Design, build, and maintain scalable platform environments to support product development, testing, and customer demos. Collaborate with engineering teams to integrate platform components and improve system reliability through continuous, real-world validation.
Remote Software Engineer Jobs (18,412)
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The Platform Engineer will build and maintain CI/CD pipelines for Linux OS images and manage PXE boot infrastructure for bare-metal servers. They will also oversee OCI registry workflows, image signing, and vulnerability scanning to ensure secure and efficient deployment processes.
The engineer will own the distributed AI scheduling layer, building Ray-based task graphs for inference, training, and RAG workloads. They will also manage Ray deployment patterns on Kubernetes and integrate scheduling decisions with capacity, SLA, and observability systems.
The Forward Deployed Engineer will partner with business stakeholders to rapidly build and deploy automation and AI-driven solutions. This role involves full-stack engineering, including data pipelining, backend development, and the creation of dashboards to solve complex business problems.
Provide technical support and platform onboarding for enterprise customers using Nerdio, Azure Virtual Desktop, and Microsoft cloud technologies. Collaborate with internal engineering teams to diagnose complex issues and ensure successful incident resolution.
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The Senior Data Engineer will design and implement data solutions for global hotel operations while evolving the cloud-based AWS decision support environment. Responsibilities include developing new data features from conception to deployment and analyzing existing use cases using Python, SQL, and AWS tools.
Lead technical discovery and solution design for strategic enterprise clients, including system demonstrations and integration architecture development. Act as a technical authority to bridge the gap between customer requirements and product engineering teams to ensure successful deployment and scaling.
You will lead the architectural transformation of legacy monolithic systems into scalable, cloud-native microservices while managing global infrastructure. Additionally, you will drive technical vision, mentor engineering teams, and ensure operational resilience through automation and observability.
The engineer will own the API gateway hot path, building Kong or OpenResty plugin logic in Lua. Responsibilities include implementing request classification, tenant identity validation, and ensuring low-latency performance through robust observability and testing.
Develop and maintain a Go-based Linux system agent that handles registration, health heartbeats, and hardware telemetry. Ensure secure machine identity and resilient network behavior for edge-device management.
The engineer will design and develop a Go-based control plane to manage hundreds of Kubernetes clusters across multiple locations. Responsibilities include building cluster registries, state models, and bootstrap workflows to transform bare-metal nodes into Kubernetes-ready infrastructure.
The role involves building and maintaining core distributed Go services for SLA enforcement, capacity management, and compliance routing. You will also design high-concurrency routing logic and integrate with various infrastructure systems like Kubernetes and Redis.
The engineer will own the API layer connecting the Kubernetes lifecycle platform to business operations. Responsibilities include building gRPC and REST APIs for provisioning, cluster inventory, and node health, as well as developing idempotent flows and client SDKs.
Application Security Engineer, AI-Assisted Vulnerability Management
Eclipse Foundation, Inc.
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Full Time
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5 Weeks Ago
Eclipse Foundation, Inc.
Design and implement AI-assisted pipelines to scan open source projects for vulnerabilities and prioritize findings. Collaborate with project maintainers to remediate security flaws and validate fixes through automated and manual workflows.
Provide on-site technical support, maintenance, and repair for automated dispensing systems at healthcare facilities. Manage work orders, maintain inventory, and provide cross-functional support for sales and implementation teams.
Design, develop, and maintain comprehensive test plans and test cases for scalable enterprise applications. Integrate automated tests into CI/CD pipelines and collaborate with cross-functional teams to deliver educational technology solutions.
The Lead Mechanical Program Engineer provides technical expertise during the pre-award phase of complex projects, ensuring alignment with Amazon's operational standards. They act as the primary technical liaison between engineering, sales, and client teams to facilitate project execution and strategic planning.
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The Senior Controls Program Engineer provides technical expertise during the pre-award phase to ensure project alignment with Amazon's standards and operational needs. They act as the primary technical liaison, facilitating communication between engineering, sales, and client teams while overseeing project design reviews and risk assessments.
Staff Backend Engineer - Application Core Services, Stacks | USA | Remote
Grafana Labs
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Full Time
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5 Weeks Ago
Grafana Labs
You will design, build, and operate reconciliation systems to manage the lifecycle of Grafana Cloud stacks at scale. Additionally, you will collaborate across teams to improve operational efficiency, reliability, and incident response for critical customer-facing infrastructure.
Staff Backend Engineer - Application Core Services, Stacks | Canada | Remote
Grafana Labs
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Full Time
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5 Weeks Ago
Grafana Labs
The Staff Backend Engineer will design, build, and operate reconciliation systems to manage Grafana Cloud stack lifecycles at scale. They will collaborate across teams to ensure system reliability, improve operational efficiency, and participate in an on-call rotation.
You will design and deliver scalable, high-performance integration solutions across enterprise systems to enable seamless data exchange. This role involves leading end-to-end integration initiatives using modern iPaaS platforms, event-driven architectures, and managed file transfer solutions.
The Applied AI Staff Engineer will integrate and fine-tune cutting-edge AI models into existing platforms to enhance product capabilities. They will also design evaluation frameworks and collaborate with the data science team to monitor AI performance in production.
Design and build backend APIs and services using TypeScript and NestJS while maintaining high performance and security. Develop and maintain cross-platform CLI tools to provide a seamless local development experience for users.
Design and maintain a robust platform for creating and managing intelligent AI agents with a focus on multi-agent coordination. Collaborate with cross-functional teams to integrate LLMs and orchestration frameworks while ensuring system scalability and data privacy compliance.
You will design and maintain a platform for creating and managing intelligent AI agents with a focus on multi-agent coordination. Additionally, you will integrate various LLMs and develop evaluation frameworks to ensure system-level performance and scalability.
Design, implement, and maintain Go-based microservices and ETL pipelines for system re-platforming. Collaborate with cross-functional teams to ensure high observability, reliability, and real-time data distribution using event-driven architectures.
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Design, implement, and maintain Go microservices while managing ETL re-platforming and real-time data distribution. Ensure system reliability through observability, logging, and integration with platform and DevOps teams.
The SyteLine Systems Engineer is responsible for the installation, configuration, and maintenance of Infor CloudSuite Industrial ERP for new and existing clients. They will also perform software upgrades, provide technical support, and ensure system performance through database management and optimization.
You will investigate, troubleshoot, and resolve technical issues related to customer API and SDK implementations. Additionally, you will communicate effectively with customers and internal stakeholders while contributing to knowledge bases.
The Forward Deployed Engineer will act as a technical partner to strategic customers, managing large-scale GPU cluster deployments and infrastructure optimization. Responsibilities include cluster hardening, performance benchmarking, and providing expert guidance on orchestration layers like Kubernetes and SLURM.
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