Top Remote Platform Engineer Jobs

Lead development of scalable search-platform software focused on product-catalog relevance. Design lexical and semantic retrieval, hybrid ranking, reranking, and learning-to-rank systems; evaluate quality through offline metrics and online experiments. Partner with Data Science, Product, Analytics, and Architecture teams on embeddings, relevance measurement, and technical solutions. Maintain production systems, resolve issues, mentor engineers, conduct code reviews, and promote continuous delivery and engineering best practices.

Lead the technical vision and architectural evolution of Huntress’s Core Platform. Build complex Ruby on Rails features, solve scaling challenges, manage cross-team dependencies, drive architectural decisions, and oversee system lifecycle and technical risk. Mentor engineers, establish engineering excellence, collaborate with managers and product leaders, and help teams adopt AI coding tools responsibly.

Design, build, deploy, and maintain resilient, scalable backend services and platform components for Toast's Voice AI platform. Lead cross-cutting architecture and projects, integrate AI platforms (LLMs), implement observability and evaluation for AI systems, set engineering standards, and mentor engineers.

Administer and develop SharePoint and Power Platform solutions, including sites, forms, workflows, apps, reports, dashboards, migrations, and automations. Gather requirements, design and test solutions, troubleshoot issues, maintain documentation, provide technical support and user training, and communicate directly with clients. The role requires adherence to governance standards, independent testing, and delivery of customer-focused solutions.

Define and advance secure, scalable AWS cloud platform capabilities; modernize legacy infrastructure; establish reliability practices, observability, SLOs, incident response, and deployment standards; improve developer experience through automation and self-service tooling; and mentor engineers while influencing architecture and platform strategy.

Develop and deliver Power Apps, Power Automate, Power BI, data visualization, and Microsoft 365 solutions for an Army customer. Engage customers to define requirements, manage expectations, document technical solutions, conduct user acceptance testing, create training resources, and provide project status updates. Build model-driven and canvas applications, automate business processes, support data modeling and visualization, and maintain integrations across the Power Platform ecosystem.

Lead the development of foundational iOS platform systems, shared frameworks, developer tools, architecture standards, and multi-quarter migrations across Cash App and Square. Drive performance, reliability, security, testing, observability, release safety, and AI-assisted development practices. This hands-on individual contributor role influences multiple teams, develops technical leaders, and partners broadly to improve iOS engineering quality, productivity, and product outcomes.

Architects, deploys, and operates scalable data platform infrastructure supporting analytics. Responsibilities include administering Airflow and Superset, managing Terraform infrastructure, building CI/CD pipelines, enforcing security and compliance, developing DBT data models, cataloging assets in OpenMetadata, writing Python automation, and mentoring engineers. The role requires extensive infrastructure and data engineering experience across cloud platforms, containers, data security, and workflow orchestration.

Build and maintain production data ingestion, transformation, and pipeline systems for a governed federal data and AI platform. Develop data products, contribute to Terraform infrastructure and CI/CD, monitor quality and reliability, troubleshoot issues, and apply governance and access controls. Support data science and ML teams while operating within FedRAMP, NIST 800-171, and CUI requirements. Collaborate with engineers and document pipelines and processes.

Provide technical direction for GitLab Dedicated, a managed single-tenant SaaS platform. Lead architecture and transformation across resilience, failover, tenant orchestration, change management, automation, and platform integrations. Identify systemic reliability and scalability risks, establish reusable platform patterns, strengthen service ownership, and guide cross-team technical decisions. Mentor senior engineers and advance engineering excellence across the organization.

Design, develop, implement, and support healthcare interoperability solutions using FHIR, HL7, HAPI FHIR, Java, Spring Boot, and RESTful APIs. Develop FHIR profiles, implementation guidance, integrations, documentation, and validation processes. Support testing, troubleshooting, performance optimization, security, and production readiness while collaborating with technical teams, vendors, and healthcare partners. Provide technical leadership across complex federal healthcare modernization initiatives.

Designs, deploys, governs, and supports enterprise Databricks platforms across AWS Commercial and GovCloud environments. Responsibilities include Terraform-based workspace deployment, AWS networking, Unity Catalog administration, CI/CD automation, security and governance controls, platform monitoring, cost optimization, incident escalation, and stakeholder guidance. Requires extensive Databricks administration, AWS infrastructure, infrastructure-as-code, Python, Linux, and federal security environment experience.

Build and operate Helius’s bare-metal infrastructure platform. Responsibilities include automating server provisioning and lifecycle management, developing fleet tooling, standardizing CI/CD and deployment processes, implementing security controls, analyzing infrastructure costs, improving observability, participating in on-call response, and documenting operational procedures.

Design, build, and improve scalable backend systems that collect hard-to-access OSINT; build pipelines and ETL for messy data; collaborate with product and mission teams; mentor engineers and ensure reliable data delivery for DoD workflows.

Designs, develops, tests, and implements Microsoft Power Platform solutions for clients. Builds Power Apps using Dataverse, Power Automate, SharePoint, Excel, and Forms; creates Power BI analytics with Power Query and DAX; designs data models; integrates systems; modernizes legacy applications; troubleshoots and optimizes solutions; and communicates requirements, designs, progress, and documentation to clients and project teams.

Develop and strengthen a business-critical Windows platform spanning Active Directory, DNS, Kerberos, identity integration, golden images, patching, observability, PowerShell automation, infrastructure as code, PKI, cloud infrastructure, security, and disaster recovery. The role focuses on platform resiliency, recovery testing, migration from NTLM to Kerberos, Windows file services, certificate services, and automated infrastructure management in a hybrid environment.

Build and maintain workflow applications, relational data structures, data pipelines, SQL logic, REST integrations, dashboards, and reporting outputs for a federal health client. Translate user stories into functionality, perform testing and validation, support Agile delivery, documentation, code reviews, deployments, and compliance requirements. Collaborate with technical and business stakeholders in a remote environment, with occasional client travel.

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.

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 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.

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 operate a multi-cloud, multi-tenant platform for distributed LLM inference. Responsibilities include developing fault-tolerant services across cloud and hardware environments, improving observability and cold-start performance, and creating Helm charts and Kubernetes operators for scalable deployments. The role requires backend engineering, distributed systems, cloud infrastructure, Kubernetes, and machine learning experience.

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.