Develops and maintains internal software tools to accelerate engineering workflows for cutting-edge aircraft, integrating EDA, CAD, and PLM systems. Requires 5+ years experience with Python, C++, JavaScript, SQL, Docker, CI/CD, and cloud platforms.
Designs, develops, and operates large-scale distributed infrastructure for Confluent Cloud, focusing on reliability, scalability, and performance across AWS, Azure, and GCP. Requires 4+ years experience in cloud platforms, systems operations, and statically typed languages like Java or Go.
Builds and scales platform infrastructure on AWS EKS with GitOps via ArgoCD, manages CI/CD with GitHub Actions, drives observability using Datadog/Sentry/CloudWatch, and ensures reliability through SLOs and incident response. Requires 3+ years SRE/DevOps experience and Kubernetes expertise.
Builds and scales infrastructure platforms including compute, storage, and networking on AWS with Kubernetes. Designs monitoring/alerting systems, collaborates on scalable app designs, and improves systems for global expansion using Python, Terraform, and observability tools.
Builds and maintains automated testing infrastructure, CI/CD pipelines, and developer tools using Cypress and GitHub Actions/CircleCI. Mentors QA engineers and drives testing best practices in a legal SaaS platform. Requires 5+ years Cypress experience and expertise in major languages.
Builds and operates scalable observability platforms for metrics, logs, traces across GPU, HPC infrastructure. Designs telemetry pipelines, alerting, and multi-tenant systems using Prometheus, Grafana, Kafka; requires 5+ years SRE/infra experience.
Builds reliable AI-powered systems for Bits AI SRE at Datadog, focusing on chat, remediations, and codefixes to resolve production issues. Requires 5+ years backend experience in Go, LLM prompt engineering, and productionizing AI workflows.
Builds and maintains Kubernetes-based infrastructure for managed TimescaleDB cloud services, develops Go microservices and operators, automates database operations, and ensures platform scalability and reliability. Requires 3+ years experience with Go, Kubernetes, and PostgreSQL.
Develops and maintains custom networking operating system firmware for AI supercomputers, integrating Linux kernel, switch ASICs, and control-plane services. Requires deep expertise in SONiC, SAI, routing protocols, and platform bring-up across hardware and software boundaries.
Leads full lifecycle of BMS and EPMS systems in AI data centers, including commissioning, troubleshooting, controls programming, and standards development. Requires expertise in data center controls, protocols like BACnet/Modbus, and 50%+ travel.
Software engineering intern on Cloud Platform team builds and scales cloud infrastructure, CI/CD systems, and observability tools for drone autonomy. Targets students with backend/web development experience in Python/Golang/JS and cloud services.
Designs, operates, and optimizes large-scale PostgreSQL and MySQL databases for mission-critical systems. Builds automation, monitoring, and high-availability infrastructure while leading incident response and collaborating with engineering teams. Requires 4+ years PostgreSQL experience.
Build scalable infrastructure, integrations, and data platforms powering workforce management and AI agent products at enterprise scale. Requires 5+ years in backend/platform systems, with expertise in AWS, Kubernetes, Go/Python, and datastores like Postgres and Snowflake.
Leads end-to-end integration of agentic platform tools with clients, backends, and cloud ops on Kubernetes. Requires 7+ years experience, strong Python, HTTP/auth expertise, and cross-functional collaboration for reliable tool contracts and releases.
Senior Platform Engineer architects and maintains infrastructure for autonomous vehicle orchestration platform, building CI/CD pipelines, managing AWS/on-premises/edge deployments, and ensuring DoD security compliance. Requires 5+ years in DevOps with Docker, AWS, and IaC expertise.
Senior Production Engineer ensures reliability, scalability, and performance of GPU cloud infrastructure powering AI workloads. Drives observability, incident response, automation, and operational improvements in large-scale distributed systems.
