Top Remote Platform Engineer Jobs

The role involves designing, developing, and maintaining backend services, ensuring scalability and performance, collaborating on B2B solutions, and aligning architecture with product strategy.

Design and maintain backend services, including APIs for payment, subscriptions, and text to speech, while optimizing for performance and collaborating with cross-functional teams.

The Software Engineer, Platform will design, develop, and maintain backend services and robust APIs for Speechify, focusing on user experience and performance optimization.

The Software Engineer in the Platform team is responsible for designing and maintaining backend services, APIs, and collaborating on B2B solutions, ensuring high performance and user satisfaction.

As a Software Engineer in the Platform team, you will design, develop, and maintain backend services, focusing on APIs for users and enterprise clients, aligning with product strategy.

The Software Engineer will design, develop, and maintain backend services like APIs for payments, subscriptions, and text-to-speech, ensuring scalability and alignment with product strategies.

As a Software Engineer on the Platform team, you'll design and maintain backend APIs, enhance performance, and collaborate with teams to align backend architecture with product strategy.

Design, develop, and maintain backend APIs while collaborating with cross-functional teams to align user experience with product strategy. Optimize performance and oversee integrations for enterprise clients.

The role involves designing, developing, and maintaining backend APIs while collaborating with cross-functional teams to enhance user experience and meet business needs.

The Software Engineer will design, develop, and maintain backend APIs, optimize performance, and collaborate with teams to meet product strategies.

Design, build, and operate scalable, secure data platform infrastructure for ingesting, processing, cataloging, and accessing petabytes of data. Improve Spark/Databricks reliability and developer experience, build ingestion/replication systems, develop internal libraries and tooling (Go/Python), and collaborate with cross-functional teams to support analytics, ML, and customer-facing data products.

Lead Salesforce and billing platform engineering with an emphasis on AI-driven automation. Build scalable Salesforce solutions (Apex, Flow, LWC), pilot LLM/agent workflows, modernize CI/CD and test automation, support Quote-to-Cash and billing processes, collaborate across product and finance, drive technical debt reduction, and mentor junior engineers.

Design, build, and optimize foundational microservices and infrastructure for a fintech platform. Improve resilience, scalability, performance, monitoring, observability, incident response, and automated recovery. Develop customer-facing and business-critical features while maintaining system stability and reducing technical debt. Collaborate with product, operations, compliance, and business teams, mentor junior engineers, and continuously improve platform capabilities using analytics and user feedback.

Lead architecture updates and REST API integration for a federal environmental consultation platform. Implement cloud data integration, species display functionality, consultation logic, interoperability fixes, demo environment support, production deployments, and operational documentation. The role requires backend development, federal application integration, accessibility compliance, Git-based development, FedRAMP deployment knowledge, and the ability to obtain Public Trust clearance.

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.

Lead architecture and development for Beacon’s backend data platform, including PostgreSQL data models, Kafka event pipelines, GraphQL APIs, warehouse data snapshots, and clinical-data access controls. Design complex systems, optimize queries and database performance, operate containerized services, mentor engineers, write RFCs, debug cross-system issues, and collaborate with scientific, clinical, product, and engineering stakeholders. The role has either a broad platform focus or a deep PostgreSQL and data-modeling focus.

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.