Top Senior Platform Engineer Jobs in Chicago, IL

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.

Designs and supports secure, compliant Azure and GCP DevOps platforms, including CI/CD pipelines, Kubernetes environments, GitOps workflows, and JFrog tooling. Owns software supply chain security, artifact governance, vulnerability management, feature flagging, automation, developer self-service, and platform reliability. Provides L3 support, incident response, documentation, compliance controls, and on-call coverage while enabling enterprise-scale software delivery.

Designs, implements, and supports secure Azure and GCP DevOps platforms, CI/CD pipelines, Kubernetes environments, GitOps workflows, and developer self-service capabilities. Owns enterprise tools including JFrog, Argo CD, SonarQube, LaunchDarkly, GitHub, and runners. Leads software supply chain security, vulnerability remediation, compliance, automation, platform modernization, incident response, and L3 support while partnering with cybersecurity teams.

Designs and maintains CI/CD pipelines, Terraform infrastructure, Kubernetes clusters, AWS cloud environments, and GitHub workflows. The role improves developer tooling and SDLC processes, troubleshoots infrastructure and application issues, and implements security, reliability, observability, and performance best practices while collaborating with engineering teams.

Architect and lead enterprise data platforms, pipelines, and infrastructure using Spark, Databricks, and cloud technologies. Build scalable data models and dimensional schemas, establish governance and data quality frameworks, optimize performance and reliability, and implement monitoring. Partner with stakeholders to translate requirements into technical solutions, lead design reviews, mentor engineers, contribute to platform strategy, troubleshoot complex failures, and support hiring and team development.

Owns an Agentic AI platform across CI/CD, AWS infrastructure, Kubernetes operations, observability, security, and runtime reliability. Builds delivery pipelines, automated testing and quality gates, EKS environments, infrastructure-as-code, monitoring and alerting, synthetic health checks, and runtime security testing. The role requires strong operational ownership, troubleshooting, secure supply-chain practices, audit readiness, and platform resilience in regulated or mission-focused environments.

Own and evolve cloud infrastructure, internal developer tooling, release automation, preview environments, and reliability practices. Build reusable libraries and SDKs, improve monitoring and tracing, manage SLOs and incident response, and solve scaling challenges across data and compute systems. The role requires strong AWS, Terraform or Pulumi, TypeScript and Node.js knowledge, startup infrastructure experience, and clear technical documentation.

Build and improve machine learning systems for ad ranking, relevance, personalization, and optimization. Responsibilities include feature pipelines, model training and evaluation, active learning, LLM-assisted labeling and synthetic data generation, experimentation, and low-latency production inference. The role partners with product, data, and platform teams to improve advertiser performance and user engagement while maintaining reliability, latency, and data quality.

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.

Build and operate secure, scalable Azure infrastructure and AI platform capabilities using Terraform, MCP servers, LLMOps/GenAIOps, Docker, Kubernetes, and GitHub Actions. Own CI/CD, observability, reliability, security, compliance, incident response, and production support for platform and AI workloads. Partner on AI platform roadmap development, reusable engineering patterns, tooling adoption, documentation, and Agile delivery while participating in on-call rotations.

Designs and develops foundational Azure compute platform technologies. Leads architecture and design for complex systems, writes secure and performant production code, establishes test strategies, performs code reviews, debugs system issues, and drives cross-team technical alignment. The role also applies AI-enabled engineering practices, improves engineering quality, and supports security hardening across cloud infrastructure solutions.

Lead technical pre-sales engagements for Microsoft cloud database and analytics products. Deliver PoCs, demos, hackathons, and architecture workshops; design secure, scalable solutions; resolve technical blockers; collaborate with engineering; and evangelize Fabric, Databricks, Purview and Azure database technologies to accelerate customer migrations and adoption.

Build and operate a large-scale enterprise data platform spanning batch and streaming processing, lakehouse storage, Kafka infrastructure, APIs, observability, and agentic MCP interfaces. Develop reusable ingestion and data-quality frameworks, improve scalability and resilience, establish engineering practices, support production operations, and mentor engineers. The role requires deep ownership of distributed data infrastructure and practical use of AI coding agents.

