Top Senior Platform Engineer Jobs in Chicago, IL

Design, build, and operate scalable, secure data platform infrastructure for ingesting, processing, cataloging, and accessing petabytes of data. Improve Spark/Databricks reliability and developer experience, build ingestion/replication systems, develop internal libraries and tooling (Go/Python), and collaborate with cross-functional teams to support analytics, ML, and customer-facing data products.

Lead Salesforce and billing platform engineering with an emphasis on AI-driven automation. Build scalable Salesforce solutions (Apex, Flow, LWC), pilot LLM/agent workflows, modernize CI/CD and test automation, support Quote-to-Cash and billing processes, collaborate across product and finance, drive technical debt reduction, and mentor junior engineers.

Provide production support, monitoring, CI/CD design and security automation for open-source translational data science platforms. Triage incidents, develop monitoring analytics, implement hybrid-cloud CI/CD, mentor staff, and collaborate with stakeholders to design, maintain, and optimize infrastructure (on-prem and cloud) including GPU-enabled compute and containerized deployments.

Lead design and delivery of integrations platform features (SDKs, agents, pipelines). Improve integration authoring, reliability, scalability, observability, and developer tooling. Partner across product and customer teams, mentor engineers, and evaluate emerging technologies to scale integration development and agent-based workflows.

Design, build, and own Marathon's core cloud platform (primarily AWS). Implement IaC (Terraform), automation, self-service, and reliability-by-design. Define platform standards, embed security and compliance (SOC2/HIPAA/HITRUST) into workflows, reduce incidents through better design, and mentor other engineers.

Lead and scale Sully.ai's multi-cloud platform by owning provisioning, reliability, and automated deployments. Implement GitOps and IaC, standardize developer tooling and CI/CD, optimize scalability and costs for AI workloads, and deliver measurable platform and engineering efficiency improvements.

Design, build, and operate Kubernetes-based compute orchestration and developer tooling. Deliver new compute capabilities, automate operations and observability, integrate AI into workflows, and partner with Security and Reliability to ensure platform scalability, performance, and incident response.

Own and evolve Fieldwire's cloud production infrastructure and tooling: design and automate SDLC and IaC, ensure reliability and security, lead incident response and observability, mentor engineers, and drive platform architecture and process improvements.

Design and deliver LLM-powered, agentic AI systems to automate customer support and compliance. Build scalable, secure backend infrastructure in Python and Go, integrate third-party models/APIs, implement grounding and guardrails, and measure performance. Lead end-to-end projects, mentor engineers, conduct code reviews, and participate in on-call and incident response to improve resolution times and reduce operational costs.

As a Senior Platform Engineer at Propel, you will improve cloud native platforms, manage Kubernetes and AWS applications, and enhance developer experience.

Build and evolve GoodShip's internal platform to improve developer experience, CI/CD, IaC, observability, data reliability, and automation. Partner with engineering teams to define SLIs/SLOs, implement monitoring and alerting, eliminate bottlenecks, and scale platform operations to enable fast, reliable software delivery.

Design and evolve distributed storage systems, create APIs for live migrations, and build storage primitives for various applications.

Design, optimize, and scale multi-GPU infrastructure for GenAI/LLM workloads. Perform GPU profiling and benchmarking, manage Slurm and Kubernetes/OpenShift clusters, enable NVIDIA GPU stack, build GenAI pipelines (fine-tuning, RAG, multi-modal), create IaC templates, and support production deployments and client engagements.

Design, implement, and operate scalable AWS cloud infrastructure and platform systems. Manage infrastructure as code (Terraform, CloudFormation), Kubernetes clusters, container build pipelines, CI/CD (GitHub Actions), and observability (Datadog). Improve deployment workflows, troubleshoot production issues, and partner with engineering teams to deliver reliable, automated platform capabilities.

Lead design and implementation of the PSA Liquidity Platform connecting buyers and sellers. Build buyer tooling, matching/ranking engines, and seller experiences. Architect and operate microservices and Kafka-driven systems on Kubernetes/AWS, instrument observability, apply AI tooling across the SDLC, and drive cross-functional delivery from 0-to-1 while owning end-to-end outcomes.

The Senior Platform Engineer designs and operates Kubernetes infrastructure, automates tasks, enforces platform standards, and collaborates across teams to improve engineering velocity and scalability.

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, run, and improve CI/CD systems and developer workflows for a Kubernetes-based polyglot monorepo. Build fast, reliable pipelines, local-to-prod developer paths, observability for builds, and partner with product teams to raise release quality and delivery velocity.

Design, build, and maintain scalable self-service data and ML platform tools and workflows. Mentor junior engineers, collaborate with cross-functional teams, implement monitoring/alerts, drive infrastructure improvements, integrate new technologies, and produce technical documentation to support reliable, scalable data products and pipelines.

Design, build, and manage scalable GCP cloud infrastructure, including compute, storage, networking, Kubernetes, monitoring, and IAM. Automate provisioning with Terraform, improve platform reliability, security, performance, and cost efficiency, and support disaster recovery. The role also documents infrastructure practices, collaborates across technical teams, and mentors junior engineers.

Responsible for building new products, updating existing offerings, leading projects, mentoring, and ensuring quality and alignment in technical implementation. Collaborate with teams to drive projects from ideation to production.

Design, build, and maintain scalable data pipelines, microservices, and cloud-native data platforms. Implement real-time and batch processing using Python/Java and AWS services, ensure data quality and automated testing, monitor production systems, collaborate with architects and stakeholders, and drive operational excellence and CI/CD deployment for large-scale distributed data environments.

Design, build, and maintain a scalable cloud platform using IaC and CI/CD. Lead DevOps/SRE practices, implement monitoring, security and compliance (SOC2/HIPAA/NIST), manage containers, troubleshoot infrastructure, and participate in on-call rotation while driving cross-team delivery.

Design, build, and maintain scalable cloud platform infrastructure; create IaC (Terraform/CloudFormation); develop CI/CD pipelines; implement monitoring, security (IAM, SIEM, firewalls) and compliance; troubleshoot and optimize performance; lead projects, collaborate cross-functionally, participate in on-call rotation, and leverage generative AI tools to improve delivery.

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.