Platform Site Reliability Engineer
Develop platform APIs, shared services, and reusable CI/CD components to improve developer productivity. Focus on infrastructure as code, service onboarding, and overall platform reliability.
1,566 Platform Engineer jobs available for remote work from home. Apply for positions such as Platform Site Reliability Engineer, Senior Azure Platform / DevOps Engineer, Principal Software Engineer Backend Technologies, Platform (UK Remote) and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Develop platform APIs, shared services, and reusable CI/CD components to improve developer productivity. Focus on infrastructure as code, service onboarding, and overall platform reliability.
Design, build, and maintain reusable Azure cloud platforms and Terraform foundations for various clients. Manage the full lifecycle of platforms including networking, compute, data services, and deployment pipelines.
Lead the design, development, and optimization of scalable backend services using Java and serverless technologies. Collaborate with cross-functional teams to deliver innovative solutions and mentor junior developers.
Lead the design, development, and optimization of scalable backend services using Java and serverless technologies. Collaborate with cross-functional teams to deliver innovative solutions and mentor junior developers.
Lead the design, development, and optimization of scalable backend services using Java and serverless technologies. Collaborate with cross-functional teams to deliver innovative solutions and mentor junior developers.
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Lead the design, development, and optimization of scalable backend services using Java and serverless technologies. Collaborate with cross-functional teams to deliver innovative solutions and mentor junior developers.
Design and develop scalable APIs, services, and UIs for a configuration-driven white label platform. Collaborate with cross-functional teams to optimize business workflows and enhance the investor experience through self-service tools.
Serve as a technical leader responsible for architecting scalable systems and driving the adoption of AI throughout the software development lifecycle. Collaborate cross-functionally to translate business requirements into technical solutions while mentoring engineers and raising operational excellence.
Develop and maintain cross-platform API abstractions for the Unity Editor across Windows, macOS, and Linux. Collaborate with global teams to implement new OS features and improve the native foundation of the application.
Lead the technical architecture and hands-on development of a new real-time, collaborative web content platform. Partner with product and design teams to define engineering standards and build scalable backend services and visual editing interfaces.
The role focuses on strengthening core AI systems by diagnosing performance issues and improving platform reliability and observability. You will be responsible for enhancing AI agent behavior and refactoring complex code to ensure system scalability.
The Senior DevOps Engineer manages the entire lifecycle of CI/CD pipelines and Infrastructure as Code to ensure system stability and operational performance. They are responsible for automating software deployment processes and collaborating with cross-functional teams on AI migration initiatives.
Lead the migration of infrastructure automation from Puppet to Ansible and stabilize the Intex platform for structured finance processes. Coordinate ETL data integration workflows and maintain operational documentation for future integration readiness.
Design and operate the Agent SDK and MCP Gateway to enable Netflix engineers to build and deploy production-grade AI agents. Establish evaluation frameworks, tracing, and quality signals to ensure the reliability and performance of non-deterministic AI systems.
Own and unify the platform infrastructure, CI/CD pipelines, and security guardrails to enable fast and safe developer shipping. Manage compliance audits, observability, and the reliability of background-job and caching systems.
The role focuses on automating server provisioning, configuration, and system maintenance to ensure platform stability. It involves building auto-healing mechanisms and automating disaster recovery workflows and failover processes.
Implement and scale the core economic engine for ride-hailing services, focusing on pricing, matching, and positioning. Develop infrastructure for automatically training and deploying sophisticated ML and optimization models.
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You will design, build, and operate a highly resilient and secure Azure cloud platform to support advanced AI workloads in a healthcare environment. The role involves managing GPU-based compute, ensuring regulatory compliance, and optimizing infrastructure for performance and cost.
The Staff Software Engineer will architect scalable data solutions and drive technical innovation within the Data Substrate team. They are also responsible for mentoring engineers and ensuring data quality, integrity, and security across the data lifecycle.
The Principal Software Engineer will design and implement cross-platform software adhering to company requirements while contributing to the continuous improvement of software engineering processes, including automation and standardization. Responsibilities also include developing distributed and scalable data management systems leveraging cloud services and designing efficient data models for life science ontologies.
The Principal Engineer will focus on optimizing the GenSearch financial data agent by reducing latency in AI-powered answers and simplifying the fragmented, legacy-heavy architecture. Responsibilities include improving cross-dataset querying, shipping new datasets, and leading technical initiatives across multiple engineering teams.
The role involves building and maintaining a robust platform for frontend development, focusing on desktop screen capturing and analytics systems. The engineer will work closely with product and engineering teams to enhance compliance and QA processes.
The Senior Software Engineer will design, scale, and operate distributed services for Cresta’s voice ecosystem. Responsibilities include leading the development of backend microservices and collaborating with cross-functional teams to implement innovative features.
The role involves designing, building, and maintaining low-latency serving stacks for ML models, as well as automating training pipelines and optimizing performance at scale. Additionally, the engineer will create reusable SDKs and mentor others on production ML best practices.
As a Principal Software Engineer, you will own large-scale features from concept to production, translating operational and clinical requirements into technical solutions. You will design and implement APIs, services, and user-facing features while helping to define the broader technical architecture and product roadmap.
The role involves evolving and innovating Netflix's data infrastructure and building scalable, highly available distributed systems. Engineers will collaborate across teams to solve complex challenges and contribute to open source communities.
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Design, implement, and maintain CI/CD pipelines for AI and analytics solutions. Collaborate with AI Engineers and Solution Architects to develop platforms and operational frameworks.
You will build, test, and maintain full-stack features for an email and communications platform while modernizing legacy code and improving system reliability. You will collaborate with product teams and senior engineers to design scalable solutions for high-volume email delivery and data pipelines.
You will design, build, and maintain full-stack features for a high-volume email and communications platform while driving modernization efforts in a mature codebase. This role involves collaborating with product teams to translate business requirements into scalable, cloud-native solutions using .NET and Azure.
You will lead the design and evolution of core insurance platform subsystems while establishing technical vision and architectural standards. You will also collaborate with cross-functional partners to drive experimentation, improve attach rates, and mentor engineering teams.
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