Top Senior Platform Engineer Jobs in Chicago, IL

Build and scale AI platform infrastructure for internal agents across AWS/GCP. Integrate identity (Okta, OAuth2/OIDC), implement agentic security, containerized deployments (Docker/Kubernetes), CI/CD and Terraform-based pipelines, run vendor evaluations, and design observability/telemetry for LLM-driven workflows while collaborating with security, identity, and engineering teams.

Design, implement, optimize, and maintain scalable hybrid multi-cloud Kubernetes platforms operating at massive scale. Integrate open-source technologies, improve platform reliability, provide technical direction, mentor engineers, and participate in on-call support. The role requires expertise managing large Kubernetes clusters, observability tools, Linux environments, public clouds, custom data centers, and AI-enabled workflow improvements.

Own and evolve AWS cloud infrastructure supporting a financial and hospitality technology platform. Design highly available systems, deployment pipelines, observability, security controls, and infrastructure migrations. Lead incident response, reliability planning, capacity management, and root-cause analysis while participating in on-call rotations. Partner with application engineers, establish infrastructure standards, and mentor platform engineers as the organization scales.

The Senior Platform Engineer will develop and support Workday solutions, collaborate with various teams, and enhance human resource technologies for Capital One.

Designs and owns Webflow’s foundational cloud and source-control infrastructure, including multi-account landing zones, networking, DNS, PKI, secrets, Infrastructure as Code, GitHub delivery pipelines, self-service hosting patterns, policy guardrails, observability, cost controls, and security baselines. Partners with SRE, security, and developer productivity teams to improve reliability, scalability, adoption, and performance while managing cloud vendors and tooling relationships.

Design, implement, and maintain scalable hybrid multi-cloud Kubernetes platforms at massive scale. Ensure high reliability, integrate open-source observability tools, provide technical direction, operate large Linux environments across cloud and data centers, handle on-call duties, and mentor junior engineers.

Design and build scalable services, APIs, and data models for content and catalog systems. Lead system and low-level design, drive end-to-end delivery, collaborate with product and architecture teams, improve CI/CD and observability, mentor engineers, and safely integrate AI/ML into content workflows.

Build and evolve SailPoint’s AWS-based internal migration platform through hands-on full-stack development, cloud infrastructure, AI agents, APIs, testing, CI/CD, observability, and security. The role uses Angular, FastAPI, Python, AWS CDK, and numerous AWS services. Responsibilities include architectural contributions, mentoring engineers, troubleshooting, stakeholder collaboration, and improving automation, reliability, developer productivity, and customer migration outcomes.

Own the multi-year technical strategy and architecture for Coinbase’s enterprise IAM platform spanning human, AI agent, service, and workload identities. Drive adoption across 700+ systems, establish authentication and authorization standards, lead migrations and build-versus-buy decisions, automate audit and regulatory controls, reduce standing privilege, and mentor senior engineering talent. Partner across Security, Compliance, IT, Infrastructure, and product teams while influencing technical direction without direct authority.

Designs, implements, and scales cloud infrastructure, Kubernetes platforms, IaC solutions, CI/CD pipelines, and observability systems. Establishes SRE practices including SLIs, SLOs, SLAs, error budgets, incident response, capacity planning, and toil reduction. Manages telemetry across AWS, GCP, and Azure using OpenTelemetry, while supporting security, compliance, governance, and automated testing. The role also involves technical consulting, troubleshooting distributed systems, documentation, stakeholder presentations, and up to 20% domestic travel.

Install, operate, and lifecycle-manage bare-metal OpenShift and Kubernetes platforms. Build Terraform and Ansible infrastructure-as-code provisioning, support platform services and virtualization, implement STIG and cybersecurity compliance, monitor performance, and document architecture and operations. The role also supports OCONUS hardware bootstrap activities and transitions manual provisioning to an IaC-managed model.

Leads application support and platform enablement across AWS Commercial and GovCloud environments. Owns incident response, root-cause analysis, remediation, and production reliability for OpenShift and EKS workloads. Builds Terraform modules and GitLab templates for developer self-service, CI/CD, security scanning, observability, and compliance. Operates AWS infrastructure, Kubernetes platforms, and monitoring tools while enforcing least-privilege access, STIG, CIS, FedRAMP, and DoD requirements. Provides technical leadership, architecture guidance, mentoring, and cross-functional coordination.

