Top Remote Platform Engineer Jobs

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.

Build and operate scalable ML infrastructure and platform capabilities across cloud and on-premises environments. Develop Python-based developer tooling, services, and production systems supporting experimentation, distributed training, model deployment, and operations. Lead complex initiatives from architecture through rollout, improve reliability and developer productivity, and partner with ML and infrastructure teams. The role emphasizes Kubernetes, AWS, distributed compute, GPU-intensive workloads, observability, and production excellence.

Design, develop, test, and maintain systems software for new hardware platforms. Responsibilities include platform bring-up, lifecycle management, hardware-software debugging, remote server management, RAS features, drivers, networking, storage, and automation. The engineer collaborates with hardware engineers, architects, operating system developers, and vendors while troubleshooting CPUs, chipsets, PCIe, NVMe, networking, BIOS, BMC, and firmware across Linux-based systems.

Architect the infrastructure powering Pinterest’s Generative AI and recommender systems at petabyte scale. Set the AI Platform’s technical vision and roadmap, lead cross-functional initiatives spanning data orchestration, model training, fine-tuning, evaluation, feature stores, and high-performance inference, and drive company-wide architecture decisions. Foster an inclusive engineering culture while maintaining high standards for quality, ownership, and accountability.

Architect and build production agentic AI systems for customer support and compliance automation. Lead technical direction for distributed systems, APIs, orchestration frameworks, guardrails, and evaluation systems. Create reusable automation primitives, improve grounding and reliability, reduce hallucinations, and mentor engineers on LLM application design and production readiness. Collaborate cross-functionally to scale AI automation across Coinbase.

Lead design, automation, and operation of a scalable, secure Linux platform across physical, virtual, and cloud environments. Build IaC, provisioning, patching, security hardening, and lifecycle automation. Deploy and operate cloud infrastructure, integrate hybrid environments, and collaborate with engineering teams to improve platform reliability and maintainability.

Design, develop, and maintain backend services and APIs for an AI-native health platform. Lead technical designs, ensure engineering excellence, manage release cycles, collaborate across teams, drive operational excellence, and support production monitoring, incident triage, and deployment readiness.

Design, develop, and architect enterprise applications using Microsoft Power Platform, including Power Apps, Power Automate, Power Pages, and Dataverse. Integrate enterprise data sources, build custom plugins and APIs, implement secure architectures, and establish ALM and deployment practices. Lead and mentor a team of developers, collaborate with stakeholders and technical teams, participate in Agile ceremonies, and present technical solutions.

Build and maintain cloud-native production platforms, automate infrastructure and software delivery, and bridge application and platform teams. Responsibilities include validating implementations, solving technical problems, developing components, estimating work, supporting Kubernetes environments, implementing security automation, and applying DevOps, CI/CD, GitOps, and infrastructure-as-code practices. The role requires collaboration across teams, independent execution, and occasional travel.

Lead design and implementation of secure, scalable policy and platform software across cloud and hybrid environments. Drive technical strategy, mentor senior engineers, influence architecture and standards, and collaborate across product and business teams to deliver long-term, reliable security solutions.

The Software Engineer will design, develop, and maintain APIs for backend services, focusing on scalability, performance, and B2B solution integration.

The Software Engineer will design, develop, and maintain backend services, focusing on APIs for payments, analytics, and text-to-speech functionalities while collaborating with cross-functional teams.

The Software Engineer will design, develop, and maintain robust backend APIs, enhance performance, and collaborate on B2B solutions while ensuring scalability requirements.

The Software Engineer will design and maintain APIs, oversee backend services, collaborate with teams, and implement efficient solutions for Speechify's products.

The Software Engineer will design, develop, and maintain backend APIs and services, oversee API landscape, and collaborate on B2B solutions for enterprise clients, ensuring alignment with product strategy.

The role involves designing and developing backend APIs, collaborating on B2B solutions, and optimizing performance and maintainability in a fast-paced, flat organization.

The Software Engineer will design, develop, and maintain robust backend APIs, oversee the API landscape, and collaborate on B2B solutions aligning with product strategy.

Design, develop, and maintain backend services including APIs for payments, subscriptions, and analytics, collaborating with cross-functional teams to align architecture with product strategy.