Top Remote Platform Engineer Jobs

Own and improve Dropbox’s Windows endpoint platform, including provisioning, application delivery, patching, compliance, security configuration, troubleshooting, fleet health, and automation. Build code-managed endpoint operations using Intune, FleetDM, osquery, infrastructure-as-code, and GitOps practices. Lead cross-functional improvements, establish reliable deployment workflows, mentor engineers, review code and designs, and document reusable operational practices.

Designs, operates, and improves secure, reliable cloud identity platforms using Microsoft Entra ID, Entra External ID, and Azure. Responsibilities include identity integrations, access controls, SRE practices, observability, incident response, infrastructure automation, infrastructure as code, disaster recovery, and reliability engineering. The role partners with cybersecurity, infrastructure, application, privacy, compliance, and product teams while documenting operational processes and reducing manual toil.

Build and operate production AI agents, agentic workflows, MCP servers, and CX applications. Develop Python and TypeScript services, AWS infrastructure, integrations, testing, observability, security controls, and CI/CD pipelines. Partner with Customer Success and other CX teams to prototype solutions, translate workflows into technical plans, and deliver reusable platforms. Mentor engineers and non-engineers, document systems, establish governance, and support reliable handoff and shared ownership.

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.

Build a high-performance frontend data platform for exploring and analyzing hardware telemetry. Develop React and TypeScript applications, interactive time-series visualizations, data visualization plugins, complex application state management, and LLM-assisted analysis workflows. Collaborate directly with hardware engineers and customers to define interfaces, prototype workflows, demonstrate features, and incorporate feedback into product development.

Lead the design and development of secure, scalable, high-throughput payment platform services. Build payment orchestration, fraud and risk capabilities, multi-provider integrations, and global bill payment products. Contribute hands-on to production code and proofs of concept, establish technical direction, mentor engineers, collaborate cross-functionally, and promote AI tools that improve engineering productivity.

Lead operational reliability and platform enablement for Databricks: build monitoring, CI/CD, deployment standards, compute and job policies, observability, runbooks, and governance to support secure, cost-aware, production data workloads across regulated environments. Mentor engineers and align platform with cloud/infrastructure and compliance requirements.

Volunteer senior developer to design, build, and maintain a cross-platform medical scheduling app (web, iOS, Android). Participate across the full development lifecycle: design, coding, testing, CI, deployments, code reviews, production support, incident management, and platform architecture. Attend weekly standups and commit at least four hours per week.

Design, deploy, secure, automate, and operate enterprise MongoDB platforms across on-premises infrastructure and MongoDB Atlas. Responsibilities include replica sets, sharding, high availability, disaster recovery, backup and recovery, performance tuning, monitoring, security controls, migrations, incident response, and lifecycle management. The role partners with application, cloud, infrastructure, security, and SRE teams; develops operational standards and automation; supports mission-critical environments; and provides technical leadership and mentorship.

Build and maintain production data pipelines, transformations, governed data products, and cloud data infrastructure for a federal background investigation platform. Develop Python and SQL workflows, contribute to Terraform and CI/CD, monitor data quality and reliability, support data science and ML teams, and operate within FedRAMP, NIST 800-171, and CUI requirements. Collaborate with engineering teams, troubleshoot platform issues, and document processes in a highly regulated environment.

Own and scale the AI research data platform, including ingestion, processing, governance, versioning, lineage, quality, observability, and export for multimodal datasets. Build Databricks and distributed processing infrastructure, synthetic data generation pipelines, and self-service tools for ML researchers. Partner with security and compliance teams, mentor engineers, manage infrastructure automation, and establish the long-term platform roadmap.

Supports cloud infrastructure design, maintenance, monitoring, and automation. Assists with infrastructure as code, CI/CD pipelines, observability, patching, incident response, disaster recovery, security controls, cost optimization, and platform support. Contributes to runbooks, root-cause analysis, documentation, Agile delivery, code reviews, and Tier 2 on-call support while collaborating with development, operations, and security teams.

Owns deployment, lifecycle management, and evolution of a multi-prem platform across cloud, bare-metal, air-gapped, and regulated environments. Builds infrastructure-as-code and secure CI/CD pipelines, maintains Kubernetes clusters and observability systems, aligns SaaS and customer-hosted releases, and supports incident response and upgrades. The role also contributes to platform architecture, deployment documentation, compliance workflows, and secure operations across classified and government environments.

