Top Senior 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.

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.

Build and own AI platform capabilities across data ingestion, enterprise integrations, APIs, agent orchestration, RAG, vector search, knowledge graphs, authentication, and workflow automation. The role involves end-to-end product ownership, customer collaboration, technical architecture, rapid delivery, production support, and prompt engineering. Engineers are expected to work independently in ambiguous environments and use AI coding tools extensively to deliver secure, reliable enterprise AI products.

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.

Leads product strategy for Braintree’s developer platform, including GraphQL, mobile, web, and server SDKs. Owns API strategy, versioning, deprecation, migration, enterprise integration improvements, monetizable value-added services, and AI-driven developer experiences. Coordinates SDK and API product roadmaps, represents the platform in executive reviews, oversees profitability and metrics, and partners with engineering, design, data science, research, and content teams.

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.

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.

Lead architecture and roadmap for a company-wide data lakehouse platform. Build platform-as-product components (SDKs, CLIs, control planes), optimize distributed compute/storage, prototype performance R&D, ensure compliance-by-design (lineage, PII masking, access control), enable real-time AI data ingestion, drive engineering standards, and mentor cross-functional teams.

Own and evolve high-scale backend and data-layer services. Design, build, test, and operate distributed backend services and APIs, improve reliability/latency/scale, take end-to-end ownership from design through production support, participate in on-call and incident response, and mentor peers while partnering with Product and SRE teams.

Leads development and architectural evolution of an AI-powered code security scanner. Responsibilities include building user-facing dashboards and workflows, implementing secure authentication, extending backend scanning and orchestration services, integrating LLM-based security analysis, automating vulnerability validation and reporting, enhancing scalability, and mentoring junior engineers.

Lead development and architectural evolution of an AI-powered code security scanner. Build secure user-facing applications, reporting dashboards, backend orchestration and scanning services, LLM integrations, vulnerability analysis workflows, authentication, authorization, and cloud-native solutions. Mentor engineers and drive platform modernization, scalability, automation, testing, and long-term enhancements for enterprise applications in regulated environments.

Design and build a durable data storage platform that preserves source disagreements, provenance, uncertainty, historical versions, and evidence. Develop result and evidence stores, lineage tracking, versioned rules and configurations, reproducible decision records, and point-in-time entity views. Collaborate with entity-resolution and machine-learning teams to support probabilistic outputs. The role requires production data engineering experience, strong Python and SQL, PostgreSQL expertise, U.S. citizenship, and an active Secret clearance.

Own and evolve a shared engineering platform spanning cloud infrastructure, delivery tooling, reliability, security, authentication, and deployment. Build backend and full-stack solutions, improve production availability, lead platform projects and technology decisions, and support internal engineering teams through shared tooling, documentation, reviews, and coaching. Participate in on-call rotations and help scale an established product platform.

Build and modernize Carrum Health’s data platform by developing Python and SQL pipelines, AWS services, Terraform infrastructure, dbt transformations, observability, testing, and CI/CD. Automate carrier integrations, reduce operational toil, improve reliability, and support Databricks adoption. Extend AI-assisted ingestion and classification using Bedrock and collaborate across engineering, analytics, data science, and client-facing teams. The role includes production ownership, incident response, technical documentation, and healthcare data platform development.

Deploys, supports, and improves Managed Services Gateways across cloud and virtualization platforms. Administers Linux, Kubernetes (Rancher), VMware/Hyper-V, networking and firewalls; automates workflows; triages escalations; documents runbooks; coordinates with clients and teams; participates in on-call and lifecycle/security initiatives.

Build and maintain production data ingestion, transformation, and pipeline systems for a governed federal data and AI platform. Develop data products, contribute to Terraform infrastructure and CI/CD, monitor quality and reliability, troubleshoot issues, and apply governance and access controls. Support data science and ML teams while operating within FedRAMP, NIST 800-171, and CUI requirements. Collaborate with engineers and document pipelines and processes.

Build and maintain Curai’s marketing platform, including web features, APIs, data flows, event tracking, attribution measurement, SQL models, dashboards, and ClickHouse-backed marketing analytics. The role partners with marketing to scope engineering projects, improves site performance and conversion, investigates data quality issues, reviews code, strengthens testing and monitoring, and makes technical decisions across the engineering team.

Architects and owns highly available infrastructure and Kubernetes-based platforms supporting autonomous systems. Builds Golang backend services, platform tooling, observability systems, dashboards, alerts, and log aggregation. Partners with product teams to launch services, performs performance analysis, manages cloud upgrades, and participates in incident response and postmortems. Collaborates on cloud security risk assessments, intrusion detection, threat-feed systems, risk mitigation, and SaaS payment processes. Provides architectural leadership and mentorship across engineering teams.

Build and maintain data lakes, data warehouses, and modern data pipelines for a multi-tenant SaaS platform. Design end-to-end data processes, write pipeline and infrastructure code, conduct design reviews, optimize performance, monitor systems, support data governance, and troubleshoot scalability and security issues. Collaborate with technical and business stakeholders, mentor junior engineers, evaluate technologies, document platform architecture, automate testing, and participate in on-call rotation.

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.

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.

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.

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.

Designs, develops, tests, and maintains robotics middleware and application frameworks in modern C++ on embedded Linux. Owns platform components through deployment and fleet operation, improves reliability and performance, diagnoses complex concurrency and systems issues, and translates safety requirements into software behavior and verification. Collaborates across autonomy, systems, hardware, and software teams while leading technical reviews and mentoring engineers.