Top Remote Platform Engineer Jobs

Design, develop, test, deploy, and support enterprise Microsoft Power Platform solutions using Power Apps, Power Automate, Power BI, and Dataverse. Integrate solutions with Microsoft 365, SharePoint, Azure services, Azure SQL, and external data sources. Gather requirements, document solutions, perform testing, troubleshoot issues, and provide technical leadership on governance and the Power Platform Center of Excellence. Mentor developers and support ongoing platform enhancements.

Deploys and maintains UDS and Kubernetes platforms in secure bare-metal environments. Responsibilities include configuring GPU compute, storage, and networking; managing infrastructure as code; supporting secure software delivery; troubleshooting platform services; and collaborating with mission stakeholders and engineering teams. The role is remote in the United States and requires U.S. citizenship, with 15–25% travel.

Provides senior engineering support for enterprise infrastructure and ServiceNow-enabled platforms across hybrid cloud, compute, storage, networking, databases, and automation. Leads complex deployments, configuration, monitoring, troubleshooting, security remediation, architecture reviews, and technical workstreams. Uses Azure, PowerShell, Python, Terraform, SQL, and observability tools to improve reliability and scalability. Collaborates with cross-functional teams, supports compliance and change management, mentors engineers, contributes to strategic roadmaps, and participates in on-call support.

Designs and implements scalable, secure platform infrastructure across AWS, on-premises, and hybrid environments. Builds reusable Terraform modules, automation, CI/CD pipelines, and Policy as Code capabilities. Translates CMMC and enterprise security requirements into practical controls, including network segmentation, identity integration, logging, and monitoring. Partners with security and GRC teams, evaluates emerging technologies, mentors engineers, and drives platform standards through hands-on implementation.

Build and operate internal developer platforms, shared services, cloud infrastructure, delivery pipelines, and golden paths. Own reliability, security, observability, incident response, and cost optimization for production services. Shape platform architecture and engineering standards, advance AI-assisted software delivery, and mentor engineers across operating companies. The role is a hands-on principal individual contributor responsible for taking major platform capabilities from design through ongoing operation.

Designs and delivers large-scale, governed data pipelines and infrastructure across the full data lifecycle. Responsibilities include coding in Python and SQL, optimizing Airflow, dbt, AWS, Kafka, and Iceberg/Parquet workflows, implementing data quality and observability, contributing to architecture and tool evaluations, mentoring engineers, collaborating with stakeholders, and participating in on-call support.

Build and operate low-latency, reliable platform infrastructure for AI model evaluation, including APIs, AI gateways, streaming systems, serving layers, observability, authentication, rate limiting, usage metering, and audit logging. Integrate multiple LLM providers, handle failures and response normalization, support enterprise requirements, and contribute across backend evaluation and leaderboard platforms. This hands-on role requires strong Go expertise and experience with distributed systems or developer-facing infrastructure.

Build the core AI platform and high-performance Rust backend powering an AI-native trading copilot. Implement streaming responses, low-latency tool execution, caching, orchestration of models and tools, secure APIs, auditing/tracing, and safe, auditable trading action infrastructure. Partner with product and frontend to enable AI-native UX and translate trading domain requirements into resilient platform primitives.

Build and operate Radar's infrastructure and developer platform to support 1B API calls/day. Work on backend, SDKs, and data systems using TypeScript, Rust, Python, and Scala. Improve observability, automation, CI/CD, IAM, feature flags, and security; enable self-serve developer workflows; collaborate with SRE, data, QA, and customers; participate in on-call rotation.

Lead the architecture and implementation of a federal AI and data analytics platform across Azure Government and Azure Commercial environments. Responsibilities include Azure OpenAI and AI Foundry integration, cloud infrastructure, enterprise data platforms, secure cross-environment connectivity, identity and access management, API and microservices architecture, FedRAMP and ATO support, technical documentation, and coordination with cybersecurity, development, administrative, and government stakeholders.

Leads architecture and development of NVIDIA’s network visibility platform, integrating topology, configuration, telemetry, active measurement, change intelligence, and self-service tools. Builds authoritative network models, defines observability and measurement strategies, establishes data contracts and quality standards, and delivers health, path, and blast-radius insights. Drives cross-functional roadmaps, build-versus-buy decisions, operational tradeoffs, and technical mentorship across large-scale infrastructure systems.

Own the architecture, technical direction, reliability, and evolution of a shared cloud data platform. Lead hands-on development of streaming and batch pipelines using infrastructure-as-code, build governed analytical data products, and establish data contracts, quality, security, lineage, and observability standards. Serve as the final technical escalation point, mentor engineers, lead design and code reviews, promote responsible AI-assisted coding, respond to incidents, and communicate technical tradeoffs across stakeholders.

