lead through hands-on engineering, architecture decisions, design reviews, migrations, documentation, and developer enablement while ensuring reliability, security, and measurable developer outcomes.

Leads platform reliability engineering for the MANTL application, investigating complex failures, improving observability, performance, resilience, and deployment systems. Owns reliability risk roadmaps, monitoring, distributed tracing, CI/CD architecture, Kubernetes troubleshooting, fault-injection testing, SLOs and SLIs. Sets technical direction, establishes standards, mentors engineers, documents remediation practices, and serves as the senior escalation point for cross-functional reliability issues.

Build and operate a multi-tenant platform encompassing Kubernetes infrastructure, infrastructure-as-code, shared CI/CD pipelines, security and compliance controls, observability, identity, networking, and cost visibility. Establish reusable platform standards, enforce software supply-chain security, support AI development environments, and drive adoption across product teams. Provide technical leadership through architecture decisions, proof of concepts, code reviews, documentation, and migration support.

Leads platform architecture and hands-on infrastructure engineering across multi-tenant Kubernetes, infrastructure as code, CI/CD, cloud identity, security compliance, observability, and AI development environments. Designs scalable runtime, networking, identity, policy, and delivery systems while enforcing isolation and auditability. Owns strategic architecture decisions, reliability and security evidence, developer outcomes, and technical mentorship.

Build the core AI platform for an AI-native trading experience. Develop a high-performance Rust backend supporting streaming responses, low-latency tool execution, caching, and model orchestration. Design secure, observable APIs and runtime components with authentication, authorization, rate limiting, auditing, tracing, retries, and fallbacks. Build safe trading action infrastructure with deterministic previews, confirmations, idempotency, and audit logs while partnering with product and frontend teams.

Designs, provisions, and operates infrastructure from bare metal through private-cloud and virtualization platforms. Performs Linux administration, automation, configuration management, CI/CD, monitoring, security hardening, networking, data center installations, and service integration. Troubleshoots incidents, maintains documentation, evaluates technical solutions, and mentors student workers. The hybrid role requires at least three onsite days weekly and supports research computing infrastructure.

Design, configure, develop, integrate, test, document, and sustain Salesforce CRM capabilities. The role supports data models, automation, security, APIs, reporting, identity, troubleshooting, release management, and platform governance. It translates government and business requirements into secure, accessible, maintainable solutions while collaborating with architects, cybersecurity, QA, operations, product owners, and stakeholders. The engineer also develops reusable patterns, technical documentation, test evidence, and operational runbooks for federal enterprise environments.

Owns administration, development, governance, upgrades, integrations, and support for ServiceNow and related business systems including NetSuite and Arena PLM. Builds workflows, scoped applications, automations, APIs, and system integrations; maintains data quality and CMDB integrity; supports testing and production releases; and partners with operations, service, engineering, supply chain, and finance stakeholders to deliver scalable solutions.

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.

Deploys and operates secure, scalable AWS cloud platforms across federal environments, including FedRAMP and classified workloads. Builds Kubernetes infrastructure, Terraform modules, Crossplane compositions, CI/CD workflows, automation, telemetry, documentation, and developer tooling. Evaluates technologies, improves deployment processes, manages concurrent initiatives, and supports platform reliability. Requires Go, AWS, Kubernetes, infrastructure-as-code, and federal security knowledge, along with U.S. citizenship and the ability to obtain and maintain a Top Secret clearance.

Lead a hands-on platform engineering function spanning full-stack product development, real-time Kafka and ClickHouse data/ML pipelines, cloud infrastructure, DevOps, security, and reliability. Own React, Node.js, and MongoDB applications; Terraform, Kubernetes, AWS/GCP, Docker, and GitHub Actions; production observability and incident response; and SOC 2 readiness. Establish AI-assisted engineering workflows using tools such as Claude Code and Cursor while replacing vendor-built infrastructure with durable internal automation.

Designs, builds, and operates Huron’s AWS-based enterprise analytics platform. Responsibilities include developing Python frameworks, data pipelines, ETL/ELT solutions, infrastructure-as-code, CI/CD pipelines, monitoring, observability, and developer tooling. The role also supports data lake modernization, platform reliability, cloud automation, troubleshooting, and emerging AI-enabled capabilities.

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.

Build a high-performance frontend data platform for exploring and analyzing hardware telemetry. Develop React and TypeScript applications, interactive time-series visualizations, data visualization plugins, complex application state management, and LLM-assisted analysis workflows. Collaborate directly with hardware engineers and customers to define interfaces, prototype workflows, demonstrate features, and incorporate feedback into product development.

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.

Build and manage secure cloud platforms, automated deployments, infrastructure as code, Kubernetes environments, and self-service developer capabilities. Administer Linux systems, troubleshoot production services, manage accounts and documentation, and collaborate with developers to resolve issues. The role includes operational ownership, on-call support, customer collaboration, AI-augmented delivery, and up to 25% travel. U.S. citizenship and the ability to obtain a security clearance are required.