Top Remote Platform Engineer Jobs

The role involves designing, developing, and maintaining backend APIs, optimizing performance, and collaborating with cross-functional teams to align backend architecture with product strategy.

The software engineer will design, develop, and maintain robust backend APIs, collaborate on B2B solutions, and optimize backend architecture.

The Software Engineer, Platform role involves developing and maintaining backend services, designing APIs, and collaborating on B2B solutions while ensuring optimal performance and scalability.

Build and operate data-intensive web products and APIs, extend high-throughput ETL pipelines and scrapers, ensure reliability/observability, design self-scaling services, participate in code review, and collaborate across product, data, and infrastructure teams to meet production SLAs.

Build and own LangChain’s React component library and design system. Develop accessible, reusable UI components; translate design tokens and interaction patterns into code; create tooling for theming, versioning, testing, visual regression, and component discovery; and optimize build performance, bundling, dependency management, and package versioning. Collaborate closely with designers, product engineers, and platform teams to maintain a consistent, high-quality frontend foundation.

Build and evolve AWS platform infrastructure, Terraform and Pulumi automation, internal developer tooling, TypeScript libraries, CI/CD pipelines, and ephemeral environments. Improve reliability through SLOs, error budgets, observability, autoscaling, and incident response while addressing performance challenges across Aurora PostgreSQL and distributed services. Partner with product engineers, document complex systems, and raise engineering standards.

Design and deliver LLM-powered, agentic AI systems to automate customer support and compliance. Build scalable, secure backend infrastructure in Python and Go, integrate third-party models/APIs, implement grounding and guardrails, and measure performance. Lead end-to-end projects, mentor engineers, conduct code reviews, and participate in on-call and incident response to improve resolution times and reduce operational costs.

Manage AWS cloud infrastructure, CI/CD pipelines, Terraform-based infrastructure, containers, monitoring, and operational automation. Administer Microsoft 365, Entra ID, Intune, Windows, and macOS devices. Support onboarding, offboarding, remote technical issues, identity and access management, IT assets, documentation, security standards, and incident troubleshooting while collaborating with engineering, security, operations, and vendors.

Build and maintain internal platforms and tooling for AI engineers, including React and Next.js dashboards, Python backend services, REST APIs, model deployment automation, observability integrations, and ML pipeline testing. Partner with engineering and ML teams to improve developer experience, production AI reliability, and self-service workflows while documenting systems and runbooks.

The Lead Data Platform Engineer will design and build Virtuous's data platform, ensuring it is secure, scalable, and AI-ready. Responsibilities include architecting access controls, optimizing performance, and enabling self-service analytics while maintaining governance and compliance standards.

The Staff Platform Engineer will lead the architecture, development, and scaling of API-based transaction processing systems, ensuring reliability and performance while mentoring other engineers.

Own and operationalize AMC's WordPress platform (AWS/PHP), improve performance, security, CI/CD, and integrations (Salesforce, Shopify, Click & Pledge). Architect a headless CMS future state, define content models, APIs, migration roadmap, platform governance, SLAs, and monitoring while partnering with Marketing, Data, and Salesforce teams.

Engineer and support a highly available customer identity platform on Azure AD B2C. Design, develop, deploy, and maintain IAM features, custom policies, monitoring, documentation, and 24/7 operations. Collaborate with security, application, and business teams; use Agile delivery and automated pipelines; write maintainable code integrating with Azure APIs.

The Platform Engineer SkillBridge intern will support the development and deployment of cybersecurity applications in a Kubernetes environment, contributing to product strategy and innovation while guiding junior engineers.

The Senior Platform & Infrastructure Engineer will enhance reliability, develop release pipelines, manage cloud infrastructure, improve security compliance, and support product engineering teams, while fostering a culture of operational excellence.

Design and develop robust, scalable software for a cloud-based AI platform. Collaborate with teams, improve platform functionality, and evaluate new technologies.

Manage and evolve enterprise-scale API Gateway integration platforms, implement IAC and AWS-based infrastructure, ensure observability and reliability, mentor engineers, lead platform enhancements, drive SRE practices (SLOs/SLIs), perform debugging/testing, and produce operational documentation.

Own and operate end-to-end billing across consumer and B2B: seats, usage, cost centers, bundling, international pricing and payments. Reconcile state across RevenueCat, Stripe, Sequence, enable rapid SKU/pricing rollout, build robust testing, and expand enterprise billing features and global payment coverage.

As a Senior Atlassian Platform Engineer, you will administer and support Jira and Confluence platforms, automate tasks, troubleshoot issues, and collaborate with various teams to enhance performance and stability.

Lead design and implementation of the PSA Liquidity Platform connecting buyers and sellers. Build buyer tooling, matching/ranking engines, and seller experiences. Architect and operate microservices and Kafka-driven systems on Kubernetes/AWS, instrument observability, apply AI tooling across the SDLC, and drive cross-functional delivery from 0-to-1 while owning end-to-end outcomes.

Design, develop, test, implement, and support enterprise software solutions using Microsoft SharePoint, Power Platform, and Copilot Studio. Collaborate with stakeholders and technical teams to automate business processes, configure low-code applications, demonstrate solutions, follow development standards, perform quality and security testing, and provide application maintenance and support. The role also involves learning emerging technologies, leveraging AI capabilities, and contributing to agile development practices.

Own and optimize IBM Spectrum LSF scheduling across 15–25 federated cells. Diagnose scheduler latency, MultiCluster forwarding and cross-cluster contention, design scalable cell topology, and encode scheduler policy through infrastructure as code. Partner with CAD and methodology teams on large-scale EDA workloads, license constraints, and tape-out bursts. Requires deep LSF internals expertise, production MultiCluster experience, strong Linux fundamentals, and Python, Perl, and shell scripting skills.

Own the technical vision and architecture of Faire’s machine learning platform, spanning training, inference, feature management, governance, MLOps, experimentation, and observability. Lead adoption of Databricks, Unity Catalog, Spark, Delta Lake, and MLflow; optimize platform scalability, reliability, and cost; advise data science and engineering teams; influence cross-functional architecture; mentor ML engineers; and integrate emerging AI productivity tools.

Build and modernize SBGrid’s scientific software platform across Linux and macOS. Responsibilities include designing CI/CD pipelines, developing automated tests, creating reproducible packages and deterministic builds, tracking dependencies and artifacts, hardening runtime systems, improving observability, and strengthening software supply-chain integrity. The role involves substantial platform engineering and development work, with opportunities to support HPC, containers, infrastructure automation, and scientific research software ecosystems.

The Software Engineer will design and maintain backend APIs, collaborate on B2B solutions, and optimize services for performance and scalability in a distributed environment.