Top Remote Platform Engineer Jobs

Lead engineering, modernization, implementation, and support of enterprise API Gateway platforms for a large federal environment. Implement/administer API gateways across hybrid cloud and on-premises, ensure API security (OAuth2, OIDC, JWT, TLS), support REST APIs and enterprise integration, provide production support, and drive infrastructure modernization using container/Kubernetes/OpenShift and CI tools.

The role involves architecting scalable backend systems for real-time evaluations, integrating with streaming data, and building intervention layers for AI applications. You'll design frameworks and operationalize vector databases while ensuring low-latency service performance.

Own and improve approximately 150 RESTful performance-data integrations supporting Teamworks’ Athlete Management System. Maintain C#/.NET integrations, investigate vendor API issues, strengthen reliability, resilience, observability, documentation, and security, and provide on-call support. Lead migration of integrations to Python and a modern lakehouse architecture deployed in AWS, including environments supporting military customers.

Lead the architecture and development of Root’s machine learning platform for insurance pricing. Build infrastructure for feature pipelines and stores, reproducible training and orchestration, model registries, serving, validation, observability, and research-to-production workflows. Establish versioned contracts and technical standards, automate workflows using LLMs, write and review critical code, influence cross-team strategy, and mentor senior engineers. Collaborate closely with data scientists and researchers to create scalable, reliable, and reproducible ML capabilities.

Lead the technical strategy and architecture for a scalable clinical data platform. Drive cross-team engineering initiatives, redesign legacy data pipelines, build batch and streaming systems, develop deployment and self-service tooling, improve monitoring, manage data models and governance, ensure privacy and security, and mentor engineers. Partner with product, AI, infrastructure, health systems integration, and business intelligence teams to deliver reliable, extensible data capabilities.

Operate and scale production LLM and AI agent platforms across the enterprise. Build evaluation frameworks, observability, deployment safeguards, cost optimization, and governance capabilities. Partner with business and technology leaders to identify high-value AI opportunities, design future-state workflows, define requirements and success metrics, guide implementation, and drive adoption. Ensure AI solutions are reliable, measurable, compliant, and integrated into everyday operations.

Design, develop, and optimize platform-level embedded software and reusable frameworks for telecom products (including 5G). Collaborate across systems teams, perform architecture and code reviews, support integrations with customers/partners, and mentor engineers while ensuring performance, scalability, and reliability on heterogeneous processors.

Own the AI inference and runtime platform, including open-weight model serving, Kubernetes operators and autoscaling, GPU infrastructure, stateful vector and graph stores, and secure microVM-based agent sandboxing. Build Rust, Python, and Kubernetes control-plane services; manage infrastructure as code, observability, metering, lifecycle operations, upgrades, backups, and failover. Establish security controls, open-source standards, and reliable production operations across cloud and managed GPU environments.

Set technical direction for Elastic Cloud Serverless control-plane initiatives, designing distributed systems that orchestrate projects across AWS, Google Cloud, and Azure. Lead multi-quarter, cross-team delivery; write and review Go code; improve reliability, security, and cost efficiency; investigate incidents; participate in on-call; mentor engineers; and advise product and engineering leaders on technical trade-offs and roadmap decisions.

Lead platform strategy and architecture for a growing backend platform. Drive reliability, observability, and scalability improvements, mentor engineers, establish best practices, and build backend services and platform tooling in partnership with cross-functional teams.

Senior individual contributor owning integration architecture and API design across products. Defines API contracts, patterns, tooling, and governance; leads cross-team technical decisions; implements integration services; operates integrations on cloud (AWS preferred); mentors engineers and documents standards, RFCs, ADRs, and runbooks.

Lead architecture and ownership of Cortexs platform infrastructure: deploy pipeline (GitOps/Argo), multi-tenant isolation, database stability and migrations, compliance foundations (encryption, auth, FedRAMP-class), observability and operational readiness, and translate platform capabilities into customer-facing offerings.

Senior full-stack engineer responsible for Java/Spring Boot backend and ReactJS front-end development, migrating VM-hosted apps to containerized OpenShift/Kubernetes deployments, building enterprise APIs (REST/SOAP), supporting production, troubleshooting databases/middleware, implementing CI/CD and secure coding practices, and performing releases, rollback, and regression validation in an Agile environment.

Lead design, build, and deliver enterprise Apigee API management solutions (Apigee X/Hybrid). Architect APIs, mentor teams, support pre-sales, create PoCs, define governance, implement security integrations, and support CI/CD and production deployments.

Responsible for the full software development lifecycle, collaborating with teams to design, develop, and maintain applications while mentoring others and ensuring engineering standards.

Design, build, and operate resilient Java and Spring Boot backend services for inventory availability, order promising, and fulfillment. Develop event-driven Kafka integrations, concurrency and consistency controls, caching strategies, observability, and graceful degradation mechanisms. Own services from design through production, optimize performance and reliability, integrate with commerce and enterprise platforms, conduct code reviews, document architecture decisions, and mentor junior engineers.

Own quality strategy, automated testing, and test execution for omnichannel commerce capabilities. Build scalable API, integration, contract, event-driven, and end-to-end test frameworks; manage complex test data; integrate quality gates and regression testing into CI/CD pipelines; define quality metrics; validate order, inventory, fulfillment, returns, and post-purchase workflows; and mentor engineers on quality practices and automation.

Own frontend architecture for multi-tenant applications serving internal, customer, and partner audiences. Build React and TypeScript interfaces, shared component libraries, theming and branding systems, accessible user experiences, and integrations with governed APIs. Establish engineering standards, document technical decisions, navigate open architecture questions, and support workflows ranging from immediate interactions to longer approval processes involving sensitive or regulated data.

Design, implement, and operate hybrid-cloud infrastructure and platform services. Automate infrastructure (IaC), manage Kubernetes (EKS and on-prem), provision distributed systems (Spark, Kafka, databases), build CI/CD pipelines, improve cloud governance/security, and collaborate with trading, development, and operations teams to maintain reliable production systems.

The AI Platform Engineer leads the development of production AI agents and components, collaborates on AI implementations, and maintains AI systems for reliability and observability.

Design, build, and extend Calendly's infrastructure platform; develop cloud-native tools and APIs (primarily in Go) using Kubernetes patterns; guide application development, mentor teams, ensure reliability and observability, and participate in on-call rotation.

Lead design and implement deep mobile platform integrations (primarily iOS) across the Graykey product. Debug across layers (Python, native C/C++, OS userspace and kernel), analyze crash dumps and disassembled binaries, drive features from design through production, mentor engineers, and collaborate with firmware and product teams to ensure reliable multi‑device, multi‑OS operation.

The Senior/Staff Platform Engineer will improve platform reliability, performance, and scalability, operating infrastructure, managing incidents, and automating workflows while collaborating with engineering teams.

Design, build, and operate core platform infrastructure for an Agentic AI platform. Collaborate with cross-functional and ML teams to enable scalable, high-performance systems, provide production support and troubleshooting, and drive platform features that serve multiple products and engineering teams.

Develop and support software throughout the SDLC using Power Platform, Dataverse, .NET, C#, Blazor, and MAUI/Blazor Hybrid. Design scalable data models, integrations, automation workflows, APIs, authentication, and role-based security. Integrate hybrid applications with Power Apps and Dataverse, guide project teams, document technical solutions, and communicate with technical and non-technical stakeholders. Apply secure coding practices, accessibility standards, and AI-assisted development techniques.