800 Platform Engineer jobs in United States available for remote work from home. Apply for positions such as Senior ServiceNow Platform Engineer, Senior Data & AI Platform Engineer, Staff Platform Engineer and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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You will design, build, and operate enterprise-grade ServiceNow capabilities while managing platform stability and strategic automation initiatives. Additionally, you will lead the team's Agile backlog, provide technical governance, and present platform metrics to IT management.
Design and build a consolidated data platform across Snowflake and other sources to support internal and customer-facing applications. Develop reliable data pipelines and establish data standards to ensure data is fast, trustworthy, and ready for AI agents.
You will serve as the senior technical owner of the infrastructure, managing GKE clusters and Terraform while designing self-service platforms for developers. Additionally, you will define SLOs, mentor engineering staff, and drive continuous improvements in incident response and operational readiness.
The Platform Engineer 3 designs strategic, tailored solutions to meet client requests and provides advanced level 3 and 4 server production support. They are responsible for identifying problems, documenting tickets, and acting as an informal leader for tactical technical issues.
You will ensure the resilience, performance, and security of the enterprise Cloud Platform by implementing reliability principles and automation. The role involves leading incident triage, performing root cause analysis, and mentoring junior engineers to improve system stability.
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The Principal Platform Engineer will lead high-priority initiatives to accelerate platform delivery and establish engineering best practices across the organization. This role involves building reusable platform capabilities, improving operational excellence, and mentoring senior engineers to enhance developer productivity.
The Staff Platform Engineer will design and govern internal enterprise platforms to improve delivery speed, deployment safety, and operational reliability. They will also architect automated test suites, CI/CD pipelines, and self-service tools to support cross-functional teams and government stakeholders.
The Lead Platform Engineer will architect and sustain a Software Factory capability for the US Space Force using Azure and Kubernetes. Responsibilities include directing DevSecOps automation, managing CI/CD pipelines, and providing technical leadership to engineering teams.
The Container Platform Engineer will architect, provision, and operate enterprise-grade Red Hat OpenShift clusters across on-premises and cloud environments. They will also manage the end-to-end platform lifecycle, including cluster hardening, workload onboarding, and developer enablement.
The role involves designing, building, and operating large-scale production Kubernetes infrastructure while maintaining high availability and reliability. You will also develop automation tools and lead incident response efforts to ensure the operational health of critical systems.
The Senior Database Platform Engineer will architect, automate, and maintain secure, scalable database platforms while collaborating with business and technology teams. They are responsible for establishing best practices in code quality, deployment, and infrastructure management.
The role involves architecting and maintaining serverless cloud infrastructure on GCP using Terraform and building resilient API integrations between enterprise systems. You will also manage CI/CD pipelines, ensure platform reliability through observability, and lead the migration of legacy applications to modern cloud environments.
The engineer will support and enhance enterprise DevSecOps platforms, including GitHub, Jenkins, and Sonatype products on AWS-hosted infrastructure. Responsibilities include troubleshooting, platform maintenance, automation development, and remediating security and operational issues.
Design and scale backend services, data pipelines, and AI-powered infrastructure to support manufacturing supply chain workflows. Manage system observability, incident response, and the integration of intelligent agents and third-party APIs.
The Collibra Platform Engineer will administer, configure, and maintain the enterprise data governance platform across multiple environments. This role involves supporting metadata harvesting, data lineage, workflow development, and managing integrations using REST APIs and microservices.
The Senior Platform Engineer will design, build, and operate the Azure platform for AI and data workloads, including landing zones, data platforms, and AI runtime services. They will own the end-to-end implementation using Terraform and CI/CD pipelines while collaborating with architecture and security teams.
You will design, build, and evolve the data platform infrastructure, backend services, and data pipelines to support analytics and AI-powered products. Additionally, you will manage data movement between cloud environments, ensure system reliability, and mentor other engineers to maintain high technical standards.
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The role involves leading the data engineering team and defining the strategy, architecture, and roadmap for enterprise data, analytics, and BI platforms. You will partner with executive stakeholders to implement scalable cloud-based data solutions and integrate AI-powered capabilities.
The Azure Platform Engineer will design, deploy, and operate large-scale, secure, and resilient cloud platforms on Microsoft Azure. Responsibilities include managing the end-to-end cloud engineering lifecycle, including infrastructure-as-code, automation, security hardening, and observability.
Architect end-to-end IIoT solutions including edge data acquisition, secure connectivity, and cloud ingestion. Collaborate with cross-functional teams to translate requirements into scalable production systems while mentoring junior engineers.
You will design, build, and maintain the production infrastructure for a high-scale PaaS environment. You will also collaborate across the organization to set standards for production systems and participate in incident management.
The Principal AI Platform Engineer will design and implement enterprise-scale Generative AI solutions, including RAG frameworks and agent-based architectures. This role involves establishing engineering standards, mentoring technical teams, and driving the adoption of responsible AI practices across the organization.
The Performance Tester / Platform Engineer will design and maintain automated performance testing frameworks integrated into CI/CD pipelines for cloud-native applications. They will also conduct load, stress, and scalability testing while collaborating with cross-functional teams to identify performance bottlenecks and optimize system behavior.
The candidate will administer and deploy Teamcenter PLM environments while managing containerized deployment patterns on Kubernetes and OpenShift. They will also develop and maintain CI/CD pipelines to automate build, test, and deployment activities across the infrastructure.
Design and implement security controls, automation, and guardrails across hybrid and multi-cloud environments to reduce systemic risk. Collaborate with engineering teams to embed security into CI/CD pipelines and respond to security incidents as an escalation point.
The Security Engineer will design and implement security controls across hybrid and multi-cloud environments while building automation to scale security operations. They will also partner with cross-functional teams to embed security into CI/CD pipelines and manage incident response activities.
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The engineer will architect, deploy, and manage production OpenShift clusters while automating platform operations and ensuring high reliability. They will also lead complex technical initiatives, mentor team members, and collaborate across departments to deliver secure, scalable infrastructure solutions.
The candidate will administer and deploy Teamcenter PLM environments while managing containerized deployment patterns on Kubernetes and OpenShift. They will also develop and maintain CI/CD pipelines to automate build, test, and deployment activities across the infrastructure.
The Principal Kubernetes Platform Engineer will own and operate AWS EKS clusters while actively designing, coding, and validating core platform capabilities. They will lead technical strategy, mentor engineers, and ensure platform security and compliance across the Decision Management Platform.
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