Leads technical strategy and builds scalable developer infrastructure including build systems, CI/CD pipelines, and tooling for large monorepo environments. Requires 3+ years leading complex projects, proficiency in Python/Rust/Go, and experience with container orchestration.
Leads NOC operations monitoring platform health, managing incidents, mentoring engineers, and creating performance dashboards/reports. Requires 1-3+ years in network ops/business analytics with 2+ years leadership, cloud/observability tool experience.
Leads infrastructure transformation from monoliths to scalable microservices at massive scale, architects observability/CI/CD systems, unifies complex stacks, and mentors engineers. Requires 10+ years coding internal tools, 5+ years cloud (GCP/AWS), Bachelor's in CS.
Builds and scales core infrastructure including ML training/serving, Kubernetes clusters, and low-latency voice/audio pipelines. Requires 3+ years in infrastructure/ML systems, hands-on reliability engineering, and Kubernetes expertise.
Site Reliability Engineer drives end-to-end reliability for AI fine-tuning platform Tinker, including SLOs, monitoring, incident response, and multi-tenant GPU scheduling. Requires distributed systems experience, software proficiency for reliability, and production incident handling.
Designs and optimizes distributed training systems scaling across thousands of GPUs for large AI models. Requires strong systems engineering, PyTorch/JAX expertise, and collaborative mindset to boost research productivity.
Designs and optimizes infrastructure for scalable reinforcement learning training of large models, improving reliability, observability, and throughput. Collaborates with researchers to productionize RL algorithms; requires strong engineering skills and deep learning framework knowledge.
Designs and optimizes distributed training infrastructure for large-scale LLMs, focusing on low-precision numerics, kernel optimizations, and communication frameworks to enable stable, scalable trillion-parameter model training. Requires strong systems engineering, deep learning frameworks knowledge, and collaborative research mindset.
Designs and optimizes high-performance ML kernels (CUDA, CuTe, Triton) for large-scale LLM training, focusing on GPU efficiency, low-precision formats, and distributed compute. Collaborates with researchers to bridge algorithms and hardware.
Designs, optimizes, and scales infrastructure for high-performance AI model inference, focusing on latency, throughput, efficiency, and reliability. Collaborates with researchers to enable production deployment of large-scale models using deep learning frameworks and distributed systems.
Owns hermetic, deterministic build system for TypeScript/Rust monorepo with protobuf integration. Migrates to Bazel/Buck2/Pants, implements remote execution/caching, ensures reproducibility across local/CI environments for scaling team.
Site Reliability Engineer owns the lifecycle of services powering autonomous vehicles, designing fault-tolerant systems, building monitoring tools, leading incident response, and ensuring infrastructure resilience with large-scale data processing on CPUs/GPUs. Requires 5+ years SRE experience, cloud/IaC expertise, Kubernetes, and strong programming skills.
Senior engineer designs and implements core framework and runtimes for self-driving software stack, optimizing GPU/CPU execution graphs for latency/reliability, building observability tools, and owning subsystems. Requires 5+ years C++, multithreading, Linux, and complex systems experience.
Builds and operates resilient systems for autonomous vehicle fleet reliability, including pipelines for signal analysis, automated triage tools, internal workflows, and leading investigations. Requires production software experience and strong debugging skills in Python, Go, Bash, C++.
Builds foundational platform architecture for AI research agents, including SDKs, APIs, execution frameworks, and benchmarking infrastructure to enable researchers to develop intelligent systems over scholarly literature. Requires strong Python skills, 8+ years experience, cloud infrastructure, and AI integration expertise.
Optimizes performance across Codex AI system's stack including LLM inference, cloud orchestration, and agent behavior to reduce latency and costs. Collaborates with researchers and engineers on high-impact improvements in a high-ownership role.
Builds and scales developer platforms, CI/CD systems, testing infrastructure, and AI integrations to boost engineering velocity and reliability at an AI-native company. Requires 7+ years backend experience, leadership, and tools like Python, Kubernetes, and Terraform.
