Top Remote Platform Engineer Jobs

Lead the design, delivery, and production adoption of integrations-platform features, including SDKs, agents, job pipelines, developer tooling, and related services. Drive AI-enabled integration authoring, reliability, scalability, observability, and cross-platform support. Partner across product, platform, and customer teams to translate needs into technical solutions while providing architectural leadership, mentorship, and hands-on guidance across distributed systems and workflow orchestration.

Lead partner-facing technical solutioning for BILL’s embedded financial platform. Responsibilities include conducting discovery and deep-dive workshops, designing API and systems integrations, leading architecture sessions and code reviews, creating technical documentation, training users, coordinating cross-functional teams, and managing multiple implementation projects. The role requires translating complex technical concepts into business outcomes for senior stakeholders and includes approximately 25% travel.

Build and support scalable payment systems using Java, Spring Boot, AWS, microservices, APIs, messaging, and event-driven architectures. Integrate third-party payment providers, troubleshoot production issues, automate deployment and infrastructure management, and contribute to reliable, secure, scalable payment platforms. Collaborate with product and business teams to develop payment capabilities and leverage generative AI and LLMs to improve software engineering workflows.

Build and maintain secure cloud-native platforms supporting Navy application teams. Integrate, package, deploy, and operate applications across Kubernetes and UDS environments; develop infrastructure as code, CI/CD pipelines, Helm configurations, and automation. Troubleshoot application and platform issues, implement security controls and vulnerability remediation, support observability, collaborate across technical teams, and contribute to platform strategy. The role also involves mentoring engineers and supporting Kubernetes distributions including EKS and RKE2.

Build and deploy AI-powered features, including RAG pipelines, agentic workflows, and LLM applications on AWS. Develop async Python backend services and React/TypeScript frontend features, manage testing, CI, observability, and cloud deployment, and integrate Veeva platform APIs. The role offers end-to-end ownership in a fully remote, fast-moving team while spanning backend, frontend, cloud infrastructure, and applied AI engineering.

The Sr. Staff Platform Engineer will lead the design and development of cloud-native internal developer platforms, focusing on AWS and AI/ML integration to empower engineering teams and streamline workflows.

Design, implement, and maintain scalable hybrid multi-cloud Kubernetes platforms at massive scale. Ensure high reliability, integrate open-source observability tools, provide technical direction, operate large Linux environments across cloud and data centers, handle on-call duties, and mentor junior engineers.

As a Software Engineer on the Compute team, you will build and optimize systems for data processing, SQL querying, and improve the performance of code execution. You will tackle complex engineering challenges spanning backend data systems to frontend applications, ensuring efficiency and usability.

As a Senior Software Engineer on the Data Platform team, you'll enhance the data infrastructure, develop ETL pipelines, maintain data quality, collaborate across teams, and mentor junior engineers.

Owner of Vannevar's authentication and authorization platform: build tenant-isolated auth systems, self-service user/group/permission admin UI, tooling to visualize and validate access, feature-flag and platform management interfaces, and shared authorization capabilities across products.

Design and build end-to-end web and AI-powered dashboard features, scale cross-platform full-stack infrastructure, standardize product patterns, mentor engineers, lead cross-team technical projects, and collaborate with product and design to improve user workflows and AI adoption.

Design and build scalable AI platform capabilities to enable multi-step GenAI workflows, model execution, and integrations. Implement backend services, execution infrastructure, APIs, and observability to support production GenAI experiences across sales and product teams. Collaborate with AI engineers, data scientists, and product partners to turn AI use cases into reliable, extensible platform features.

Own and scale Nango’s cloud platform, including compute, networking, data infrastructure, Kubernetes, IaC, and GitOps. Lead BYOC and private-cloud deployments, productize provisioning and upgrades, establish SLOs and incident processes, operate PostgreSQL, Redis, Elasticsearch, and ClickHouse, and oversee infrastructure security and compliance. Help shape product strategy while supporting a remote-first, autonomous engineering team.

