Top Senior Platform Engineer Jobs in Chicago, IL

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.

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.

Lead operational reliability and platform enablement for Databricks: build monitoring, CI/CD, deployment standards, compute and job policies, observability, runbooks, and governance to support secure, cost-aware, production data workloads across regulated environments. Mentor engineers and align platform with cloud/infrastructure and compliance requirements.

Leads architecture, engineering, security, governance, automation, and strategic direction for enterprise Microsoft 365 and hybrid cloud platforms. Designs scalable cloud-native solutions, automates provisioning and security remediation, manages infrastructure as code, oversees migrations and modernization, defines standards and roadmaps, and serves as the highest technical escalation point. Partners with vendors and internal teams, mentors engineers, and ensures platform reliability, compliance, monitoring, and operational support.

Build and lead a scalable platform engineering function spanning CI/CD, infrastructure, observability, developer tooling, environments, and production operations. Develop internal tools, reusable automation, paved roads, and AI-assisted workflows that improve developer experience, delivery reliability, and engineering productivity. Partner across teams, guide architecture and standards, measure DORA and DX metrics, and shape the platform roadmap while providing hands-on technical leadership.

Lead and grow ReflexAI’s platform engineering: design and automate multi-cloud (GCP/AWS) infrastructure, build developer tooling and CI/CD golden paths, improve observability and on-call ergonomics with Datadog, and strengthen cloud security, secrets management, and compliance to support production-grade AI workloads.

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.

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.

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.

Manage and improve automated Linux infrastructure and on-premises Kubernetes platforms. Develop system software, middleware, APIs, and automation using Python, Bash, and configuration management tools. Maintain packages and repositories, support CI/CD integration, troubleshoot operating system, network, and container issues, implement security hardening, and participate in on-call support. Collaborate with application support, development, and security teams to ensure reliable, secure, and scalable infrastructure.

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.

Own the reliability, scalability, security, and performance of Rezilient’s healthcare platform. Design and operate cloud infrastructure, Infrastructure as Code, CI/CD pipelines, observability, container orchestration, incident response, automation, disaster recovery, and security controls for PHI. Establish SLOs, SLIs, and error budgets; reduce operational toil; lead postmortems; and partner with engineering, product, and security teams to deliver resilient services.

Own and evolve Fieldwire’s cloud infrastructure, production systems, deployment tooling, and automation. Responsibilities include infrastructure design, IaC, CI/CD, reliability and performance management, incident response, monitoring and observability, security, architectural leadership, cross-team collaboration, mentoring, and on-call participation.

Scale and improve the reliability, performance, and scalability of Fleetio’s Ruby on Rails application and infrastructure. Responsibilities include observability, incident response, AI-powered automation, database capacity planning, disaster recovery, backups, documentation, performance analysis, code review, and on-call participation. The role collaborates with engineering teams to address bottlenecks and adopt AI-driven reliability practices.

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.

Maintain and improve a complex healthcare platform spanning rules engines, applications, orchestration, event streaming, and data pipelines. Diagnose production issues, improve reliability, observability, performance, and scalability, implement focused features, write tests, participate in reviews, support on-call incident response, and lead root-cause analysis. Collaborate with delivery and decision intelligence teams to assume long-term ownership of platform components.

Design, build, deploy, and maintain resilient, scalable backend services and platform components for Toast's Voice AI platform. Lead cross-cutting architecture and projects, integrate AI platforms (LLMs), implement observability and evaluation for AI systems, set engineering standards, and mentor engineers.

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.

Architects, deploys, and operates scalable data platform infrastructure supporting analytics. Responsibilities include administering Airflow and Superset, managing Terraform infrastructure, building CI/CD pipelines, enforcing security and compliance, developing DBT data models, cataloging assets in OpenMetadata, writing Python automation, and mentoring engineers. The role requires extensive infrastructure and data engineering experience across cloud platforms, containers, data security, and workflow orchestration.

Own the AWS infrastructure, deployment path, access model, and observability for a new data platform handling protected health information. Build declarative infrastructure with Terraform or CDK, implement GitOps and CI/CD, administer Kubernetes workloads, design least-privilege access, manage networking and databases, and automate operational processes including autoscaling and self-healing.

Designs and governs enterprise Infrastructure-as-Code and configuration management frameworks. Develops Ansible and Salt automation for infrastructure provisioning, patching, compliance, configuration drift management, and lifecycle operations across hybrid environments. Integrates automation with CI/CD pipelines, source control, cloud platforms, and DevOps toolchains. Troubleshoots platforms, establishes governance and audit controls, and mentors engineers on automation best practices.

Build reusable backend platforms and developer-facing tooling for performance testing, analysis, reporting, and AI-assisted engineering workflows. Enable service teams to independently incorporate performance testing into development and CI workflows through self-service capabilities, documentation, templates, diagnostics, and guidance. Partner with engineering teams, influence adoption, generalize solutions, and provide expertise on complex performance challenges.

Architects, operates, and improves cloud data and analytics platforms and BI infrastructure. Owns platform standards, CI/CD, reliability, monitoring, incident response, security, governance, performance, and technical documentation. Leads onboarding and enables engineering and client teams through reusable patterns and guardrails. Requires production platform ownership, cloud data and BI expertise, accounting experience, scripting, SQL, troubleshooting, and cloud fundamentals.

Build and operate scalable ML infrastructure and platform capabilities across cloud and on-premises environments. Develop Python-based developer tooling, services, and production systems supporting experimentation, distributed training, model deployment, and operations. Lead complex initiatives from architecture through rollout, improve reliability and developer productivity, and partner with ML and infrastructure teams. The role emphasizes Kubernetes, AWS, distributed compute, GPU-intensive workloads, observability, and production excellence.

Build and maintain cloud-native production platforms, automate infrastructure and software delivery, and bridge application and platform teams. Responsibilities include validating implementations, solving technical problems, developing components, estimating work, supporting Kubernetes environments, implementing security automation, and applying DevOps, CI/CD, GitOps, and infrastructure-as-code practices. The role requires collaboration across teams, independent execution, and occasional travel.