{"schemaVersion":"jobsearcher.job.v1","id":"24307c2edfe5700f6e2291b9","url":"https://jobsearcher.com/jobs/24307c2edfe5700f6e2291b9","canonicalUrl":"https://jobsearcher.com/jobs/24307c2edfe5700f6e2291b9","title":"DevOps Engineer","description":"PREVENT DISASTER. PROTECT HUMANITY.--------------------Location: San Francisco, CA — On-site ONLYStart: ImmediateEstimated TC: up to ~$250,000Cash Compensation: $160,000–$200,000Position: DevOps Engineer--------------------We are on a mission to safeguard humanity, create American resilience, and neutralize catastrophic Category 5 hurricanes.--------------------Aeolus is working on a problem that has historically lived at the edge of government-scale science: understanding, predicting, and eventually weakening the most destructive storms before they reach land. We are building the modeling, sensing, simulation, and field-engineering stack needed to turn hurricane intervention from a research frontier into an operational capability.Our team brings together atmospheric science, cloud physics, ML weather modeling, high-performance simulation, aerospace systems, environmental sensing, and software engineering. We are small enough that every major system still has a clear owner, but ambitious enough that our work touches problems normally reserved for national labs, weather agencies, and large aerospace programs.We are now seeking an exceptional DevOps Engineer to own the infrastructure layer beneath all of this: the cloud environments, deployment systems, CI/CD, infrastructure-as-code, and scalable compute systems that let a deeply technical 22-person team move with the leverage of a much larger organization.DevOps Engineer:You will take ownership of the cloud infrastructure, deployment systems, and compute environments that power Aeolus's scientific, ML, and engineering work. You'll be the technical foundation our scientists, ML engineers, software engineers, and operations teams build on — designing and operating the cloud environments, CI/CD pipelines, infrastructure-as-code, and scalable compute systems that keep our platform reliable, secure, cost-efficient, and fast.ResponsibilitiesCloud Infrastructure Ownership: Own and operate our cloud infrastructure across AWS, GCP, and other compute providers, ensuring reliability, security, scalability, and cost efficiencyInfrastructure-as-Code: Lead the development and maintenance of Terraform-based infrastructure across development, staging, research, and production environmentsCI/CD & Deployment Systems: Design and operate CI/CD pipelines that enable fast, safe, reproducible delivery of our modeling, data, and software systemsCloud Architecture: Guide architectural decisions for cloud deployments and establish reusable patterns, best practices, and guardrails for the engineering teamContainers & Runtime: Manage containerized workloads, including Docker image builds, container registries, runtime environments, and orchestration across AWS/GCP infrastructureHPC & GPU Compute: Build and maintain scalable compute environments for HPC and GPU workloads, including cluster management, job scheduling, provisioning, and cost-aware scalingObservability & Reliability: Implement metrics, logging, tracing, alerting, dashboards, and runbooks across our infrastructure stackData Infrastructure Support: Partner with software engineers and scientists to optimize infrastructure for processing massive meteorological, satellite, radar, and simulation datasetsSecurity & Governance: Drive security, IAM, networking, compliance, secrets management, and cost governance across our cloud footprintDeveloper Enablement: Make the infrastructure easy for scientists and engineers to use without sacrificing reliability, reproducibility, or operational disciplineQualificationsBS/MS in Computer Science, Engineering, or related technical field, or equivalent practical experienceStrong hands-on experience with AWS and GCP, including compute, networking, storage, IAM, VPCs, and security groupsDeep proficiency with Terraform and infrastructure-as-code in production environmentsExperience designing, operating, and improving CI/CD systems such as GitHub Actions, GitLab CI, or similar toolsSolid understanding of containerization and orchestration, including Docker and Kubernetes or equivalent systemsExperience managing Linux systems, shell scripting, networking, permissions, secrets, and production operational workflowsStrong judgment around reliability, security, cost, and developer velocityAbility to work directly with scientists, ML engineers, and software engineers to translate messy technical requirements into durable infrastructureTechnical ExpertiseCloud Platforms: AWS, GCP, and multi-cloud infrastructure patternsInfrastructure-as-Code: Terraform, reusable modules, environment management, state management, and secure provisioningCI/CD: GitHub Actions, GitLab CI, automated testing, deployment workflows, artifact management, and release disciplineContainers: Docker, container registries, Kubernetes or equivalent orchestration systemsHPC/GPU: GPU provisioning, cluster management, job scheduling, high-throughput compute environments, and cost-aware scalingNetworking & Security: VPCs, IAM, security groups, service accounts, secrets, access control, and production security hygieneObservability: Metrics, logs, tracing, alerting, dashboards, incident response, and operational runbooksNice to HaveExperience with HPC environments and job schedulers such as SLURM, AWS ParallelCluster, or similar systemsFamiliarity with GPU compute