Designs scalable optical and structured cabling for hyperscale data centers, mapping logical networks to physical fiber plants, planning transceivers, and ensuring lifecycle scalability. Requires expertise in MPO ecosystems, optics standards, and DCIM integration.
Designs, manages, and secures AWS cloud infrastructure across multi-account environments using Terraform for autonomous vehicle platforms. Requires 3+ years AWS experience, strong IaC skills, and security focus; GovCloud/FedRAMP preferred.
Designs and builds scalable cloud infrastructure systems focusing on compute, networking, storage, and distributed systems. Leads cross-functional efforts, mentors engineers, and optimizes for reliability and cost with 8+ years experience in Go/Java and cloud providers.
Builds infrastructure and simulation engines for training autonomous AI agents in complex environments using reinforcement learning. Requires strong engineering skills in distributed systems, containerization, networking, and data systems.
Infrastructure Engineer on the Foundation team builds and maintains highly available systems and developer tooling to ensure platform stability and productivity for processing mortgage transactions. Requires deep curiosity, full ownership from design to maintenance, and ability to solve hard problems under pressure.
Designs, architects, and scales production GPU/HPC clusters globally. Debugs hardware/software issues, automates operations, and mentors juniors. Requires 5+ years experience and hybrid SF presence.
Build and scale platform infrastructure including real-time EHR integrations, data lakes from TB to PB scale, and core systems for 100x growth. Requires 8+ years in backend systems, deep expertise in Kubernetes, AWS, PostgreSQL, and DevOps practices.
Build and scale backend platform systems including real-time EHR integrations, data lakes from TB to PB scale, and core infrastructure for 100x growth. Requires 5+ years in scalable backends, Kubernetes, AWS, PostgreSQL, and DevOps practices.
Owns build and deployment automation, platform health, scaling, and self-service tools in a multi-account AWS environment. Requires 5+ years DevOps experience, deep AWS knowledge, IaC tools like Terraform/Pulumi, Docker, Python/Bash scripting.
Builds and owns platform infrastructure from scratch including CI/CD, Terraform, AWS services, monitoring, SSO, and APIs for a scaling sales coaching startup. Requires deep experience in cloud infra, IaC, containers, databases, and observability.
Owns end-to-end production-critical infrastructure for analytics platform, building performant backend systems in Rust or C++ and operating distributed services at scale on Kubernetes. Requires strong systems experience in performance optimization, debugging, and on-call reliability.
Designs, builds, and scales customer-facing managed services with a focus on edge agents running on customer infrastructure. Provides technical oversight for high-reliability systems using eBPF, Kubernetes, and low-level Linux metrics; leads cross-team collaboration and mentors engineers.
Leads on-site network and structured cabling troubleshooting in AI data centers as Tier 2 escalation, handling fiber faults, repairs, validation, and tooling deployment. Requires 3+ years datacenter experience with fiber tools and basic network diagnostics.
Owns end-to-end system reliability, incident response, observability, and proactive stability improvements in a serverless AWS environment. Requires 2+ years software engineering with production-facing experience, strong debugging, and hands-on AWS/Go/TypeScript skills.
Senior SRE improves platform reliability using AI-driven automation, leads incident response and oncall for critical services, and implements safe deployment practices. Requires 5+ years experience in backend/platform engineering, observability, and high-availability systems.
Senior IT Systems/Automation Engineer owns and evolves IT automation platforms, leads mobile security and MDM programs, and delivers automation for onboarding, offboarding, and compliance workflows. Requires 5+ years experience with tools like Tines, Jamf, and Okta.
Owns and automates production infrastructure on multi-region AWS with EKS clusters, focusing on scaling, reliability, and self-healing systems. Requires deep Kubernetes, Terraform, and Linux expertise for large-scale stateful workloads.
Designs, builds, and operates reliable cloud infrastructure for real-time voice AI systems. Owns Kubernetes clusters, CI/CD pipelines, observability, and security using AWS and IaC tools. Requires 5+ years DevOps experience with strong Python and async programming skills.
Leads IT Operations, Engineering, and AI Enablement teams to scale infrastructure, ensure security, and integrate AI tools company-wide. Requires 10+ years IT experience with 4-5 years senior leadership in fast-growing tech firms.
Builds and owns distributed training infrastructure, experiment orchestration, data pipelines, and performance optimizations for large-scale AI research on GPU clusters. Requires deep systems expertise, Python/C++/PyTorch proficiency, and ML understanding to accelerate frontier research.
Senior SRE ensures reliability of MongoDB's multi-tenant cloud storage layer by defining SLOs, building resilient infrastructure, optimizing performance, and participating in on-call. Requires 6+ years experience with distributed systems, Python/Go, Kubernetes, and cloud platforms.
