Top Remote Platform Engineer Jobs in Chicago, IL

The Platform Engineer will design, build, and optimize cloud and AI-driven automation solutions, focusing on Kubernetes and AWS services, ensuring systems are secure and scalable.

As a Platform Engineer IV, you'll manage and evolve the Kubernetes control plane, oversee observability stacks, and mentor engineers while ensuring operational excellence in the healthcare tech space.

As a Senior Full-Stack and Platform Software Engineer at mabl, you will develop features for an AI-powered test automation platform, enhancing user experiences, designing APIs, and optimizing data pipelines while collaborating with cross-functional teams.

The AI Platform Engineer will build infrastructure to evaluate and improve AI systems, focusing on observability, diagnostics, and enhancement of performance.

The Staff Platform Engineer will design scalable delivery systems, partner with teams to drive platform adoption, and implement CI/CD automation practices.

The Sr. Staff Data Platform Engineer will architect data infrastructure, manage data governance, lead engineering excellence, and mentor engineering teams. You will focus on building scalable data solutions and optimizing cloud workloads.

As a Senior Android Platform Engineer, you'll enhance CI/CD tooling, develop productivity tools, and improve Android application delivery, collaborating on architecture initiatives within a monorepo environment.

Design and build intelligent workflows for AI systems, lead engineering delivery for clients, and define best practices in a hands-on role.

The Senior Data Platform Engineer will manage AWS and Databricks environments, support ETL processes, and collaborate with data teams to optimize infrastructure and costs while ensuring security best practices.

The Cybersecurity Platform Engineer will build and maintain security platforms, automate processes, and collaborate with teams to enhance security operations.

The Network Engineer is responsible for implementing security practices in software development, managing compliance, designing secure CI/CD pipelines, and collaborating in a Scrum environment to enhance security within cloud infrastructure.

The Data Platform Engineer will build and maintain data pipelines, ensure compliance, develop analytics, and collaborate on a full stack product with a focus on healthcare data.

The Mission Support Engineer manages software deployments, provides technical support, develops training, and collaborates with teams to enhance customer success and processes.

The Cyber Range Platform Engineer will deploy and maintain Cyber Range infrastructure, improve deployment processes, and implement cloud-native applications.

As a Platform Engineer, you'll design and improve cloud infrastructure, manage systems, develop automation, and enhance monitoring and observability, collaborating across teams.

The Senior Data Architect will develop and maintain the core data infrastructure for health research, focusing on data pipelines, orchestration, and quality systems. Responsibilities include coding, data modeling, and supporting data ingestion and transformation processes.

Lead design and implementation of data platform solutions, optimizing for scalability and performance in cloud environments, collaborating with teams, and ensuring governance.

The Platform Engineer will manage cloud infrastructure, develop CI/CD pipelines, troubleshoot issues, and mentor developers using strong DevOps skills.

The Power Platform Developer will build applications, workflows, and integrations in the Microsoft 365 ecosystem, supporting government clients.

Seeking a Senior Backend Engineer to develop backend systems for a Native AI platform, focusing on API design, data integration, and production software systems using Python and Django.

The Platform Engineer SkillBridge intern will support the development and deployment of cybersecurity applications in a Kubernetes environment, contributing to product strategy and innovation while guiding junior engineers.

The Senior Platform Engineer will build developer tools, design CI/CD pipelines, enhance observability, and shape SRE practices to optimize workflows while ensuring security and reliability.

Lead the engineering team to design and implement scalable data solutions, enhance data integrations, and maintain high-quality code. You'll work on architecture frameworks, data pipelines, and play a key role in data product development.

The ML Platform Engineer will develop and scale ML infrastructure, automate workflows, and collaborate with data scientists to deploy models efficiently in production.

The Staff ML/AI Platform Engineer will design, prototype and deploy AI/ML models, optimize pipelines, mentor junior engineers, and collaborate closely with other teams to develop machine learning solutions.