infrastructure, including provisioning, scheduling, utilization tracking, and cost managementExperience with container runtimes for HPC, including Apptainer/Singularity, Pyxis, or enrootBackground working with scientific, meteorological, geospatial, or data-intensive workloadsExperience supporting large-scale data pipelines, model training, simulation workloads, or numerical computing systemsKnowledge of serverless and event-driven architectures such as AWS Lambda, GCP Cloud Run, Modal, or similar platformsFamiliarity with workflow orchestration platforms such as Dagster, Airflow, or PrefectPrior work in research-oriented, field-oriented, defense, aerospace, scientific computing, or safety-critical environmentsExperience with cost optimization, cloud financial controls, and FinOps practices, Infrastructure & Platform CraftYou care about clean infrastructure, reproducible environments, strong defaults, and systems that other engineers can actually use.You know when to move fast and when to slow down and build the right operational foundation.You are comfortable working across cloud infrastructure, scientific computing, CI/CD, security, and production reliability.You can operate in ambiguity, make pragmatic tradeoffs, and build systems that support both research velocity and real-world deployment.Willingness To:Work in person five days a week in San FranciscoBuild infrastructure for an early-stage company attempting something extremely hardWork closely with atmospheric scientists, ML engineers, software engineers, controls engineers, and field teamsSupport systems that may eventually power real-world flight operations and weather intervention missionsMove quickly without losing operational disciplineHelp build the infrastructure backbone for a company trying to stop environmental disasterCompensation & BenefitsCash compensation: $160,000–$230,000 depending on experience and levelEstimated total compensation: up to ~$300,000Benefits: Full health, dental, and vision insurancePTO: Flexible PTOLocation: In-person role based in San Francisco, CAThis position is centered on building the infrastructure that powers Aeolus's modeling, data, simulation, and intervention systems. You'll work shoulder-to-shoulder with our scientific, engineering, and operational teams to deliver robust, scalable, field-ready capability.To apply, please fill out the application and email your resume and a brief note about why you're interested in Aeolus to: jobs@aeolus.earth","company":"Aeolus","rawCompany":"aeolus","city":"Sacramento","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-06-11T11:14:45.204Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1244.00","title":"Network and Computer Systems Administrators","slug":"network-and-computer-systems-administrators"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541519","title":"Other Computer Related Services","slug":"other-computer-related-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"DevOps Engineer","description":"PREVENT DISASTER. PROTECT HUMANITY.--------------------Location: San Francisco, CA — On-site ONLYStart: ImmediateEstimated TC: up to ~$250,000Cash Compensation: $160,000–$200,000Position: DevOps Engineer--------------------We are on a mission to safeguard humanity, create American resilience, and neutralize catastrophic Category 5 hurricanes.--------------------Aeolus is working on a problem that has historically lived at the edge of government-scale science: understanding, predicting, and eventually weakening the most destructive storms before they reach land. We are building the modeling, sensing, simulation, and field-engineering stack needed to turn hurricane intervention from a research frontier into an operational capability.Our team brings together atmospheric science, cloud physics, ML weather modeling, high-performance simulation, aerospace systems, environmental sensing, and software engineering. We are small enough that every major system still has a clear owner, but ambitious enough that our work touches problems normally reserved for national labs, weather agencies, and large aerospace programs.We are now seeking an exceptional DevOps Engineer to own the infrastructure layer beneath all of this: the cloud environments, deployment systems, CI/CD, infrastructure-as-code, and scalable compute systems that let a deeply technical 22-person team move with the leverage of a much larger organization.DevOps Engineer:You will take ownership of the cloud infrastructure, deployment systems, and compute environments that power Aeolus's scientific, ML, and engineering work. You'll be the technical foundation our scientists, ML engineers, software engineers, and operations teams build on — designing and operating the cloud environments, CI/CD pipelines, infrastructure-as-code, and scalable compute systems that keep our platform reliable, secure, cost-efficient, and fast.ResponsibilitiesCloud Infrastructure Ownership: Own and operate our cloud infrastructure across AWS, GCP, and other compute providers, ensuring reliability, security, scalability, and cost efficiencyInfrastructure-as-Code: Lead the development and maintenance of Terraform-based infrastructure across development, staging, research, and production environmentsCI/CD & Deployment Systems: Design and operate CI/CD pipelines that enable fast, safe, reproducible delivery of our modeling, data, and software systemsCloud Architecture: Guide architectural decisions for cloud deployments and establish reusable patterns, best practices, and guardrails for the engineering teamContainers & Runtime: Manage containerized workloads, including Docker image builds, container registries, runtime environments, and orchestration across AWS/GCP infrastructureHPC & GPU Compute: Build and maintain scalable compute environments for HPC and GPU workloads, including cluster management, job scheduling, provisioning, and cost-aware scalingObservability & Reliability: Implement metrics, logging, tracing, alerting, dashboards, and runbooks across our infrastructure stackData Infrastructure Support: Partner with software engineers and scientists to optimize infrastructure for processing massive meteorological, satellite, radar, and simulation datasetsSecurity & Governance: Drive security, IAM, networking, compliance, secrets management, and cost governance across our cloud footprintDeveloper Enablement: Make the infrastructure easy for scientists and engineers to use without sacrificing reliability, reproducibility, or operational disciplineQualificationsBS/MS in Computer Science, Engineering, or related technical field, or equivalent practical experienceStrong hands-on experience with AWS and GCP, including compute, networking, storage, IAM, VPCs, and security groupsDeep proficiency with Terraform and infrastructure-as-code in production environmentsExperience designing, operating, and improving CI/CD systems such as GitHub Actions, GitLab CI, or similar toolsSolid understanding of containerization and orchestration, including Docker and Kubernetes or equivalent systemsExperience managing Linux systems, shell scripting, networking, permissions, secrets, and production operational workflowsStrong judgment around reliability, security, cost, and developer velocityAbility to work directly with scientists, ML engineers, and software engineers to translate messy technical requirements into durable infrastructureTechnical ExpertiseCloud Platforms: AWS, GCP, and multi-cloud infrastructure patternsInfrastructure-as-Code: Terraform, reusable modules, environment management, state management, and secure provisioningCI/CD: GitHub Actions, GitLab CI, automated testing, deployment workflows, artifact management, and release disciplineContainers: Docker, container registries, Kubernetes or equivalent orchestration systemsHPC/GPU: GPU provisioning, cluster management, job scheduling, high-throughput compute environments, and cost-aware scalingNetworking & Security: VPCs, IAM, security groups, service accounts, secrets, access control, and production security hygieneObservability: Metrics, logs, tracing, alerting, dashboards, incident response, and operational runbooksNice to HaveExperience with HPC environments and job schedulers such as SLURM, AWS ParallelCluster, or similar systemsFamiliarity with GPU compute infrastructure, including provisioning, scheduling, utilization tracking, and cost managementExperience with container runtimes for HPC, including Apptainer/Singularity, Pyxis, or enrootBackground working with scientific, meteorological, geospatial, or data-intensive workloadsExperience supporting large-scale data pipelines, model training, simulation workloads, or numerical computing systemsKnowledge of serverless and event-driven architectures such as AWS Lambda, GCP Cloud Run, Modal, or similar platformsFamiliarity with workflow orchestration platforms such as Dagster, Airflow, or PrefectPrior work in research-oriented, field-oriented, defense, aerospace, scientific computing, or safety-critical environmentsExperience with cost optimization, cloud financial controls, and FinOps practices, Infrastructure & Platform CraftYou care about clean infrastructure, reproducible environments, strong defaults, and systems that other engineers can actually use.You know when to move fast and when to slow down and build the right operational foundation.You are comfortable working across cloud infrastructure, scientific computing, CI/CD, security, and production reliability.You can operate in ambiguity, make pragmatic tradeoffs, and build systems that support both research velocity and real-world deployment.Willingness To:Work in person five days a week in San FranciscoBuild infrastructure for an early-stage company attempting something extremely hardWork closely with atmospheric scientists, ML engineers, software engineers, controls engineers, and field teamsSupport systems that may eventually power real-world flight operations and weather intervention missionsMove quickly without losing operational disciplineHelp build the infrastructure backbone for a company trying to stop environmental disasterCompensation & BenefitsCash compensation: $160,000–$230,000 depending on experience and levelEstimated total compensation: up to ~$300,000Benefits: Full health, dental, and vision insurancePTO: Flexible PTOLocation: In-person role based in San Francisco, CAThis position is centered on building the infrastructure that powers Aeolus's modeling, data, simulation, and intervention systems. You'll work shoulder-to-shoulder with our scientific, engineering, and operational teams to deliver robust, scalable, field-ready capability.To apply, please fill out the application and email your resume and a brief note about why you're interested in Aeolus to: jobs@aeolus.earth","datePosted":"2026-06-11T11:14:45.204Z","dateModified":"2026-06-11T11:14:45.204Z","hiringOrganization":{"@type":"Organization","name":"Aeolus","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sacramento","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"24307c2edfe5700f6e2291b9"},"url":"https://jobsearcher.com/jobs/24307c2edfe5700f6e2291b9"}}