802 Platform Engineer jobs in United States available for remote work from home. Apply for positions such as Staff Software Engineer - Web Platform, Senior Platform Data Engineer, Senior Staff Machine Learning Engineer, Growth Platform Engineering and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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You will lead the architecture and development of a real-time, collaborative content platform, working across the full stack to define engineering standards. You will also partner with product and design teams to translate complex requirements into scalable technical strategies while mentoring other engineers.
The Senior Platform Data Engineer owns the architecture, roadmap, and platform standards for clinical data products and AI infrastructure. They are responsible for building and maintaining real-time data feeds, RAG retrieval pipelines, and managing the Databricks environment to support AI at scale.
You will lead the design and development of AI-powered agentic systems to drive sustainable growth and personalize customer experiences at scale. This involves collaborating with cross-functional teams to productionize machine learning models and mentor engineers in building resilient, high-performing AI infrastructure.
You will build, expand, and optimize data infrastructure to create accurate identity datasets and develop scalable ETL/ELT pipelines. Additionally, you will maintain data observability frameworks and collaborate with product squads to ensure high-quality data delivery.
You will lead the development and adoption of the Agents Platform, driving best practices and tooling for building reliable AI agents. You will collaborate with internal teams to build evaluation frameworks and solve governance challenges unique to AI agent systems.
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As a Senior Staff Software Engineer, you will define and lead the vision for Reddit’s large-scale GenAI Platform, shaping the strategy and architecture for generative AI products. You will also drive MLOps and LLMOps standards and partner across teams to align platform investments with company priorities.
Design and implement full-stack applications and AI agents that enable rapid development and deployment. Collaborate with product, UX, and domain experts to deliver customer-focused solutions with measurable outcomes.
You will build the software-defined networking platform for high-performance, isolated networking for distributed computing and data-intensive workloads. This includes designing and implementing network orchestration and provisioning systems.
You will design and implement the compute orchestration layer that manages GPU clusters and resource scheduling. This role is crucial for enabling researchers and engineers to access high-performance compute resources efficiently.
As a Platform DevEx engineer, you'll build and maintain tools and systems that allow developers across NCBI to build, deploy, and maintain software and web services. You'll work on CI pipelines, Kubernetes configurations, and documentation for the DevEx platform.
You will build and ship features for the North AI workspace platform and develop autonomous agents that interact with sensitive enterprise data. This role involves leading end-to-end deployment of North in private cloud and on-premises environments.
The Senior Platform Engineer role involves developing software within an agile/scrum Product Engineering team and leading initiatives with minimal guidance. Responsibilities include conducting code reviews, writing technical documentation, and contributing to product demonstrations.
Design, build, and maintain scalable, reliable, and secure infrastructure to support Prepared’s platform. Architect and implement core systems while contributing to the long-term strategy of the platform.
You will build and scale real-time invariant enforcement systems to ensure financial correctness across all Coinbase fund flows. This involves designing correctness models, developing AI-powered guardrails, and mentoring junior engineers on distributed systems design.
Design, build, and operate secure, resilient Kubernetes platforms while automating infrastructure using modern GitOps and CI/CD workflows. Partner with cross-functional teams to integrate cloud services and ensure platform reliability, security, and performance.
The engineer will own and manage the end-to-end release process for Azure landing zone deployments, focusing on SAP migration projects. They will also develop automated deployment scripts, maintain infrastructure configurations, and ensure compliance with security and government standards.
You will be responsible for building, testing, and deploying robust features for the consumer-facing help center while collaborating with cross-functional teams. The role involves participating in an on-call rotation and utilizing a platform mindset to manage massive end-user traffic and vendor integrations.
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You will architect and build robust, scalable, and highly available distributed infrastructure to support Netflix's data platforms. You will also lead cross-functional initiatives and collaborate with engineers, product managers, and technical program managers to solve complex business needs.
You will design, build, and maintain identity and access management platform capabilities to improve scalability and operational efficiency. Additionally, you will partner with architects and stakeholders to translate business requirements into technical platform enhancements.
Design and implement machine learning models to optimize ad ranking, relevance, and delivery across the Fetch platform. Collaborate with cross-functional teams to build scalable feature pipelines and maintain high-performance production inference systems.
The Staff Software Engineer will architect scalable data solutions and drive technical innovation within the Data Substrate team. They will also mentor engineers and collaborate with cross-functional partners to ensure data quality and security.
Architect and develop robust, scalable, and secure APIs for music catalog, recommendation, and search systems. Lead backend engineering efforts while collaborating with cross-functional teams to define API contracts and optimize service performance.
The position involves managing a self-hosted ServiceNow platform environment and maintaining the ServiceNow Configuration Management Database (CMDB). The engineer will collaborate with development teams to deploy updates, troubleshoot platform issues, and drive operational innovation.
You will lead teams in building and operating cloud platform products that support agentic workloads for both engineering and non-engineering users. This includes managing the product roadmap, ensuring platform reliability, and fostering a strong engineering culture through mentorship and coaching.
Design, develop, and deploy AI software components including foundation models, LLM inference, and multi-agent workflows. Lead technical vision for enterprise AI architecture while mentoring teams and championing responsible AI principles.
The role involves managing the full lifecycle of Atlassian platform enhancements, from requirements discovery and configuration to user enablement and incident resolution. You will partner with government and contractor stakeholders to translate operational needs into scalable, efficient platform solutions.
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The engineer will configure and maintain AI governance platforms, automating workflows and evidence capture to ensure auditable and scalable responsible AI practices. They will also partner with cross-functional teams to integrate governance controls into the enterprise AI/ML ecosystem.
Design, build, and maintain scalable cloud-based data pipelines and warehousing solutions using AWS, Snowflake, and Python. Collaborate with cross-functional teams to implement data quality controls and support production operations through orchestration and monitoring.
Lead the full development lifecycle and architectural strategy while championing the adoption of AI-assisted engineering practices across the team. You will translate complex designs into scalable code and provide technical guidance to improve overall codebase quality and performance.
Design, build, deploy, and operate a real-time conversational voice AI platform, including integrations across speech, LLM, telephony, and AWS services. Lead platform design and reliability initiatives, improve observability and release engineering, and support team growth through standards, documentation, code reviews, and mentoring.
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