Top Remote Platform Engineer Jobs

Lead enterprise data platform architecture across ingestion, storage, processing, governance, security, and consumption. Establish standards for data modeling, lakehouse and streaming patterns, pipelines, lineage, cataloging, disaster recovery, and cost optimization. Partner with engineering, ML, BI, product, and business teams; lead architecture reviews, major platform initiatives, and mentoring while producing architecture artifacts and guiding scalable, reliable data infrastructure.

Designs, administers, modernizes, and supports an Atlassian ecosystem comprising Jira, Jira Service Management, and Confluence. Responsibilities include requirements gathering, workflow and portal configuration, plugin management, Power BI and Elasticsearch integrations, Generative AI enhancements, documentation, performance improvements, and an Atlassian IL5 Cloud migration. Provides technical guidance, coordinates testing and training, and supports system sustainment in a government environment.

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.

Designs, builds, and operates secure, scalable platform infrastructure for industrial automation applications. Responsibilities include infrastructure provisioning, CI/CD, GitOps, Kubernetes, cloud and on-prem systems, observability, security, incident readiness, documentation, and on-call support. The role partners with R&D and Operations to improve developer tooling and maintain software-defined automation platforms.

Lead the design and operation of AWS and Kubernetes platforms, infrastructure automation, CI/CD, observability, security, and developer self-service capabilities. Drive cross-team platform initiatives, establish technical standards, improve reliability and operational practices, participate in incident response, mentor engineers, and guide architecture for regional and ephemeral environments.

Build and operate Kubernetes-based AI/ML infrastructure, including GPU scheduling, multi-tenant isolation, platform services, infrastructure as code, GitOps, CI/CD, observability, and reliability practices. Deploy reproducible platforms in cloud, restricted, and disconnected environments. Develop runbooks, support incident response, contribute to open-source infrastructure projects, and collaborate with security engineers and government stakeholders. The role requires production infrastructure experience, cloud expertise, programming skills, and eligibility for a U.S. security clearance.

Build API-first backend services for workflow orchestration, data ingestion, evaluation, and results management, along with analyst-facing web consoles. Implement identity federation, authentication, authorization, relational data models, automated testing, and CI pipelines. Create API documentation, SDK examples, reference implementations, notebooks, and integration resources. Collaborate with security, infrastructure, platform, and ML engineers while supporting external partners and Government users integrating with published interfaces.

Own cloud infrastructure, EKS, AWS systems, CI/CD pipelines, preview environments, observability, security, and compliance. Build developer tooling and internal applications, while leading AI adoption across Engineering through agent workflows and custom solutions. Support product analytics and data science pipelines, collaborate closely with internal stakeholders, and maintain platform reliability end to end.

Own Matter Health’s AI platform strategy, architecture, governance, budget, and operations. Design secure tools and integrations for deploying AI agents and workflows, including MCP and RPA integrations. Establish development standards, monitoring, reliability, and incident-response practices while partnering with engineering, security, compliance, clinical, and operational teams. Evaluate vendors and platform investments, guide internal builders, resolve complex technical issues, and measure business impact in a regulated healthcare environment.

Lead design, build, and deploy of large-scale data platforms for LLMs, RAG, and agentic AI systems. Hands-on coding, architecting fault-tolerant pipelines, establishing MLOps/DataOps best practices, mentoring engineers, and operationalizing research into production across Exabyte-scale distributed systems.

Build reusable backend platforms and developer-facing tooling for performance testing, analysis, reporting, and AI-assisted engineering workflows. Enable service teams to independently incorporate performance testing into development and CI workflows through self-service capabilities, documentation, templates, diagnostics, and guidance. Partner with engineering teams, influence adoption, generalize solutions, and provide expertise on complex performance challenges.

Build and maintain cloud infrastructure automation, software delivery pipelines, platform services, and developer tooling for Veeam’s FedRAMP-compliant SaaS product. Set technical direction across teams, lead architecture decisions, improve developer experience, mentor engineers, and collaborate with product, security, and compliance teams. The role emphasizes software engineering for infrastructure using Kubernetes, Go, Azure, infrastructure-as-code, containers, serverless services, and GitHub Actions.

Operate and improve reliable Azure Government platforms supporting AI applications, OIGChat, and enterprise data systems. Responsibilities include monitoring, observability, incident response, root-cause analysis, performance and cost optimization, capacity planning, disaster recovery, high availability, deployment readiness, and operational documentation. The role also supports Azure Databricks, data pipelines, AI model endpoints, secure government cloud environments, and mission-critical federal operations.