Build and own desktop automation execution platform integrating AI agents with Windows sessions via remote protocols like VNC/RDP. Requires deep systems knowledge in OS APIs, accessibility frameworks, and automation infrastructure for reliable enterprise workflows.
Staff SRE on the Fabric team builds and maintains secure multi-cloud networking infrastructure for service communication, leveraging deep networking expertise to ensure resilience and scalability. Requires 10+ years experience in distributed systems and networking fundamentals.
Builds and optimizes scalable cloud/hybrid platforms using DevOps/SRE practices, focusing on automation, CI/CD, observability, and AI/ML workloads. Requires 6+ years Linux, 4+ years IaC on AWS/GCP/Azure, and strong scripting skills.
Leads IT operations for hybrid cloud and on-premise infrastructure, managing Linux/Windows systems, ITIL processes, incident response, automation, and AI/ML workloads. Requires 5+ years leading teams and 10+ years hands-on Linux experience with cloud and DevOps tools.
Develops Linux-based compute applications for managing virtualization stacks across AI compute servers, integrates with AI hardware like GPUs and NICs, and optimizes performance for AI/ML workloads in datacenters. Requires Linux kernel familiarity, systems programming, and hardware integration skills.
Staff-level software engineer builds and scales platform infrastructure across teams, including dev tools, service infra, multicloud, auth, connectivity, API distributability, and ML adaptation systems. Requires 8+ years full-stack experience with Staff leadership, focusing on robust, scalable solutions in fast-paced AI environment.
Lead design, fit-out, and commissioning of data center sites focused on power, cooling, and IT infrastructure for high-density GPU workloads. Build and manage a 20-person operations team, oversee multi-site portfolio, and establish processes from scratch.
Build scalable infrastructure and data pipelines for AI/ML applications in legal tech. Collaborate with ML and dev teams to optimize performance and enhance developer productivity; requires cloud expertise and bachelor's/master's in CS.
Owns performance simulation platform infrastructure for validating autonomy code changes on robot hardware, including benchmarking orchestration, data pipelines, observability, and fleet management. Requires 5+ years experience in Python/C++, Linux systems, data engineering, with technical leadership.
Builds and maintains performance simulation platform with bench-top rigs, cloud orchestration, and data pipelines to validate autonomy code changes for real-time performance on robot hardware. Requires 3+ years experience in Python/C++, Linux systems, data engineering, with technical leadership.
Builds and operates core infrastructure including Kubernetes clusters, geo-deployments, edge security, and cost optimization to support rapid growth and team productivity. Requires deep AWS/K8s experience and strong engineering fundamentals.
Leads infrastructure team managing cloud, networking, storage, and compute for high-scale developer tool. Sets technical direction, codes, hires, and optimizes costs/regional deployments with deep Kubernetes/AWS expertise.
Leads technical architecture for data center operations, overseeing global ticket queues, fleet supportability, power topology, resilience planning, and hardware failure escalations for AI infrastructure. Requires 10+ years in data center ops or HPC with deep NVIDIA GPU expertise.
Builds and scales backend infrastructure and data processing systems for a human risk security platform, ensuring reliability and performance. Requires 3-7+ years in backend/platform engineering with distributed systems, cloud platforms, and data processing tools.
Infrastructure Engineer owns platform reliability, security, and performance in a HIPAA-compliant environment handling healthcare data. Designs infrastructure with Terraform, improves CI/CD workflows, and ensures resilient systems using PostgreSQL and modern cloud tools.
Staff AI Engineer architects AI-native systems for PR review, Android test automation, and agent swarms to accelerate fintech engineering at scale. Requires 5+ years platform engineering, 2+ years production AI agents, and fintech/mobile expertise.
Leads R&D for next-generation data center architectures, evaluating emerging technologies across power, cooling, compute, and facilities. Defines reference designs, guides pilot-to-hyperscale progression, and influences cross-functional teams. Requires 15+ years experience and systems thinking across engineering domains.
Designs end-to-end infrastructure architecture for AI/ML workloads, including multi-cloud strategies, GPU orchestration, storage for massive datasets, and capacity planning to support production inference and research training at scale. Requires 7+ years in systems architecture with deep expertise in Kubernetes, AWS, and GPU infrastructure.
Owns global network infrastructure for real-time voice AI, optimizing latency across hybrid cloud, bare metal, and edge environments. Requires 5+ years in network engineering with expertise in BGP, OSPF, AWS, CDN, and load balancing.