Lead design, build, and operate scalable GenAI backend services and APIs (Python/FastAPI). Integrate LLM providers, vector stores, and Aurora PostgreSQL for RAG workflows. Implement guardrails, observability, CI/CD, testing, and on-call support. Partner with cross-functional teams and produce documentation to enable safe, multi-tenant GenAI platform adoption.

Build and own core platform infrastructure, including Terraform, cloud environments, CI/CD pipelines, developer tooling, observability, monitoring, alerting, secrets management, and deployment abstractions. Partner with product engineers to improve delivery speed and reliability, support GCP messaging infrastructure, develop compliance tooling, improve cost visibility, and independently operate production systems in a regulated fintech environment.

Own and evolve GitLab’s authorization systems across its Ruby on Rails monolith and next-generation Rust policy engine. Design fine-grained permissions for users, tokens, roles, and AI agents; secure GraphQL and REST APIs; lead feature-flagged rollouts and migrations; improve performance and reliability; and collaborate across authentication, platform, AI, and modular-service teams in a distributed asynchronous environment.

Design, build, and operate internal developer platforms, CI/CD pipelines, developer environments, deployment workflows, and shared services. Create automation and custom tooling, prototype and productionize AI-assisted engineering workflows, strengthen cloud and container foundations (Kubernetes, IaC), instrument platforms with telemetry, and own platform projects end-to-end including rollout, adoption, and on-call.

Lead enterprise-scale migrations to GitHub Enterprise Cloud, including repositories, users, access controls, workflows, Enterprise Managed Users, and data residency. Build governed identity and access environments, validate integrations, and document handoffs. Design and maintain scalable internal developer platforms, standardize tooling, and develop self-service infrastructure and CI/CD capabilities. Partner with client IT teams, mentor engineers, and apply cloud-native architecture, Kubernetes, automation, and Infrastructure as Code practices.

Build and operate the multi-tenant platform layer for a GPU cloud service. Responsibilities include Kubernetes-based orchestration, tenant isolation, platform APIs and tools, GPU cluster automation, infrastructure as code, reliability and observability partnerships, customer issue support, environment templates, rollout tooling, architecture reviews, and reducing operational toil.

As a Senior z/OS Platform Engineer, you will enhance mainframe software systems, support infrastructure tasks, and mentor team members.

Design, build, deploy, and operate Node.js and TypeScript backend services supporting account onboarding, identity verification, agreements, and funding. Own event-driven workflows, asynchronous processing, job orchestration, integrations, reliability, monitoring, and operational tooling. Develop scalable services on Google Cloud Platform and Kubernetes, support expansion into new markets, coordinate technical direction, and mentor engineers. Ensure correctness through idempotency, retries, reconciliation, and resilient handling of partial failures.

Lead frontend development for Coinbase identity experiences including login, signup, OAuth, account security, and multi-factor authentication. Own projects from design through deployment and monitoring, guide Native versus Webview architecture, author technical designs, resolve systemic technical debt, lead on-call and incident response, and mentor engineers.

Own and implement platform initiatives to improve scalability, reliability, and developer experience. Automate infrastructure with IaC, operate Kubernetes and CI/CD pipelines, build developer tools, monitor platform resilience, participate in incident response, and influence architecture and processes as you grow.

Own and lead the technical direction of a major codebase section while designing, building, testing, documenting, and maintaining secure, scalable API-based decisioning products. Partner with product, engineering, and security teams on agile delivery, troubleshoot production issues, meet SLA requirements, and participate in an on-call rotation.

Designs and delivers large-scale, governed data pipelines and infrastructure across the full data lifecycle. Responsibilities include coding in Python and SQL, optimizing Airflow, dbt, AWS, Kafka, and Iceberg/Parquet workflows, implementing data quality and observability, contributing to architecture and tool evaluations, mentoring engineers, collaborating with stakeholders, and participating in on-call support.

Manage and improve enterprise applications and cloud infrastructure on GCP. Design Terraform-based infrastructure, automated CI/CD pipelines, upgrade scripts, and internal developer platforms. Lead incident management, root cause analysis, on-call support, performance optimization, and resource rightsizing while establishing infrastructure-as-code and security standards. Collaborate with engineering teams to improve deployment reliability and productivity.