Top Remote Platform Engineer Jobs

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.

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.

Lead technical design and implementation of the ISPM product using Ruby on Rails. Build scalable data pipelines and systems to process large-scale identity telemetry, collaborate with security researchers and product teams, mentor engineers, and set architectural direction for detection and remediation features.

Build and lead development of the ESPM platform using Ruby on Rails. Define technical vision, design scalable data pipelines and architectures for petabyte-scale ingestion, implement features across the stack, collaborate with security researchers, mentor engineers, and ensure high-quality, tested deliveries.

Lead technical strategy and architecture for Coinbase's Blockchain Platform, overseeing nodes, indexers, wallets, and asset lifecycle. Drive cross-team platform rearchitectures, enforce security and reliability standards, champion AI-driven automation, use observability to improve reliability, and represent the platform to executives to secure alignment and resources for large-scale blockchain infrastructure initiatives.

Lead design and implementation of Affirm's Lakehouse Platform using Iceberg, Spark, Snowflake, and cloud storage. Drive platform roadmap, governance, access controls, performance and cost optimization, analytics engineering best practices, observability, and on-call readiness. Partner cross-functionally, mentor engineers, and build scalable, secure, self-service data infrastructure and semantic/agentic data tools.

Build and operate ML training and serving infrastructure; design, develop, and launch backend systems; collaborate across teams to decompose projects; maintain availability through monitoring and on-call support; review and debug large codebases; contribute to hiring and team growth.

Design, build, and operate a reliable, scalable developer platform and cloud infrastructure (GCP/GKE). Lead SRE practices: SLO/SLI, observability, incident response, on-call, automation, security-by-default, Terraform IaC, CI/CD, capacity planning, mentoring, and platform enablement across teams.

Design, build, and operate low-latency authentication and authorization services (OAuth, sessions, tokens, 2FA, account recovery). Lead technical designs, ensure strong security and observability, collaborate cross-functionally, simplify integrations, and mentor engineers while running production services with measurable SLOs.

Build and operate Coinbase's LLM and agent platform: unified model gateway, AI Hub, secure microVM agent runtime, knowledge base integrations, AI FinOps, observability and evaluation tooling, and production-grade agent deployments with teams across the company.

Build and maintain a backend-first fullstack platform for governed AI workflows: design Python/Django services, APIs, Kubernetes-backed execution, agent orchestration, permission-aware data access, observability, frontend surfaces in TypeScript/React, and platform abstractions to make distributed AI workflows reliable, auditable, and usable by regulated customers.

Own and operate the deployment backbone for a multi-environment AI platform: build CI/CD pipelines, ensure multi-cloud deployment parity (SaaS, VPC, on-prem), automate infrastructure provisioning, implement observability and security, run incident response and on-call, collaborate with developers to improve reliability, and maintain documentation and runbooks.

Design, build, and maintain platform services, infrastructure, and tooling to improve developer experience, reliability, and scalability. Own complex systems end-to-end, add observability and CI, and embed AI-enabled workflows to accelerate product delivery and operational excellence.

Design, build, and operate scalable backend services and internal APIs for an AI platform. Integrate LLMs and AI tools into production workflows, ensure platform reliability via observability and incident response, optimize AI runtime performance and cost, and contribute to shared infra like CI/CD and deployments.

Develop, enhance, test, deploy, and maintain Microsoft Power Platform solutions (Power Apps, Power Pages, Power Automate, Dataverse). Design data models and integrations using Azure services, REST APIs, and custom connectors. Support Agile delivery, testing, migrations, documentation, deployments, security, privacy, and Section 508 accessibility compliance.

Develop and maintain responsive, scalable Power Platform (canvas and model-driven) applications and Power Automate flows in a federal environment. Build PoCs/MVPs, custom connectors, integrate Dataverse and SharePoint Online, collaborate in Scrum ceremonies, translate requirements to functional apps, and validate solutions with end-users. Requires .NET/C# experience and an active Public Trust clearance.

Design, automate, and manage AWS infrastructure using Terraform; build CI/CD pipelines with Jenkins, Git, and Docker; operate container workloads on ECS; implement monitoring (Splunk, Zabbix, AppDynamics); ensure security/compliance (NIST, CIS, FedRAMP/FISMA); participate in on-call support, incident response, and cross-team documentation for federal stakeholders.

Own and operate the AI-native platform runtime including Kubernetes (GKE), Terraform, GCP, CI/CD, observability, orchestration (Temporal, Kong). Improve reliability, performance, cost, multi-tenant provisioning, developer experience, and lead on-call and incident response.

Design, operate, and evolve CI/CD and delivery infrastructure for ~400 engineers. Build developer-facing tooling, champion progressive delivery (canaries, automated rollbacks), own end-to-end delivery from merge to production, improve pipeline reliability and speed, evolve the Internal Developer Portal, and embed AI-assisted workflows into the software development lifecycle.

Lead design, operation, and evolution of AlphaSense’s cloud and Kubernetes platform. Improve security, reliability, cost, and performance; build tooling and AI integrations; enable self-service workflows; support global engineering teams and drive platform standards and automation.

Build and maintain high-throughput transaction and wallet infrastructure for on-chain/off-chain flows. Design transaction lifecycle, retry/rebroadcast and recovery strategies, support cross-chain and DeFi integrations, improve observability and operational guardrails, and own end-to-end engineering, incident response, and reliability for financial correctness and auditability.

Own and administer the Databricks platform end-to-end: manage workspaces, Unity Catalog, access control, networking/security posture, infrastructure-as-code (Terraform, CI/CD), cost governance, and advise teams on architecture, governance, and platform adoption.

Own stability, performance, and improvement of enterprise BI platforms. Troubleshoot multi-layer issues, manage operational tasks, support BI users, drive root-cause fixes, automate support using AI/LLM, pilot AI-powered support capabilities, and establish governance for safe AI usage while tracking efficiency metrics.

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.

As a founding Staff Platform Engineer, you will architect and build core platform components, design and implement scalable distributed backend systems, drive CI/CD and testing practices, collaborate closely with the CEO/CTO, work in an Agile environment, and help deliver reliable fintech products.