Top Remote Platform Engineer Jobs

The Principal Data Platform Engineer leads the architecture and delivery of data platforms using Databricks, focusing on data pipeline design and client relationships.

Design, develop, and maintain Power Platform solutions (Power BI, Power Apps, Power Automate) and SharePoint Online artifacts. Elicit and document government requirements, build dashboards, apps, forms, and workflows, integrate external data sources, test/debug solutions, and optimize performance to meet government stakeholder needs.

Design, develop, and maintain Halo ITSM workflows, automations, integrations, service catalog, CMDB/asset management, reporting, and self-service portal improvements. Troubleshoot integrations, support platform upgrades, create documentation, and collaborate across IT and business teams to implement ITIL-aligned service management solutions.

Build and maintain a self-service AWS application delivery platform. Design Jenkins shared libraries and Declarative/Scripted pipelines with Groovy. Create Terraform modules and state management for ECS Fargate, S3, SQS, Lambda, IAM, VPC. Define YAML application contracts, implement promotion workflows, approvals, and environment separation. Partner with developers, security, and operations to standardize build/test/deploy, improve reliability, observability, security, and onboarding documentation.

Lead design and build of core infrastructure for enterprise ML: model evaluation/deployment, inference/serving, data storage/retrieval, and production deployment of large-scale reasoning agents. Work with enterprise customers, integrate on-prem systems, and mentor scientists to adopt strong engineering practices and reliability-focused ownership.

Design, build, and operate governed multi-account AWS platform capabilities: account vending, federated identity, SCP guardrails, reusable IaC modules (Terraform/CloudFormation/CDK), Git-based CI/CD promotion pipelines, centralized logging, cost controls, and automated lifecycle management for accounts and environments.

As a Senior Software Engineer on the Logistics Platform team, you will enhance logistics systems by building APIs, improving data quality, and partnering with cross-functional teams to solve complex problems, ultimately improving user experiences and operational outcomes.

The DevOps Engineer III enhances software infrastructure for unmanned aircraft systems, focusing on backend integrations, frontend development, CI/CD pipelines, and system monitoring, collaborating with engineering teams.

Design and deliver scalable, reliable data services and microservices for real-time and batch processing. Build REST APIs, model data across SQL/NoSQL stores, drive data quality, own deployment/monitoring/incident response, set technical standards, and mentor engineers.

As a Senior Platform Engineer, you will design, implement, and maintain data models and infrastructure while improving data quality and scalability. You'll collaborate across teams and mentor fellow engineers to enhance data usability and reliability.

The Power Platform Engineer designs and implements solutions using Microsoft Power Platform tools, integrates with Azure services, leads development phases, ensures quality, and provides ongoing support.

The Principal DevOps Engineer at Liatrio will lead engineering delivery, enhance team morale, engage with clients as a trusted advisor, and oversee project execution while coaching team members.

Design, build, and operate a next-generation CDP/messaging platform at scale. Define infra topology, scaling, blast-radius limits, and safety guardrails for AI agents. Own reliability, capacity, cost, security boundaries, incident leadership, and author self-verifying runbooks and checks so automation can operate safely.

Lead endpoint and IT operations across global offices and remote field sites: design zero-touch provisioning, manage Jamf/Intune policies, build fleet monitoring, own software procurement and license optimization, administer Okta and Google Workspace, automate onboarding/offboarding, supervise IT support staff, and collaborate with security, infrastructure, legal, and finance to run reliable, compliant IT for distributed exploration teams.

Own and evolve the robotics platform layer across drone and MHE products: ROS2/Zenoh communications, Docker-based deployments, diagnostics and observability tooling, deployment processes, and a roadmap to converge platforms while supporting multiple autonomy pods.

Design, implement, and maintain cloud-native NICE CXone contact center solutions, build API-based integrations, develop CXone Studio scripts, perform unit/system testing, lead stakeholder discovery, present technical solutions, and uphold development and operational best practices.

Builds and operates the platform: deploy and run containerized services on Kubernetes, contribute to Go control-plane code, manage PostgreSQL and secrets, maintain observability with Grafana/Prometheus, write automation and tooling, participate in incident response and on-call, and support developer enablement and production launches.

The Staff Engineer, Quality Platform will establish quality metrics, standards, and tooling while partnering with engineering teams to embed quality processes and foster a quality-driven culture across the organization.

Build, operate, and extend data platform and application-layer services enabling secure, self-service data applications at scale. Implement provisioning, CI/CD, access control, integrations, observability, automation, and incident response while contributing to semantic layer and AI-ready tooling roadmaps.

Design and implement AI/ML platforms, establish secure connectivity, build CI/CD pipelines, integrate conversational AI, and ensure security compliance in insurance processes.

The Staff Platform Engineer will lead the design and operation of ad-serving platforms, ensure reliability, and mentor teams while implementing automation and observability practices.

The role involves architecting scalable backend systems for real-time evaluations, integrating with streaming data, and building intervention layers for AI applications. You'll design frameworks and operationalize vector databases while ensuring low-latency service performance.

Lead engineering, modernization, implementation, and support of enterprise API Gateway platforms for a large federal environment. Implement/administer API gateways across hybrid cloud and on-premises, ensure API security (OAuth2, OIDC, JWT, TLS), support REST APIs and enterprise integration, provide production support, and drive infrastructure modernization using container/Kubernetes/OpenShift and CI tools.

Design, build, and operate large-scale on-prem Kubernetes platforms (OpenShift/Anthos) for AI/ML and GPU workloads. Own control plane and etcd lifecycle, build controllers/operators in Go, automate via IaC, improve observability and resource utilization, enable ML training/inference/LLM deployments, participate in on-call incident response, and mentor engineers.

Own and scale the Nx-based monorepo, build system, and CI/CD to make builds, tests, and developer workflows fast, reliable, and observable. Build developer tooling, local dev stacks, and production-grade developer infra with SLOs, on-call, and measurable DX improvements.