Build high-scale observability pipelines and alerting engines handling 1M+ RPS for logs/metrics, develop Golang/Rust gRPC services and APIs, and manage immutable infrastructure with Terraform/Ansible in a distributed systems environment.
Builds and improves cloud infrastructure and tools using software-driven approaches for a telemetry platform. Requires expertise in JavaScript/Node.js/TypeScript, Terraform, Linux systems, and large-scale distributed systems; involves on-call duties.
Builds and owns developer platform infrastructure including CI/CD pipelines, environment parity, observability, and AI-assisted tooling on AWS ECS/RDS. Requires 5+ years designing deployment systems, production AWS debugging, and eliminating deployment toil.
Owns GPU diagnostics, validation workflows, and automation for bare-metal infrastructure supporting AI/ML workloads. Requires 5+ years in systems engineering with strong Linux, Python, and NVIDIA tools expertise.
Operate and scale distributed storage systems like VAST and Ceph for AI/ML workloads, build Python automation tools, manage Linux bare-metal systems, and collaborate on infrastructure optimizations. Requires 5+ years in infrastructure engineering with storage expertise.
Build automation and systems to provision and orchestrate GPU hardware into scalable Kubernetes clusters. Requires deep Linux expertise, provisioning experience, and strong programming in Python/Go.
Builds and scales reliable infrastructure for SaaS applications using Kubernetes, Terraform, and GitHub CI/CD. Focuses on observability with Grafana/Prometheus, automation to reduce toil, production troubleshooting, and cross-team collaboration. Requires 5+ years Python experience.
Deploys, operates, and troubleshoots network infrastructure including routers, switches, Linux appliances, and AWS resources for edge-deployed communications in DDIL environments. Requires 5+ years network engineering experience, Linux proficiency, IaC automation, and 50% domestic travel.
Builds and operates research infrastructure for large-scale AI model training and inference across GPU fleets. Partners with scientists and engineers to create scheduling, orchestration, and dev tooling for efficient experimentation. Requires 5+ years in distributed systems and systems programming.
Builds and operates research infrastructure for large-scale AI model training and inference across GPU fleets. Partners with scientists and engineers to create scheduling, orchestration, and dev tooling for efficient experimentation. Requires 5+ years in distributed systems and systems programming.
Manages and optimizes Finance & GTM systems like NetSuite and Salesforce, handling configurations, integrations, workflows, and AI initiatives. Partners with stakeholders to deliver scalable solutions for Finance and Revenue teams. Requires 5+ years experience with 3+ in NetSuite and Salesforce admin.
Builds infrastructure platform using code to support engineering teams with Kubernetes, cloud, and deployment tooling. Requires 5+ years experience in distributed systems, Go/Python/Ruby, and IaC tools like Terraform on GCP/AWS.
Builds and supports automation, CI/CD processes for desktop/mobile apps across 1000+ repositories in multiple languages and platforms to scale to 200M users. Requires 15+ years experience in build/release engineering, OS expertise, and tools like TeamCity, Jenkins, AWS.
Designs and builds scalable infrastructure for AI products, focusing on cloud platforms, Kubernetes orchestration, CI/CD pipelines, and observability. Requires 3+ years in infrastructure engineering and bachelor's/master's in CS.
Leads design, operation, and evolution of highly reliable, scalable production infrastructure including cloud, databases, and observability. Drives incident response, SRE practices, automation, and capacity planning for large-scale distributed systems. Requires 7-12+ years in SRE/infrastructure engineering.
Leads incident response operations for product and engineering, serving as on-call commander to coordinate cross-functional teams, manage communications, and improve processes during high-stakes incidents. Requires 5+ years in incident management with technical depth in infrastructure and cloud systems.
Leads SRE strategy, reliability, observability, incident management, and QA for cloud-native healthcare EMR platform. Oversees Azure AKS, Kubernetes, CI/CD, and vendor teams; requires 12+ years SRE experience with 5+ years leadership.