Designs, deploys, automates, and operates enterprise VMware virtualization, software-defined networking, and software-defined storage platforms across on-premises and hybrid cloud environments. Responsibilities include managing vSphere, vSAN, NSX, Aria, and Tanzu; capacity planning; disaster recovery; troubleshooting compute, network, and storage layers; and supporting migration and cloud-native initiatives.

Build, automate, and operate enterprise-scale data platforms using Databricks, Snowflake, Microsoft Fabric, Kubernetes, and cloud technologies. Responsibilities include Infrastructure as Code, CI/CD, GitOps, platform provisioning, reliability engineering, observability, security, governance, incident remediation, performance optimization, and FinOps. The role supports multi-environment deployments and self-service capabilities for data engineering and analytics teams.

Administers, optimizes, integrates, and governs the Atlassian ecosystem, including Jira, Confluence, JSM, and Bitbucket. Builds workflows, automations, integrations, reporting, and scalable platform solutions; performs upgrades, troubleshooting, documentation, disaster recovery testing, and operational handoffs. Collaborates with engineering, infrastructure, product, Agile delivery, and IT teams while applying Agile, DevOps, ITIL, and ITSM practices.

Develop and implement Microsoft Dynamics 365 and Power Platform case management solutions. Responsibilities include gathering requirements, designing architectures and integrations, developing customizations, supporting data migration, testing and deployment, creating technical documentation and prototypes, conducting client demonstrations, and mitigating technical risks. The role involves close collaboration with clients, architects, business analysts, and project leads, with travel to customer locations as needed.

Develop and implement enterprise Microsoft Dynamics 365 and Power Platform case management solutions. Responsibilities include gathering requirements, designing architectures, developing integrations and customizations, supporting data migration, testing and deployment, creating technical documentation, mitigating risks, and delivering client demonstrations. The role requires collaboration with clients, architects, project leads, and business analysts, as well as occasional travel to customer locations.

Design, develop, customize, integrate, test, and deploy Microsoft Dynamics 365 and Power Platform case management solutions. Gather technical requirements, create architectures and implementation plans, support data migration and custom code, conduct client demonstrations, document risks, and improve development and release processes. Collaborate with clients, architects, project leads, and business analysts while traveling to customer locations as needed.

Design, develop, and deploy Microsoft Dynamics 365 and Power Platform case management solutions. Responsibilities include requirements gathering, architecture, CRM customization, integrations, data migration, testing, technical documentation, client demonstrations, risk mitigation, and improving development and release processes.

Develop and implement enterprise Microsoft Dynamics 365 and Power Platform case management solutions. Responsibilities include gathering requirements, designing architectures, building integrations and customizations, managing data migration, testing and deployment, creating technical documentation, mitigating risks, and presenting solutions to clients. The role collaborates with project leads, architects, business analysts, and customers, with travel to customer locations as needed.

Performs vulnerability management, WordPress and dependency security, Linux hardening, security-focused code reviews, incident response support, SOC 2 evidence collection, and platform engineering. Maintains PHP and JavaScript applications, Ubuntu/Debian servers, nginx, DNS, certificates, MySQL, deployments, and automation scripts. The role requires hands-on WordPress and PHP expertise, web security fundamentals, Linux command-line skills, scripting, and U.S. work authorization without sponsorship.

Designs and builds industrial IoT platforms spanning factory-floor edge systems and enterprise cloud environments. Responsibilities include architecting edge data acquisition, secure connectivity, cloud ingestion, real-time analytics, and operational dashboards. The role requires programming, industrial protocol integration, cloud IoT platforms, edge runtimes, OT/IT integration, troubleshooting, code and design reviews, production delivery, and mentoring junior engineers.

Designs, deploys, and operates secure, scalable Microsoft Azure platforms. Responsibilities include infrastructure-as-code, automation, AKS administration, CI/CD, security hardening, identity management, observability, cost optimization, troubleshooting, and operational excellence. The engineer collaborates with development, security, and SRE teams to deliver reliable cloud-native production solutions. Hybrid or multi-cloud experience, FinOps knowledge, regulated-environment experience, and Azure certifications are preferred.

Designs, deploys, secures, and operates enterprise Red Hat OpenShift platforms across on-premises and cloud environments. Responsibilities include cluster lifecycle management, multi-tenancy, networking, storage, observability, CI/CD, disaster recovery, upgrades, security hardening, workload onboarding, developer enablement, platform optimization, and mentoring junior engineers.