Top Remote Platform Engineer Jobs

Lead Dynamics CRM/365 and Power Platform implementations: design and develop customizations, plugins and workflows (C#), integrate external systems, build Power Apps/Portals, perform code reviews, produce technical documentation, estimate effort, and advise on architecture and security for agency clients.

Lead platform architecture on commercial AWS: design VPC, managed Postgres, serverless, storage, IaC, CI/CD, observability, security and compliance (FedRAMP/HIPAA/SOC2/ITAR), portability for restricted environments, developer experience, on-call ownership and postmortems, and partner on handoffs to regulated deployments.

Join the Navy Certificate to Ship team as a Platform Engineer to design, build, and maintain cloud-native platform infrastructure and CI/CD pipelines. Advocate best practices between application and platform teams, implement infrastructure-as-code, manage Kubernetes clusters (EKS/RKE2), apply secure coding and vulnerability remediation, and mentor engineers while contributing to strategic platform vision.

Build and ship platform components (auth, connectors, APIs), own production support and on-call, debug incidents and write runbooks, deploy and iterate connectors to enterprise systems (SAP, Salesforce, Workday, ServiceNow), and enable customer deployments with tests and monitoring.

The Senior Fullstack Engineer will build and manage enterprise authentication systems, improve user session management, ensure security compliance, and support internal API usage across services, while enhancing performance and reliability.

Design, build, and operate the core data warehouse, ingestion, orchestration, and cataloging platform. Develop batch and streaming pipelines, ensure data quality, governance, observability, and provide ML data platform capabilities. Lead architecture, improve platform reliability and performance, and collaborate with product, engineering, data science, security, and compliance teams.

Develop foundational tools for AI productivity, operating infrastructure systems, enhancing security, compliance, and CI/CD processes, and resolving production issues.

As an AI Platform Backend Engineer, you'll design and deploy backend systems utilizing AI for real-world applications, optimize performance, and mentor junior engineers while working directly with clients to address complex challenges.

As an AI Platform Engineer, you will design and develop AI-driven backend solutions, optimize performance, and collaborate with customers and teams.

Operate and deploy UDS environments across cloud and on-prem Kubernetes clusters, build Infrastructure-as-Code packages, deliver customer onboarding and training, provide production troubleshooting and on-call support, and translate customer feedback into product and process improvements to scale delivery.

Lead architecture and scaling of the Databricks data warehouse and self-service data platform. Build reusable batch and streaming frameworks, enforce governance, SLOs, lineage, observability, CI/CD, and multi-tenancy. Mentor engineers, run design reviews, and ship documented patterns to enable analytics, data science, and app teams to move quickly without blocking on platform tickets.

Manage model registries, continuous training loops, and A/B testing infrastructure. Deploy agentic models as scalable microservices on Kubernetes and build observability dashboards to track token usage, latency, and agent reasoning paths. Maintain MLOps pipelines and ensure scalable, observable AI infrastructure.

Build and operate MLOps and agentic infrastructure: manage model registries, continuous training loops, and A/B testing; deploy agents as scalable Kubernetes microservices; and create observability dashboards tracking token usage, latency, and agent reasoning.

Provide Oracle Apps DBA and platform engineering support for Oracle E-Business Suite R12.2.x, Oracle Database 19c RAC, and Oracle Fusion Middleware/WebLogic across on‑premise and cloud/hybrid environments. Responsibilities include installation, upgrades, cloning, patching, backup/recovery, performance tuning, security hardening, automation, monitoring, vulnerability remediation, and 24x7 production support. Use approved AI tools to improve productivity and automation.

Design and scale GenAI/LLM infrastructure for multi-GPU environments. Perform GPU profiling and optimization, manage Slurm/OpenShift/Kubernetes clusters, enable NVIDIA GPU stack, build IaC templates, CI/CD automation, and support production deployments and client engagements for GenAI workloads.

Own and evolve a GCP-native data platform from ingestion to reporting. Lead architecture, reliability, observability, data quality, cost optimization, and AI-assisted engineering practices while mentoring engineers and collaborating with product and customer teams.

Lead a technical team to drive sales strategy for Cloudflare's Developer Platform, mentor architects, enhance product offerings, and collaborate with executives and departments.

The Staff Data Platform Software Engineer will design, improve, and maintain the Veza Access Graph system, focusing on performance, scalability, and collaborating on product features to enhance identity and access management experiences.

Lead design, build, and operate IDEXX internal developer platforms (AWS Organizations, GitHub Enterprise, Terraform Cloud, JFrog). Write production Python, drive architecture, mentor engineers, define standards, remove technical debt, and partner with internal teams to balance developer experience with security and compliance.

The Senior Software Platform Engineer will manage AWS infrastructure, streamline deployment processes, and support GPU clusters for quantum research, ensuring efficient simulations and system security.

As an AI/ML Platform Engineer, you will develop APIs, data pipelines, and workflows to support AI capabilities for scientific research, ensuring system reliability and scalability.

The role focuses on the engineering and modernization of a scientific software platform, emphasizing CI pipelines, packaging, and runtime hardening.

As a Staff Platform Engineer, you will guide the architecture of software for autonomous vehicles, manage technical standards, and support vehicle performance, while collaborating across teams and driving technical hiring.

Design, build, and maintain solutions across the Power Platform (Power Apps, Automate, Virtual Agents, BI, Dataverse). Integrate with Microsoft 365 and third-party systems, implement security and ALM practices, collaborate with stakeholders, and deliver high-quality solutions under tight deadlines.

Senior Windows-focused Platform Engineer responsible for administering Windows server environments, supporting IBM FileNet/DataCap/BAW/ICN applications, ensuring security and performance, implementing monitoring, troubleshooting production issues, documenting systems, and collaborating with internal teams and clients to improve platform stability and processes.