Develops and maintains internal software tools to accelerate engineering workflows for cutting-edge aircraft, integrating EDA, CAD, and PLM systems. Requires 5+ years experience with Python, C++, JavaScript, SQL, Docker, CI/CD, and cloud platforms.
Designs, develops, and operates large-scale distributed infrastructure for Confluent Cloud, focusing on reliability, scalability, and performance across AWS, Azure, and GCP. Requires 4+ years experience in cloud platforms, systems operations, and statically typed languages like Java or Go.
Builds and scales platform infrastructure on AWS EKS with GitOps via ArgoCD, manages CI/CD with GitHub Actions, drives observability using Datadog/Sentry/CloudWatch, and ensures reliability through SLOs and incident response. Requires 3+ years SRE/DevOps experience and Kubernetes expertise.
Builds and scales infrastructure platforms including compute, storage, and networking on AWS with Kubernetes. Designs monitoring/alerting systems, collaborates on scalable app designs, and improves systems for global expansion using Python, Terraform, and observability tools.
Builds and maintains automated testing infrastructure, CI/CD pipelines, and developer tools using Cypress and GitHub Actions/CircleCI. Mentors QA engineers and drives testing best practices in a legal SaaS platform. Requires 5+ years Cypress experience and expertise in major languages.
Builds and operates scalable observability platforms for metrics, logs, traces across GPU, HPC infrastructure. Designs telemetry pipelines, alerting, and multi-tenant systems using Prometheus, Grafana, Kafka; requires 5+ years SRE/infra experience.
Builds reliable AI-powered systems for Bits AI SRE at Datadog, focusing on chat, remediations, and codefixes to resolve production issues. Requires 5+ years backend experience in Go, LLM prompt engineering, and productionizing AI workflows.
Builds and maintains Kubernetes-based infrastructure for managed TimescaleDB cloud services, develops Go microservices and operators, automates database operations, and ensures platform scalability and reliability. Requires 3+ years experience with Go, Kubernetes, and PostgreSQL.
Develops and maintains custom networking operating system firmware for AI supercomputers, integrating Linux kernel, switch ASICs, and control-plane services. Requires deep expertise in SONiC, SAI, routing protocols, and platform bring-up across hardware and software boundaries.
Leads full lifecycle of BMS and EPMS systems in AI data centers, including commissioning, troubleshooting, controls programming, and standards development. Requires expertise in data center controls, protocols like BACnet/Modbus, and 50%+ travel.
Software engineering intern on Cloud Platform team builds and scales cloud infrastructure, CI/CD systems, and observability tools for drone autonomy. Targets students with backend/web development experience in Python/Golang/JS and cloud services.
Designs, operates, and optimizes large-scale PostgreSQL and MySQL databases for mission-critical systems. Builds automation, monitoring, and high-availability infrastructure while leading incident response and collaborating with engineering teams. Requires 4+ years PostgreSQL experience.
Build scalable infrastructure, integrations, and data platforms powering workforce management and AI agent products at enterprise scale. Requires 5+ years in backend/platform systems, with expertise in AWS, Kubernetes, Go/Python, and datastores like Postgres and Snowflake.
Leads end-to-end integration of agentic platform tools with clients, backends, and cloud ops on Kubernetes. Requires 7+ years experience, strong Python, HTTP/auth expertise, and cross-functional collaboration for reliable tool contracts and releases.
Senior Platform Engineer architects and maintains infrastructure for autonomous vehicle orchestration platform, building CI/CD pipelines, managing AWS/on-premises/edge deployments, and ensuring DoD security compliance. Requires 5+ years in DevOps with Docker, AWS, and IaC expertise.
Senior Production Engineer ensures reliability, scalability, and performance of GPU cloud infrastructure powering AI workloads. Drives observability, incident response, automation, and operational improvements in large-scale distributed systems.