Builds and operates core distributed systems, infrastructure, and service architecture for Phylo's agentic AI platform, ensuring reliable scaled execution across cloud and enterprise environments. Requires 3+ years in backend/infrastructure engineering with Kubernetes and cloud expertise.
Senior Infrastructure Engineer designs and maintains scalable cloud infrastructure, data systems, and security platforms for a fintech company's growing platform. Requires 4+ years experience with AWS, Terraform, and tools like Airflow, Datadog, Postgres.
Leads end-to-end development of scalable distributed systems for infrastructure observability, owns production issues, and collaborates on designs. Requires expertise in Go, Kubernetes, SQL, cloud providers, and observability tools like Clickhouse and Prometheus.
Leads a global team of network engineers designing, building, and operating corporate networks, PoPs, and automation tools. Requires 2+ years managing dispersed teams, deep expertise in BGP, Juniper/Junos, Python automation, and Linux troubleshooting.
Builds and operates supercomputing infrastructure for AI research including 1000+ GPU Kubernetes clusters, distributed data pipelines processing petabytes, and fault-tolerant training systems. Requires strong distributed systems intuition and experience with Python, PyTorch, and large-scale infrastructure.
Designs, builds, and operates GPU supercomputing environments for large-scale AI training and inference. Automates cluster management, extends orchestration systems, and optimizes performance metrics in collaboration with researchers.
Builds and scales core infrastructure for AI model training, data systems, and developer tools in a high-impact team. Requires backend proficiency (Python/Rust), experience with large-scale clusters like Kubernetes, and end-to-end project ownership.
Leads architecture, operation, and vendor strategy for petabyte-scale storage systems optimized for AI/HPC workloads in sustainable cloud infrastructure. Requires 10+ years experience with enterprise storage, scripting, and RFP/vendor management.
Builds and improves reliability, availability, scalability, and performance of ClickHouse core services. Manages on-call, incident response, post-mortems, chaos engineering, and collaborates across teams. Requires 5+ years in reliability engineering and ClickHouse/SQL database experience.
Designs, builds, and operates scalable cloud infrastructure and developer platforms supporting AI/ML workloads. Owns end-to-end systems, builds CI/CD pipelines, ensures reliability with observability tools, and integrates AI-assisted DevOps practices. Requires 5+ years experience with cloud platforms, Kubernetes, and IaC.
Designs scalable optical and structured cabling for hyperscale data centers, mapping logical networks to physical fiber plants, planning transceivers, and ensuring lifecycle scalability. Requires expertise in MPO ecosystems, optics standards, and DCIM integration.
Designs, manages, and secures AWS cloud infrastructure across multi-account environments using Terraform for autonomous vehicle platforms. Requires 3+ years AWS experience, strong IaC skills, and security focus; GovCloud/FedRAMP preferred.
Designs and builds scalable cloud infrastructure systems focusing on compute, networking, storage, and distributed systems. Leads cross-functional efforts, mentors engineers, and optimizes for reliability and cost with 8+ years experience in Go/Java and cloud providers.
Builds infrastructure and simulation engines for training autonomous AI agents in complex environments using reinforcement learning. Requires strong engineering skills in distributed systems, containerization, networking, and data systems.
Infrastructure Engineer on the Foundation team builds and maintains highly available systems and developer tooling to ensure platform stability and productivity for processing mortgage transactions. Requires deep curiosity, full ownership from design to maintenance, and ability to solve hard problems under pressure.
Designs, architects, and scales production GPU/HPC clusters globally. Debugs hardware/software issues, automates operations, and mentors juniors. Requires 5+ years experience and hybrid SF presence.
Build and scale platform infrastructure including real-time EHR integrations, data lakes from TB to PB scale, and core systems for 100x growth. Requires 8+ years in backend systems, deep expertise in Kubernetes, AWS, PostgreSQL, and DevOps practices.
Build and scale backend platform systems including real-time EHR integrations, data lakes from TB to PB scale, and core infrastructure for 100x growth. Requires 5+ years in scalable backends, Kubernetes, AWS, PostgreSQL, and DevOps practices.
Owns build and deployment automation, platform health, scaling, and self-service tools in a multi-account AWS environment. Requires 5+ years DevOps experience, deep AWS knowledge, IaC tools like Terraform/Pulumi, Docker, Python/Bash scripting.
Builds and owns platform infrastructure from scratch including CI/CD, Terraform, AWS services, monitoring, SSO, and APIs for a scaling sales coaching startup. Requires deep experience in cloud infra, IaC, containers, databases, and observability.
