Top Platform Engineer Jobs in Chicago, IL

Design and engineer reusable cloud data platform architectures, define technology strategies and roadmaps, guide internal customers, evaluate new technologies, and build hands-on infrastructure for proofs of concept. The role supports AWS and GCP platforms, data integration, analytics, AI, cloud migrations, automation, DevOps, DataOps, and platform adoption. It also provides technical leadership and architectural guidance across organizational boundaries.

Designs, builds, operates, and maintains scalable HPC platforms across public cloud and on-premises environments. The role enables scientific and analytical computing, optimizes workloads with researchers, and manages orchestration, scheduling, data access, automation, monitoring, and reproducibility. Responsibilities include HPC administration, infrastructure troubleshooting, cluster architecture, DevOps automation, and leading large-scale global infrastructure initiatives.

Lead architecture, development, scaling, and reliability for SingleStore Helios, a multi-cloud SaaS platform. Design Kubernetes operators, controllers, networking, routing, and distributed control planes across AWS, Azure, and GCP. Build resilient Go and Python systems, support AI and vector workloads, resolve complex Tier-3 production incidents, and maintain compliance controls. Mentor engineers, author architecture documents, and influence cross-functional technical strategy.

Build AI platform infrastructure and developer tooling, including API gateways, model routing, integrations, observability, retrieval, caching, and model-serving systems. Develop APIs, microservices, SDKs, and internal tools that connect proprietary real estate data and AI models to production applications. Collaborate with ML engineers, contribute to architecture decisions, and own features through deployment and monitoring.

Leads strategy, architecture, reliability, modernization, and operations for enterprise database platforms across SQL Server and cloud environments. Responsibilities include technical leadership, database design and optimization, automation, performance tuning, upgrades, migrations, disaster recovery, security and compliance, incident response, and mentoring database engineers. Partners with Engineering, SRE, DevOps, Architecture, and Product teams to deliver highly available, scalable, and operationally efficient database services.

Designs, implements, and troubleshoots large-scale platform deployment automations supporting DoD ABMS and JADC2 systems. The role integrates technologies into secure orchestrated solutions, develops installation and testing procedures, automates infrastructure and system management, maintains containerized PaaS environments, documents technical processes, and participates in Agile ceremonies. Responsibilities include DevSecOps, GitOps, infrastructure as code, Linux administration, virtualization, networking, and configuration management.

Build and scale developer platform capabilities, AI-powered coding and review tools, CI/CD systems, Kubernetes infrastructure, and self-service developer workflows. Improve reliability, security, observability, and delivery speed through automation, reusable templates, guardrails, documentation, and incident-response practices. Collaborate closely with platform teammates, contribute to roadmap decisions, and communicate clearly about progress, blockers, and technical tradeoffs.

Own the administration, security, reliability, observability, and cost management of the company’s data platform. Operate and migrate to Snowflake, standardize ingestion and data operations, extend practices to PostgreSQL and NoSQL databases, manage vendors and access, implement infrastructure as code and CI/CD, and support incident response, governance, and cost optimization across teams.

Leads the Developer Platform and Experience engineering team supporting PingOne multi-tenant SaaS. Owns CI/CD pipelines, build systems, self-service developer tooling, platform modernization, operational reliability, and AI-enabled engineering automation. Provides architectural oversight, drives observability and incident response practices, and manages a globally distributed team of senior and staff engineers while improving developer productivity and platform adoption.

Builds and operates AWS developer-platform infrastructure, CI/CD pipelines, Terraform-based service infrastructure, Kubernetes and serverless workloads, and self-service onboarding workflows. Responsibilities include configuring connectivity, secrets, observability, security controls, and environment promotion; troubleshooting delivery and production issues; supporting releases; managing infrastructure drift; and contributing to AI-augmented automation and tooling. The role partners with Engineering, Release, SRE, and Infrastructure teams while maintaining documentation and compliance evidence.

Own the architecture and long-term direction of Alpaca’s Redpanda-based event streaming platform. Lead migration to event-driven systems, design scalable real-time client streaming, establish schema and library standards, shape authentication for streaming, partner on resilience and testing, mentor engineers, influence cross-team technical decisions, and participate in platform on-call. The role primarily uses Go and involves Kubernetes, Helm, PostgreSQL, observability, and distributed systems.

Investigate and remediate platform reliability issues across TypeScript applications, microservices, integrations, Kubernetes workloads, and CI/CD pipelines. Build observability through monitoring, alerting, dashboards, and distributed tracing; diagnose performance issues; conduct resilience and fault-injection testing; define SLOs and SLIs; maintain reliability roadmaps and runbooks; and partner with infrastructure and application engineering teams on complex incidents.

Support Netflix live streaming events by improving cloud traffic capacity, scalability, observability, and reliability. Design and execute load, performance, resilience, fault-injection, and functional tests; analyze results; develop capacity plans; debug complex distributed systems; and collaborate across teams during event planning and launches. Participate in on-call rotations and support flexible event-based schedules.

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.

Maintains, designs, provisions, and automates on-premises and cloud infrastructure supporting APIs, middleware, and distributed platforms. Develops infrastructure-as-code, automation tooling, CI/CD pipelines, and cloud services using Python, Ansible, Terraform, and Helm. Supports Windows and Linux systems, virtualized and containerized environments, networking, monitoring, backups, and post-implementation enhancements across Azure and AWS.

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.

Design, build, and operate Kubernetes-based container orchestration and supporting infrastructure across a global private cloud. Drive automation, tooling, and GitOps workflows; ensure availability and performance, participate in on-call rotations, lead incident response and postmortems, and collaborate on multi-region resilience and platform modernization.

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.

Designs and operates internal cloud platforms, CI/CD pipelines, Azure infrastructure, Kubernetes environments, and infrastructure-as-code using Pulumi. Builds self-service deployment capabilities, secure identity integrations, observability, governance, and FinOps practices. Partners with application, security, IAM, SRE, and developer teams to improve platform reliability, developer experience, delivery speed, and cloud cost management.

Designs, deploys, and maintains Azure Kubernetes Service environments and enterprise GitLab CI/CD automation. Builds Helm charts, Kubernetes manifests, and Infrastructure as Code using Terraform, Bicep, or ARM. Supports containerization, observability, secrets management, security scanning, troubleshooting, and Zero Trust compliance. Collaborates with application teams to improve deployment reliability, scalability, and operational resilience across enterprise ICAM mission systems.

Design, build, and maintain scalable cloud or hybrid infrastructure with automated CI/CD, monitoring, and cloud optimization to ensure 99.9% uptime. Lead migration efforts, implement monitoring and performance strategies, and collaborate with cross-functional teams to maintain platform stability.

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.

Staff Engineer responsible for database architecture, performance, reliability, migrations, and operational standards across PostgreSQL, graph, and time-series data stores. The role involves writing production code, analyzing query performance, designing failover and migration systems, mentoring engineers, and guiding database practices across teams. Candidates need deep PostgreSQL expertise, experience with graph and analytical databases, cloud or Kubernetes operations, and proficiency in Go or Python.

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.