Leads technical strategy and builds scalable developer infrastructure including build systems, CI/CD pipelines, and tooling for large monorepo environments. Requires 3+ years leading complex projects, proficiency in Python/Rust/Go, and experience with container orchestration.
Leads NOC operations monitoring platform health, managing incidents, mentoring engineers, and creating performance dashboards/reports. Requires 1-3+ years in network ops/business analytics with 2+ years leadership, cloud/observability tool experience.
Leads infrastructure transformation from monoliths to scalable microservices at massive scale, architects observability/CI/CD systems, unifies complex stacks, and mentors engineers. Requires 10+ years coding internal tools, 5+ years cloud (GCP/AWS), Bachelor's in CS.
Builds and scales core infrastructure including ML training/serving, Kubernetes clusters, and low-latency voice/audio pipelines. Requires 3+ years in infrastructure/ML systems, hands-on reliability engineering, and Kubernetes expertise.
Site Reliability Engineer drives end-to-end reliability for AI fine-tuning platform Tinker, including SLOs, monitoring, incident response, and multi-tenant GPU scheduling. Requires distributed systems experience, software proficiency for reliability, and production incident handling.
Designs and optimizes distributed training systems scaling across thousands of GPUs for large AI models. Requires strong systems engineering, PyTorch/JAX expertise, and collaborative mindset to boost research productivity.
Designs and optimizes infrastructure for scalable reinforcement learning training of large models, improving reliability, observability, and throughput. Collaborates with researchers to productionize RL algorithms; requires strong engineering skills and deep learning framework knowledge.
Designs and optimizes distributed training infrastructure for large-scale LLMs, focusing on low-precision numerics, kernel optimizations, and communication frameworks to enable stable, scalable trillion-parameter model training. Requires strong systems engineering, deep learning frameworks knowledge, and collaborative research mindset.
Designs and optimizes high-performance ML kernels (CUDA, CuTe, Triton) for large-scale LLM training, focusing on GPU efficiency, low-precision formats, and distributed compute. Collaborates with researchers to bridge algorithms and hardware.
Designs, optimizes, and scales infrastructure for high-performance AI model inference, focusing on latency, throughput, efficiency, and reliability. Collaborates with researchers to enable production deployment of large-scale models using deep learning frameworks and distributed systems.
Owns hermetic, deterministic build system for TypeScript/Rust monorepo with protobuf integration. Migrates to Bazel/Buck2/Pants, implements remote execution/caching, ensures reproducibility across local/CI environments for scaling team.
Site Reliability Engineer owns the lifecycle of services powering autonomous vehicles, designing fault-tolerant systems, building monitoring tools, leading incident response, and ensuring infrastructure resilience with large-scale data processing on CPUs/GPUs. Requires 5+ years SRE experience, cloud/IaC expertise, Kubernetes, and strong programming skills.
Senior engineer designs and implements core framework and runtimes for self-driving software stack, optimizing GPU/CPU execution graphs for latency/reliability, building observability tools, and owning subsystems. Requires 5+ years C++, multithreading, Linux, and complex systems experience.
Builds and operates resilient systems for autonomous vehicle fleet reliability, including pipelines for signal analysis, automated triage tools, internal workflows, and leading investigations. Requires production software experience and strong debugging skills in Python, Go, Bash, C++.
Builds foundational platform architecture for AI research agents, including SDKs, APIs, execution frameworks, and benchmarking infrastructure to enable researchers to develop intelligent systems over scholarly literature. Requires strong Python skills, 8+ years experience, cloud infrastructure, and AI integration expertise.
Optimizes performance across Codex AI system's stack including LLM inference, cloud orchestration, and agent behavior to reduce latency and costs. Collaborates with researchers and engineers on high-impact improvements in a high-ownership role.
Builds and scales developer platforms, CI/CD systems, testing infrastructure, and AI integrations to boost engineering velocity and reliability at an AI-native company. Requires 7+ years backend experience, leadership, and tools like Python, Kubernetes, and Terraform.