Owns end-to-end production-critical infrastructure for analytics platform, building performant backend systems in Rust or C++ and operating distributed services at scale on Kubernetes. Requires strong systems experience in performance optimization, debugging, and on-call reliability.
Designs, builds, and scales customer-facing managed services with a focus on edge agents running on customer infrastructure. Provides technical oversight for high-reliability systems using eBPF, Kubernetes, and low-level Linux metrics; leads cross-team collaboration and mentors engineers.
Leads on-site network and structured cabling troubleshooting in AI data centers as Tier 2 escalation, handling fiber faults, repairs, validation, and tooling deployment. Requires 3+ years datacenter experience with fiber tools and basic network diagnostics.
Owns end-to-end system reliability, incident response, observability, and proactive stability improvements in a serverless AWS environment. Requires 2+ years software engineering with production-facing experience, strong debugging, and hands-on AWS/Go/TypeScript skills.
Senior SRE improves platform reliability using AI-driven automation, leads incident response and oncall for critical services, and implements safe deployment practices. Requires 5+ years experience in backend/platform engineering, observability, and high-availability systems.
Senior IT Systems/Automation Engineer owns and evolves IT automation platforms, leads mobile security and MDM programs, and delivers automation for onboarding, offboarding, and compliance workflows. Requires 5+ years experience with tools like Tines, Jamf, and Okta.
Owns and automates production infrastructure on multi-region AWS with EKS clusters, focusing on scaling, reliability, and self-healing systems. Requires deep Kubernetes, Terraform, and Linux expertise for large-scale stateful workloads.
Designs, builds, and operates reliable cloud infrastructure for real-time voice AI systems. Owns Kubernetes clusters, CI/CD pipelines, observability, and security using AWS and IaC tools. Requires 5+ years DevOps experience with strong Python and async programming skills.
Leads IT Operations, Engineering, and AI Enablement teams to scale infrastructure, ensure security, and integrate AI tools company-wide. Requires 10+ years IT experience with 4-5 years senior leadership in fast-growing tech firms.
Builds and owns distributed training infrastructure, experiment orchestration, data pipelines, and performance optimizations for large-scale AI research on GPU clusters. Requires deep systems expertise, Python/C++/PyTorch proficiency, and ML understanding to accelerate frontier research.
Senior SRE ensures reliability of MongoDB's multi-tenant cloud storage layer by defining SLOs, building resilient infrastructure, optimizing performance, and participating in on-call. Requires 6+ years experience with distributed systems, Python/Go, Kubernetes, and cloud platforms.
Build and own desktop automation execution platform integrating AI agents with Windows sessions via remote protocols like VNC/RDP. Requires deep systems knowledge in OS APIs, accessibility frameworks, and automation infrastructure for reliable enterprise workflows.
Staff SRE on the Fabric team builds and maintains secure multi-cloud networking infrastructure for service communication, leveraging deep networking expertise to ensure resilience and scalability. Requires 10+ years experience in distributed systems and networking fundamentals.
Builds and optimizes scalable cloud/hybrid platforms using DevOps/SRE practices, focusing on automation, CI/CD, observability, and AI/ML workloads. Requires 6+ years Linux, 4+ years IaC on AWS/GCP/Azure, and strong scripting skills.
Leads IT operations for hybrid cloud and on-premise infrastructure, managing Linux/Windows systems, ITIL processes, incident response, automation, and AI/ML workloads. Requires 5+ years leading teams and 10+ years hands-on Linux experience with cloud and DevOps tools.
Develops Linux-based compute applications for managing virtualization stacks across AI compute servers, integrates with AI hardware like GPUs and NICs, and optimizes performance for AI/ML workloads in datacenters. Requires Linux kernel familiarity, systems programming, and hardware integration skills.
Staff-level software engineer builds and scales platform infrastructure across teams, including dev tools, service infra, multicloud, auth, connectivity, API distributability, and ML adaptation systems. Requires 8+ years full-stack experience with Staff leadership, focusing on robust, scalable solutions in fast-paced AI environment.
Lead design, fit-out, and commissioning of data center sites focused on power, cooling, and IT infrastructure for high-density GPU workloads. Build and manage a 20-person operations team, oversee multi-site portfolio, and establish processes from scratch.
Build scalable infrastructure and data pipelines for AI/ML applications in legal tech. Collaborate with ML and dev teams to optimize performance and enhance developer productivity; requires cloud expertise and bachelor's/master's in CS.
Owns performance simulation platform infrastructure for validating autonomy code changes on robot hardware, including benchmarking orchestration, data pipelines, observability, and fleet management. Requires 5+ years experience in Python/C++, Linux systems, data engineering, with technical leadership.