Drive projects that improve AI agent effectiveness across software development workflows. Build and maintain reliable developer tooling, iOS frameworks, libraries, build systems, and testing infrastructure. Collaborate with cross-functional partners to improve developer productivity, increase AI agent efficiency and reliability, and deliver roadmap initiatives across large-scale codebases.

Build full-stack software, backend services, APIs, frontend experiences, and shared integration capabilities supporting AI initiatives across Keeper’s products. Integrate LLMs, agents, and tool-calling workflows into secure production environments while maintaining zero-knowledge principles. Troubleshoot cross-product systems, improve reliability and observability, contribute to architecture and code reviews, automate testing and CI/CD, and collaborate with AI, product, and engineering teams.

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.

Design, build, and maintain scalable cloud infrastructure using AWS, GCP, or Azure. Implement SRE practices, monitoring, observability, capacity planning, Kubernetes and Helm deployments, CI/CD pipelines, automation, and cloud security controls. Collaborate with cross-functional teams, ensure compliance, and mentor engineers while improving reliability, availability, scalability, and performance.

Own and evolve production data systems supporting healthcare, claims, billing, analytics, and reporting. Design resilient ingestion patterns, data contracts, models, schemas, and pipelines that handle incomplete, duplicated, delayed, and changing data. Improve performance, observability, failure handling, retries, backfills, and replay safety. Collaborate with engineering, product, operations, and analytics teams while making architecture decisions and documenting technical changes.

Design, develop, secure, and maintain mission-critical Microsoft-platform software for DoD programs. Build C# and .NET applications, responsive JavaScript and EXT JS interfaces, REST APIs, and optimized SQL Server databases. Apply secure coding, STIG, RMF, threat modeling, vulnerability remediation, documentation, and compliance practices. Integrate Kiro AI capabilities, collaborate with cybersecurity and engineering teams, and support deployment and sustainment in classified or controlled environments.

Design and build enterprise-scale programmable voice platforms, APIs, call-control services, media processing, and real-time communications infrastructure. Develop Java and Spring Boot backend services, integrate contact-center and CX platforms, and troubleshoot signaling and call-quality issues. Define scalability, security, observability, disaster recovery, and other non-functional requirements. Lead architecture and technical delivery, establish engineering standards, review designs and code, manage technical risks, and collaborate with clients, vendors, and cross-functional engineering teams.

Design, build, and evolve customer-facing backend services and public APIs for Chainguard’s platform. Own features end-to-end from technical design through rollout and iteration, partnering with Product and front-end teams. Develop reliable, observable cloud-native services consumed across multiple products, contribute to roadmap prioritization, and deliver iteratively in a remote startup environment.

Build and operate scalable cloud, data, and AI infrastructure across AWS, GCP, and Azure. Develop Infrastructure as Code, CI/CD pipelines, self-service platforms, and secure containerized environments. Establish observability, monitoring, alerting, governance, compliance, and operational support practices. Drive platform architecture and technical standards, collaborate across teams, evaluate new technologies, document solutions, and mentor engineers. The role is fully remote with up to 10% travel.

Design, automate, secure, and operate Kubernetes platforms for a DoD environment. Responsibilities include infrastructure as code, GitOps and CI/CD, Kubernetes networking and RBAC, service mesh, cloud integrations, platform troubleshooting, and reliability improvements. Senior engineers also guide technical decisions and mentor others while remaining hands-on.

Designs, configures, operates, and optimizes the enterprise ServiceNow platform. Responsibilities include developing workflows, integrations, automations, Agentic AI capabilities, and self-service tools; troubleshooting complex issues; supporting releases and incidents; conducting security and configuration audits; maintaining knowledge articles and SOPs; managing ticket queues, SLAs, Agile backlogs, and sprint priorities; and presenting platform metrics to IT management. Provides technical leadership, governance, mentoring, and long-term platform strategy.

Build and maintain backend integrations and policy platform features using Golang, MongoDB, Snowflake, and AWS. Work with customer engineering stakeholders to deliver scoped changes, follow established coding, testing, review, and deployment standards, and communicate progress and blockers. The role requires rapid onboarding, independent execution, and reliable delivery in a fully remote contractor engagement.