Top Remote Systems Engineer Jobs

Lead and support design, deployment, administration, and Tier-2/3 support of AWS and hybrid-cloud systems. Maintain Linux/Windows servers, IP networking, automate operations with IaC/configuration management, produce documentation, and troubleshoot mission-critical infrastructure in a secured, fast-paced environment.

As a Senior Software Engineer for Game Systems, you will develop and optimize game engine features across multiple platforms, focusing on performance, code quality, and collaboration with cross-functional teams.

Design and deliver secure compute hardware for post-quantum cryptography and orbital/terrestrial systems. Own power, thermal, enclosure, and bus architecture design; collaborate with software, security, and systems teams; support FPGA integration, manufacturability, reliability, and environment-specific constraints (radiation, vibration, thermal-vacuum). Deliver iterative hardware releases on aggressive timelines.

Lead engineering of core scheduling and orchestration subsystems for an orbital edge compute platform. Own an MVP for autonomous scheduling across compute node fleets, scale to larger satellite fleets with data sovereignty, design performant and reliable distributed engines, build scheduling and workload-placement logic for intermittent-connectivity edge environments, and provide technical leadership while partnering with cross-functional teams to deliver secure, customer-focused solutions.

Design, deploy, and monitor automation services and core business systems. Implement DevOps standards, manage releases, maintain tooling and version control, produce technical documentation, and collaborate with vendors and engineering teams to deliver reliable, scalable solutions.

Technical lead for Cribl's Federal Systems Integrator partners: drive partner enablement, build reference architectures and enablement content, support capture and post-award delivery, deliver executive briefings, and provide hands-on architecture and deployment guidance to position Cribl in large federal programs.

The Staff Systems Engineer leads a team in designing, building, and supporting infrastructure, ensuring optimal performance and security. Responsibilities include delivery, planning, support, and mentoring junior engineers, along with collaborating on technology solutions and improvements.

Design, develop, test, integrate, and commission control software, PLC/HMI, and SCADA solutions for energy storage and power infrastructure. Implement control algorithms, CI/CD and version control, support FAT/SAT, troubleshoot systems on-site and remotely, ensure compliance with standards, and collaborate across electrical, mechanical, firmware, and field teams.

Lead frontend technical direction for the Trellis design system: design and build a production component library, define accessibility and theming models, create tooling and migration pipelines (codemods, refactoring automation), leverage AI coding agents, mentor senior engineers, and partner with PM/UX to drive frontend architecture and adoption across product teams.

Lead cross-stack adoption of modern toolchains, build and code-health practices, and performance workflows on NVIDIA CPU platforms. Integrate and validate compilers, linkers, cross-compilation, and CI; profile and optimize large codebases; build automation and playbooks; drive integration blockers to owners and communicate measurable before-and-after results to engineering teams and leadership.

Design, build, and improve Elasticsearch distributed-systems components for scalable, concurrent, and consistent indexing. Maintain cluster coordination for performance and resilience, push system scale limits, investigate performance and concurrency issues, support operations/support engineers, and lead projects involving multiple engineers from design through delivery.

The role involves improving Elasticsearch's distributed components, maintaining cluster coordination systems, and addressing complex issues to optimize performance and scalability.

Own and improve backend services for an AI-native learning platform: build Python/Node.js services, design serverless/cloud-native architectures, implement event-driven workflows and advanced NoSQL models, integrate LLM-based features (RAG, embeddings, vector search), ensure production reliability, observability, testing, and frontend API integrations while collaborating in a cross-functional remote team.

Design, implement, and maintain scalable, fault-tolerant backend services for real-time data synchronization and streaming. Optimize latency, throughput, and reliability, guide multi-region and disaster-recovery architecture, own projects from concept to production, and improve observability, automation, and incident response.

Lead design, build, and operation of hybrid/multi-cloud platform infrastructure supporting data and analytics. Implement IaC, automation, observability, security, and AI-assisted tooling; perform reliability engineering, capacity planning, on-call support, and mentor engineers while driving reusable platform patterns and cost optimization.

The Staff Software Engineer will develop a scalable SDWAN application, oversee technology selection to product delivery, collaborate with teams, and improve product efficiency and customer experience.

Perform L3 network troubleshooting and RCA on production enterprise networks, review telemetry/logs/configs, label and annotate network behaviors for ML training, and help define schemas and data pipelines to support AI-driven infrastructure.

As a Founding Engineer, you'll develop disruptive observability products, optimize software stacks, engage with customers, and contribute to company culture.

Build, maintain, and operate cloud-based services and automation for satellite operations. Manage infrastructure, design/deploy critical systems, support microservices and CI/CD workflows, ensure reliability and SLAs, collaborate with cross-functional teams to minimize operational burden and automate satellite operations.

Design, build, and maintain scalable, secure systems and HubSpot enterprise configurations. Develop integrations and automations using scripting and APIs, document systems, train users, manage incidents and maintenance, and improve workflows for digital operations.

Perform power systems engineering studies (EMT, load flow, short-circuit, transient stability, protection, and control) for T&D systems including renewables, BESS, FACTS, and HVDC. Develop and validate simulation models, estimate equipment parameters, prepare technical reports and publications, and support cross-divisional and client engagements while applying industry standards and quality processes.

Lead and perform advanced power system studies (steady-state power flow, contingency, interconnection, mitigation). Develop and validate system and dynamic models, analyze IBRs, prepare technical reports, advise on reliability and planning, and engage with customers and regulatory standards to support transmission planning and project delivery.

Lead growth and technical delivery of power system studies for data centers, focusing on T&D planning, interconnection, operations, and equipment application. Oversee load flow, fault, dynamic, and protection studies using PSCAD and PSS/E, assess grid impacts, support projects from concept through implementation, represent the company in industry forums, and drive business development with utilities, developers, and EROs.

Senior ML Engineer joins a product team to design, build, deploy, and monitor production-grade AI/ML solutions. Responsibilities include algorithm and software design, pairing with teammates, creating scalable data pipelines and infrastructure, implementing model serving and monitoring, performing performance tuning and testing, and supporting product lifecycle and stakeholder collaboration.

Design, build, deploy, and run large-scale infrastructure services on NVIDIA hardware. Define SLOs and observability, automate toil, participate in on-call incident response, and consult with peer teams on systems design and reliability.