Top Remote Platform Engineer Jobs

Leads architecture and development of a production agentic AI platform. Defines technical strategy, engineering standards, reliability and model evaluation practices, and scalable AI capabilities. Designs RAG integrations, third-party data connections, model routing, tool use, and code execution systems. Partners across Engineering, Product, and Data to drive adoption, resolve technical challenges, and align AI investments with customer outcomes while contributing directly to product delivery.

Provide technical leadership across engineering teams by defining architecture, building reusable cloud-native platforms, and designing distributed systems and production AI applications. Establish engineering standards for reliability, security, observability, governance, and operational excellence. Mentor senior engineers and technical leaders, influence architecture through collaboration, and drive modernization, AI-assisted development, and platform engineering initiatives.

Design, build, deploy, and operate Node.js and TypeScript backend services supporting account onboarding, identity verification, agreements, and funding. Own event-driven workflows, asynchronous processing, job orchestration, integrations, reliability, monitoring, and operational tooling. Develop scalable services on Google Cloud Platform and Kubernetes, support expansion into new markets, coordinate technical direction, and mentor engineers. Ensure correctness through idempotency, retries, reconciliation, and resilient handling of partial failures.

Design and build identity services for AI agents and enterprise systems: authentication/authorization (OAuth2/OIDC/JWT/SAML/mTLS), credential lifecycle, enterprise IdP integrations, secure agent access, developer-facing identity SDKs/APIs, auditability, and compliance alignment for FedRAMP/Zero Trust environments.

Build and maintain scalable ML and generative AI platforms and backend infrastructure; deploy and manage production applications; create services exposing ML/AI products; implement RAG solutions and vector databases; integrate LLM orchestration and foundation model APIs; collaborate cross-functionally and mentor teammates.

Build and operate Danaher’s enterprise data platform automation and reliability layer. Responsibilities include Infrastructure-as-Code, CI/CD, self-service developer enablement, data platform provisioning, observability, SLOs, auto-remediation, FinOps, compliance guardrails, and event-driven operations across Snowflake, Azure, Matillion, dbt, and Airflow. The role also develops AI-driven operators and copilots using Azure AI Foundry, Anthropic Claude, and related agent frameworks.

Lead end-to-end ML systems for identity verification, including document authenticity, face match, liveness and deepfake detection. Build GNN-based identity graphs, behavioral/device-intelligence models, vendor benchmarking/evaluation, and production enforcement. Mentor engineers and align ML architecture with Product, Compliance, Risk, and Security stakeholders.

Lead architecture and implementation of an AWS-native data platform powering analytics, ML, and AI workflows. Build scalable ETL/ELT pipelines (Airflow, Fivetran, dbt), enforce governance, observability (Datadog), and data quality, and provide technical leadership across Data Science, Analytics, Product, and Engineering.

The Platform Engineer will manage cloud technologies, backend services, and observability tools, while enhancing security and advising development teams on integrations.

The Senior/Staff Platform Engineer at Runway will build scalable systems and infrastructure, improve collaborative products, and foster team growth.

This role focuses on engineering and designing Red Hat Linux OS environments, engaging in server virtualization and migration processes, particularly between various Linux setups and Windows environments.

Senior Engineer responsible for designing scalable platform architectures, building backend services in C# or TypeScript, managing databases and cloud infrastructure, improving CI/CD and security practices, troubleshooting reliability issues, and mentoring engineers. The role leads complex projects, contributes to technical strategy, promotes Agile practices, and drives engineering excellence across teams.

Build ECP’s platform organization and AI foundation, including agent tool surfaces, retrieval and context layers, model-serving paths, evaluation systems, and customer-facing agent workflows. Own shared identity, data, messaging, and event-driven services used across teams. Establish reliable interfaces between legacy ColdFusion and newer services, implement contract testing, optimize data performance, and support production systems handling governed clinical data in a multi-tenant HIPAA SaaS environment.

The role involves designing, developing, and maintaining backend services and APIs, optimizing performance, and collaborating with cross-functional teams for product integration.

Join Speechify's Platform team to design, develop, and maintain backend services and APIs for various products, focusing on performance and scalability while collaborating with cross-functional teams.

The role involves designing and maintaining backend APIs, collaborating on B2B solutions, and optimizing API performance. Ideal candidates should have experience in backend development and familiarity with cloud services.

The Software Engineer will design, develop, and maintain APIs, oversee backend architecture, and collaborate on B2B solutions in a dynamic, distributed environment.

As a Software Engineer on the Platform team at Speechify, you will design, develop, and maintain backend services and APIs, collaborating with cross-functional teams and focusing on B2B solutions.

The Software Engineer, Platform role involves designing and maintaining backend APIs for various services at Speechify, focusing on performance and scalability while collaborating with cross-functional teams.

The Software Engineer will design, develop, and maintain backend APIs, oversee the API landscape, and collaborate with teams for product strategy alignment.

Develop and maintain backend services, including APIs for payments and analytics, optimize performance, and collaborate with cross-functional teams.

The role involves designing and maintaining robust backend APIs, optimizing performance, collaborating on B2B solutions and aligning architecture with product strategy.

Design, develop, and maintain backend services and APIs, optimize performance, and collaborate with cross-functional teams for product alignment.

As a Software Engineer on the Platform team, you will design and maintain backend APIs, optimize performance, and collaborate with cross-functional teams to align architecture with product strategy.

The Software Engineer on the Platform team will develop and maintain backend services, focusing on APIs related to payments, subscriptions, and more, while collaborating with cross-functional teams to align backend architecture with product strategy.