Designs and implements tailored satellite and terrestrial communication solutions for enterprise customers. Responsibilities include customer discovery, site surveys, feasibility studies, system installation and testing, POC troubleshooting, documentation, technical training, dashboard and analytics support, and cross-functional project coordination. The role manages handoff from proof of concept to service delivery while advising customers on network best practices and ensuring successful deployment across complex connectivity environments.

Design and lead development of a high-performance, multi-cloud AI platform and context layer for agentic workflows. Own the data lakehouse roadmap, context retrieval infrastructure, agent orchestration interfaces, MCP interoperability, HITL safeguards, and AI-native operational capabilities. Establish engineering standards, CI/CD, GitOps, infrastructure-as-code, observability, and cloud governance practices while guiding architecture decisions across teams and optimizing performance, security, and cost.

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.

Develop and support Power Platform and SharePoint solutions throughout the software development lifecycle. Responsibilities include requirements gathering, architecture, design, development, testing, deployment, documentation, migrations, workflow automation, dashboards, forms, end-user support, training, and stakeholder communication. The role integrates SharePoint Online with Power Apps, Power Automate, and Power Pages while coordinating multiple projects and mentoring team members.

Build and launch AI-powered developer tools, including automated code review, quality gates, test generation, and codebase-aware agents. Integrate these capabilities into Slack, Git, CI/CD, IDEs, and internal platforms. Establish evaluation frameworks, guardrails, observability, and reliability standards while measuring adoption, cycle time, review load, defects, and developer satisfaction. Drive technical direction, architecture, security, governance, build-versus-buy decisions, and continuous improvement of the developer experience.

Manage enterprise applications on GCP and build reliable internal platforms for engineering teams. Design CI/CD pipelines, maintain Terraform-based infrastructure, develop upgrade automation, lead incident response and root-cause analysis, optimize system performance and resource usage, and establish infrastructure-as-code and security standards. Participate in on-call rotations and collaborate cross-functionally to improve deployment processes, scalability, availability, and developer productivity.

Build scalable full-stack software for AV data introspection, visualization, search, and analysis. Partner with Product, Design, and Engineering stakeholders to define and deliver a roadmap, address customer workflow gaps, lead technical discussions, and promote engineering solutions. The role requires developing reliable applications for diverse data types, working with SQL and NoSQL architectures, and integrating AI techniques into front-end experiences.

Lead design, build, deployment, and operation of highly resilient, high-throughput configuration and publishing systems. Define long-term architecture and strategy, mentor senior engineers, diagnose and fix performance bottlenecks, and leverage AI tools to improve engineering productivity and platform capabilities.

Lead design and evolution of Hex's graph-based compute execution architecture. Optimize parallel execution, caching, and remote warehouse interactions. Instrument and diagnose performance, author technical proposals, mentor engineers, and roadmap long-term platform designs while remaining hands-on in backend code.

Own performance optimization, reliability, observability, capacity modeling, and automated failover for Coinbase’s blockchain node infrastructure. Diagnose resource bottlenecks, reduce infrastructure costs, define SLOs and SLIs, support protocol upgrades, and improve node performance across distributed systems at scale. Collaborate with protocol integration, wallet, and indexer teams while applying backend programming and systems profiling expertise.

Build and operate secure, scalable Azure infrastructure and AI platform capabilities using Terraform, MCP servers, LLMOps/GenAIOps, Docker, Kubernetes, and GitHub Actions. Own CI/CD, observability, reliability, security, compliance, incident response, and production support for platform and AI workloads. Partner on AI platform roadmap development, reusable engineering patterns, tooling adoption, documentation, and Agile delivery while participating in on-call rotations.

Design and scale security infrastructure across cloud platforms, Kubernetes, CI/CD, endpoints, identity, and secrets management. Build AI governance controls addressing model risk, bias, reliability, and patient safety. Establish secure engineering standards, reusable controls, and golden paths while translating security risks for technical and business stakeholders. Partner with engineering, product, clinical, legal, and executive leaders to prioritize security workstreams and strengthen compliance across a regulated healthcare platform.