Owns an Agentic AI platform across CI/CD, AWS infrastructure, Kubernetes operations, observability, security, and runtime reliability. Builds delivery pipelines, automated testing and quality gates, EKS environments, infrastructure-as-code, monitoring and alerting, synthetic health checks, and runtime security testing. The role requires strong operational ownership, troubleshooting, secure supply-chain practices, audit readiness, and platform resilience in regulated or mission-focused environments.

Own the architecture and reliability of a mobile-first crypto trading and social platform. Build the data layer, rewards and accounting systems, notifications, APIs, trading integrations, cross-chain balance abstraction, resilient caching, and high-performance data delivery. Ensure idempotency, replay safety, PostgreSQL optimization, graceful degradation, and continuous uptime during extreme market volatility. Work independently in a remote, asynchronous environment while scaling infrastructure from zero to massive trading volumes.

Own the architecture and long-term evolution of hybrid, multi-tenant AI compute platforms across bare-metal OpenShift and public-cloud services. Define distributed training networking, GPU utilization and cost models, GitOps governance, model-serving standards, workload placement, identity and security controls, SLOs, disaster recovery, and platform upgrade strategies. Partner with AI, privacy, and security teams to deliver HIPAA-compliant infrastructure for training and inference workloads.

Own the architecture and hands-on development of an internal AI-assisted software development platform. Lead infrastructure, Kubernetes, Terraform-based environments, CI/CD, cloud security, observability, compliance automation, developer experience, and AI coding-tool sandboxing. Establish tenant isolation, identity, networking, governance gates, cost tracking, and reliability practices. Provide architecture leadership, mentor engineers and vendors, advise executives, and travel to clients as required.

Supports platform implementation, maintenance, provisioning, configuration, upgrades, patching, monitoring, automation, troubleshooting, incident management, and documentation under experienced engineers. Collaborates with technology teams, vendors, and business partners while learning cloud platforms, infrastructure as code, CI/CD, containers, Linux, scripting, networking, and operational controls.

Lead developer platform engineering across GitLab, CI/CD, progressive delivery, cloud infrastructure, and release safety. Design and operate pipeline orchestration using Argo Rollouts and Kargo, support connector deployments, improve FinOps and developer insights, and establish safe rollback, recovery, and database change practices. Build self-service tooling, drive adoption, mentor engineers, and collaborate with Staff Engineers and architects across distributed teams.

Designs, implements, and maintains secure, scalable technology platforms across cloud, infrastructure, applications, data, and developer tooling. Builds CI/CD pipelines, Terraform automation, containerized services, Kubernetes workloads, and GitOps workflows. Monitors performance, troubleshoots incidents, supports root-cause analysis, manages access controls, and maintains compliance and configuration records. Partners with engineering and business teams to improve reliability, observability, security, and operational efficiency.

Build and launch scalable fullstack web applications and APIs for Affirm’s Ads Platform. Collaborate with product, design, analytics, and engineering partners to break projects into deliverable phases, make technical trade-offs, write tested and extensible code, monitor service metrics, support on-call operations, review code, and participate in team development and interviews.

Lead the AI Quality engineering team while remaining hands-on building evaluation infrastructure, observability tooling, diagnostic systems, datasets, annotation workflows, and CI/CD pipelines for production AI agents. Run experiments across prompts, models, routing, caching, and agent harnesses to improve quality, latency, and cost. Partner with AI Core engineering and manage technical direction and team priorities.

Build and extend SAP Commerce Cloud backend extensions, integrations, APIs, and platform capabilities for multiple brands and storefronts. Diagnose production issues independently using logs, traces, and Dynatrace, tracing problems across storefront, service, persistence, and integration layers. Contribute to architecture, code reviews, documentation, estimation, Agile delivery, testing, feature flagging, and resilient error handling.

Designs and manages cloud infrastructure platforms using infrastructure as code, Kubernetes, CI/CD, and multi-cloud technologies. Responsibilities include improving developer experience and DevSecOps maturity, troubleshooting and optimizing platform reliability, implementing zero-downtime maintenance, automating processes, integrating security controls, documenting technical systems, and mentoring engineers. The role also drives scalability, cost optimization, availability, and continuous delivery across Reltio’s cloud services.

Designs, integrates, and delivers scalable production software and cloud solutions supporting data, AI, and machine learning capabilities. Responsibilities include API and SDK integration, generative AI, AIOps, GenOps, MLOps, CI/CD automation, system observability, testing, documentation, cross-functional technical coordination, and mentoring developing engineers.