Build high-scale observability pipelines and alerting engines handling 1M+ RPS for logs/metrics, develop Golang/Rust gRPC services and APIs, and manage immutable infrastructure with Terraform/Ansible in a distributed systems environment.
Builds and improves cloud infrastructure and tools using software-driven approaches for a telemetry platform. Requires expertise in JavaScript/Node.js/TypeScript, Terraform, Linux systems, and large-scale distributed systems; involves on-call duties.
Builds and owns developer platform infrastructure including CI/CD pipelines, environment parity, observability, and AI-assisted tooling on AWS ECS/RDS. Requires 5+ years designing deployment systems, production AWS debugging, and eliminating deployment toil.
Owns GPU diagnostics, validation workflows, and automation for bare-metal infrastructure supporting AI/ML workloads. Requires 5+ years in systems engineering with strong Linux, Python, and NVIDIA tools expertise.
Operate and scale distributed storage systems like VAST and Ceph for AI/ML workloads, build Python automation tools, manage Linux bare-metal systems, and collaborate on infrastructure optimizations. Requires 5+ years in infrastructure engineering with storage expertise.
Build automation and systems to provision and orchestrate GPU hardware into scalable Kubernetes clusters. Requires deep Linux expertise, provisioning experience, and strong programming in Python/Go.
Builds and scales reliable infrastructure for SaaS applications using Kubernetes, Terraform, and GitHub CI/CD. Focuses on observability with Grafana/Prometheus, automation to reduce toil, production troubleshooting, and cross-team collaboration. Requires 5+ years Python experience.
Deploys, operates, and troubleshoots network infrastructure including routers, switches, Linux appliances, and AWS resources for edge-deployed communications in DDIL environments. Requires 5+ years network engineering experience, Linux proficiency, IaC automation, and 50% domestic travel.
Builds and operates research infrastructure for large-scale AI model training and inference across GPU fleets. Partners with scientists and engineers to create scheduling, orchestration, and dev tooling for efficient experimentation. Requires 5+ years in distributed systems and systems programming.
Builds and operates research infrastructure for large-scale AI model training and inference across GPU fleets. Partners with scientists and engineers to create scheduling, orchestration, and dev tooling for efficient experimentation. Requires 5+ years in distributed systems and systems programming.
Manages and optimizes Finance & GTM systems like NetSuite and Salesforce, handling configurations, integrations, workflows, and AI initiatives. Partners with stakeholders to deliver scalable solutions for Finance and Revenue teams. Requires 5+ years experience with 3+ in NetSuite and Salesforce admin.
Builds infrastructure platform using code to support engineering teams with Kubernetes, cloud, and deployment tooling. Requires 5+ years experience in distributed systems, Go/Python/Ruby, and IaC tools like Terraform on GCP/AWS.
Builds and supports automation, CI/CD processes for desktop/mobile apps across 1000+ repositories in multiple languages and platforms to scale to 200M users. Requires 15+ years experience in build/release engineering, OS expertise, and tools like TeamCity, Jenkins, AWS.
Designs and builds scalable infrastructure for AI products, focusing on cloud platforms, Kubernetes orchestration, CI/CD pipelines, and observability. Requires 3+ years in infrastructure engineering and bachelor's/master's in CS.
Leads design, operation, and evolution of highly reliable, scalable production infrastructure including cloud, databases, and observability. Drives incident response, SRE practices, automation, and capacity planning for large-scale distributed systems. Requires 7-12+ years in SRE/infrastructure engineering.
Leads incident response operations for product and engineering, serving as on-call commander to coordinate cross-functional teams, manage communications, and improve processes during high-stakes incidents. Requires 5+ years in incident management with technical depth in infrastructure and cloud systems.
Leads SRE strategy, reliability, observability, incident management, and QA for cloud-native healthcare EMR platform. Oversees Azure AKS, Kubernetes, CI/CD, and vendor teams; requires 12+ years SRE experience with 5+ years leadership.