Provides Tier 1 production support for enterprise applications, point-of-sale systems, databases, ETL processes, SSIS packages, data loads, and related platform components. Responsibilities include incident triage, troubleshooting, monitoring, ticket documentation, dealer communication, escalation, deployment support, health checks, knowledge-base maintenance, and preventive problem analysis. The role collaborates with development, DevOps, database, and platform teams to resolve incidents and improve support processes.

Provides Tier 1 production support for enterprise applications, point-of-sale systems, databases, ETL jobs, and data integrations. Troubleshoots incidents using logs, metrics, traces, and SQL; monitors platform health; documents resolutions; communicates with dealers and internal stakeholders; escalates complex issues; supports testing, deployments, configuration changes, and preventive improvements. Maintains knowledge articles and helps users resolve common operational issues.

Designs, deploys, and operates production service mesh platforms, primarily Istio and Linkerd, across Kubernetes environments. Responsibilities include managing Envoy data planes, mTLS, PKI and certificate lifecycles, traffic policies, ingress, networking, observability, distributed tracing, troubleshooting, and mesh adoption. The role also develops Go or Python automation, supports multi-cluster deployments, and collaborates with application teams on secure, reliable service-to-service communication.

Own the ontology platform across ontology stewardship, reconciliation and validation rules, source-system connectors, data modeling, ETL/ELT pipelines, APIs, onboarding, and production operations. Translate business definitions into technical structures, maintain data quality and lineage, support users, troubleshoot incidents, and document platform processes. The role also requires hands-on use of AI coding agents to accelerate development and delivery.

Design, deploy, and maintain hybrid Windows, Linux, Azure, container, and cloud-native infrastructure. Manage remotely deployed Linux and Docker appliances, Azure DevOps CI/CD pipelines, Infrastructure-as-Code, configuration management, security hardening, monitoring, troubleshooting, and disaster recovery. Support software development teams with application debugging and release deployments, while providing limited internal support and participating in scheduled maintenance checks.

Build and operate multi-cloud infrastructure for MariaDB Cloud, designing application layers, APIs, cloud-native services, automation, and database-adjacent features. Own production capabilities end to end across AWS, Azure, and GCP using Terraform, Kubernetes, Docker, CI/CD, Python, and backend languages. Develop AI-enabled workflows involving vector databases, semantic search, RAG, and LLM agents while ensuring security, observability, scalability, and reliable deployment.

Designs and supports secure DevOps platforms, CI/CD pipelines, cloud infrastructure, container orchestration, infrastructure-as-code, observability, access controls, and automation. Troubleshoots production and deployment issues, maintains DevSecOps controls, supports operational governance, documents procedures, and collaborates with engineering, security, QA, architects, and leadership on platform evolution.

Lead technical pre-sales engagements for Microsoft cloud database and analytics products. Deliver PoCs, demos, hackathons, and architecture workshops; design secure, scalable solutions; resolve technical blockers; collaborate with engineering; and evangelize Fabric, Databricks, Purview and Azure database technologies to accelerate customer migrations and adoption.

Build and operate cloud-native platform infrastructure enabling AI agents in healthcare: safe CI/CD for agent capabilities, agent-focused observability, scalable infrastructure, automation, runbooks, and incident response.

Lead platform and developer experience initiatives that improve engineering velocity, reliability, and system performance. Build reusable Node.js, TypeScript, Nest.js, and React.js patterns; optimize PostgreSQL and Kafka systems; manage Kubernetes and ArgoCD deployments; modernize legacy code; improve CI/CD and observability; and mentor engineers. Translate ambiguous technical challenges into roadmaps, lead cross-team architecture work, and strengthen engineering practices through coaching, documentation, and workshops.

Lead the strategy, architecture, and operation of Chainguard’s database platform. Build production tooling and automated guardrails; improve replication, high availability, backups, disaster recovery, migrations, capacity planning, and global database resilience. Assess risks across existing systems, establish standards and governance, write production code, and lead cross-functional initiatives across engineering teams. The role requires deep PostgreSQL and MySQL expertise, cloud infrastructure experience, Linux and Go proficiency, and staff-level technical leadership.

Own long-term technical direction across multiple platform engineering teams. Influence architecture, write technical standards, coach engineers organization-wide, and solve cross-team problems. Stay hands-on through coding, prototyping, production debugging, incident response, and on-call ownership. Guide planning and sequencing with engineering managers and product, identify technical causes of organizational inefficiency, and make evidence-based decisions about what to build or stop building.

Own end-to-end system design, API contracts, technical direction, and cross-team delivery for platform engineering systems. Coach engineers through reviews and pairing while remaining hands-on with coding, operations, monitoring, incident response, and on-call responsibilities. Improve CI/CD, observability, testing, and documentation. Relevant domains include data engineering, automation, developer tooling, AI enablement, and product engineering.