Builds and maintains performance simulation platform with bench-top rigs, cloud orchestration, and data pipelines to validate autonomy code changes for real-time performance on robot hardware. Requires 3+ years experience in Python/C++, Linux systems, data engineering, with technical leadership.
Builds and operates core infrastructure including Kubernetes clusters, geo-deployments, edge security, and cost optimization to support rapid growth and team productivity. Requires deep AWS/K8s experience and strong engineering fundamentals.
Leads infrastructure team managing cloud, networking, storage, and compute for high-scale developer tool. Sets technical direction, codes, hires, and optimizes costs/regional deployments with deep Kubernetes/AWS expertise.
Leads technical architecture for data center operations, overseeing global ticket queues, fleet supportability, power topology, resilience planning, and hardware failure escalations for AI infrastructure. Requires 10+ years in data center ops or HPC with deep NVIDIA GPU expertise.
Builds and scales backend infrastructure and data processing systems for a human risk security platform, ensuring reliability and performance. Requires 3-7+ years in backend/platform engineering with distributed systems, cloud platforms, and data processing tools.
Infrastructure Engineer owns platform reliability, security, and performance in a HIPAA-compliant environment handling healthcare data. Designs infrastructure with Terraform, improves CI/CD workflows, and ensures resilient systems using PostgreSQL and modern cloud tools.
Staff AI Engineer architects AI-native systems for PR review, Android test automation, and agent swarms to accelerate fintech engineering at scale. Requires 5+ years platform engineering, 2+ years production AI agents, and fintech/mobile expertise.
Leads R&D for next-generation data center architectures, evaluating emerging technologies across power, cooling, compute, and facilities. Defines reference designs, guides pilot-to-hyperscale progression, and influences cross-functional teams. Requires 15+ years experience and systems thinking across engineering domains.
Designs end-to-end infrastructure architecture for AI/ML workloads, including multi-cloud strategies, GPU orchestration, storage for massive datasets, and capacity planning to support production inference and research training at scale. Requires 7+ years in systems architecture with deep expertise in Kubernetes, AWS, and GPU infrastructure.
Owns global network infrastructure for real-time voice AI, optimizing latency across hybrid cloud, bare metal, and edge environments. Requires 5+ years in network engineering with expertise in BGP, OSPF, AWS, CDN, and load balancing.
Builds and operates core distributed systems, infrastructure, and service architecture for Phylo's agentic AI platform, ensuring reliable scaled execution across cloud and enterprise environments. Requires 3+ years in backend/infrastructure engineering with Kubernetes and cloud expertise.
Senior Infrastructure Engineer designs and maintains scalable cloud infrastructure, data systems, and security platforms for a fintech company's growing platform. Requires 4+ years experience with AWS, Terraform, and tools like Airflow, Datadog, Postgres.
Leads end-to-end development of scalable distributed systems for infrastructure observability, owns production issues, and collaborates on designs. Requires expertise in Go, Kubernetes, SQL, cloud providers, and observability tools like Clickhouse and Prometheus.
Leads a global team of network engineers designing, building, and operating corporate networks, PoPs, and automation tools. Requires 2+ years managing dispersed teams, deep expertise in BGP, Juniper/Junos, Python automation, and Linux troubleshooting.
Builds and operates supercomputing infrastructure for AI research including 1000+ GPU Kubernetes clusters, distributed data pipelines processing petabytes, and fault-tolerant training systems. Requires strong distributed systems intuition and experience with Python, PyTorch, and large-scale infrastructure.
Designs, builds, and operates GPU supercomputing environments for large-scale AI training and inference. Automates cluster management, extends orchestration systems, and optimizes performance metrics in collaboration with researchers.
Builds and scales core infrastructure for AI model training, data systems, and developer tools in a high-impact team. Requires backend proficiency (Python/Rust), experience with large-scale clusters like Kubernetes, and end-to-end project ownership.
Leads architecture, operation, and vendor strategy for petabyte-scale storage systems optimized for AI/HPC workloads in sustainable cloud infrastructure. Requires 10+ years experience with enterprise storage, scripting, and RFP/vendor management.
Builds and improves reliability, availability, scalability, and performance of ClickHouse core services. Manages on-call, incident response, post-mortems, chaos engineering, and collaborates across teams. Requires 5+ years in reliability engineering and ClickHouse/SQL database experience.
Designs, builds, and operates scalable cloud infrastructure and developer platforms supporting AI/ML workloads. Owns end-to-end systems, builds CI/CD pipelines, ensures reliability with observability tools, and integrates AI-assisted DevOps practices. Requires 5+ years experience with cloud platforms, Kubernetes, and IaC.