出海雷达

高级DevOps工程师

Senior DevOps Engineer

开发工程限定地区(需当地身份)
公司GenLogs Corporation
薪资未公开
工作地点United States
地域资格限定地区(需当地身份)
时区要求日间重叠约 9 小时,基本正常作息
用工类型Full Time
发布时间18 天前
数据来源Himalayas
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注意地域限制:该职位明确限定在 United States 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

GenLogs 是一家交通技术公司,正在打造下一代卡车智能系统。通过全国范围的传感器网络和专有数据,我们为商业供应链客户和公共部门机构提供实时、高保真的货运动态洞察。我们的使命是强化美国的物流基础,打击货运欺诈和货物盗窃,并在主要货运走廊上提供近乎即时的商用机动车活动可视化。通过在边缘传感、计算机视觉、AI 驱动分析和大规模现场部署的交汇点上运作,GenLogs 正在改变运输数据的采集、保护和商业化方式。

关于工程团队

GenLogs 的工程团队构建并维护支撑全国最先进商用车辆传感和智能网络的端到端系统。我们的工程师开发从路边硬件和嵌入式软件到计算机视觉流程、分布式云基础设施和实时数据服务的一切内容。我们负责传感器网络及其驱动的数据产品的可靠性、准确性和安全性。在边缘、云和现场环境中运作,团队与部署、数据科学和产品团队紧密合作,将复杂的现实需求转化为可在严苛条件和国家级工作负载下运行的可扩展系统。我们重视技术严谨性、执行速度以及对构建可持久基础设施的承诺,这些基础设施能带来可衡量的、关键任务的影响。

关于职位

作为 GenLogs 平台背后的高级 DevOps 工程师,你将有机会定义并扩展基础设施,使未来货运智能成为可能,通过利用 AI、分布式传感器和多个数据集,普遍追踪美国及其他地区的 400 万辆商用卡车。通过帮助构建不可破坏的供应链,GenLogs 正在让美国更安全、更强大。

你将负责

  • 在 AWS 上设计、部署和管理跨计算、存储、数据库、网络、内容分发、容器和无服务器服务的多账户安全云基础设施
  • 在 AWS 管理的容器服务和 Kubernetes 上构建和运营生产容器平台,包括 Helm、GitOps(Argo CD 或 Flux)、自动扩展(Karpenter、HPA/KEDA)以及用于计算机视觉和 ML 推理的 GPU 工作负载
  • 负责我们的
查看英文原文

GenLogs is a transportation-technology company building the next generation of truck intelligence. Through a nationwide network of sensors and proprietary data, We deliver real-time, high-fidelity insights into freight movement for commercial supply-chain customers and public-sector agencies. Our mission is to strengthen America’s logistics backbone, combat freight fraud and cargo theft, and provide near-instantaneous visibility into commercial motor vehicle activity across major freight corridors. By operating at the intersection of edge sensing, computer vision, AI-driven analytics, and large-scale field deployment, GenLogs is transforming how transportation data is captured, secured, and commercialized.

ABOUT THE ENGINEERING TEAM

The Engineering team at GenLogs builds and sustains the end-to-end systems that power the country’s most advanced commercial-vehicle sensing and intelligence network. Our engineers develop everything from roadside hardware and embedded software to computer vision pipelines, distributed cloud infrastructure, and real-time data services. We are responsible for the reliability, accuracy, and security of our sensor network and the data products it fuels. Operating across edge, cloud, and field environments, the team partners closely with Deployment, Data Science, and Product to turn complex, real-world requirements into scalable systems that function under demanding conditions and national-level workloads. We value technical rigor, speed of execution, and a commitment to building durable infrastructure that delivers measurable, mission-critical impact.

ABOUT THE JOB

As a Senior Devops Engineer behind Genlogs's platform, you will have an opportunity to define and scale the infrastructure for the systems that will make possible the future of freight intelligence by leveraging AI, distributed sensors and multiple datasets to ubiquitously track all 4 million commercial trucks in the United States and beyond. By helping build unbreakable supply chains, GenLogs is making America safer and stronger.

WHAT YOU’LL DO

  • Design, deploy, and manage secure, multi-account cloud infrastructure on AWS across compute, storage, databases, networking, content delivery, containers, and serverless services
  • Build and operate production container platforms on AWS managed container services and Kubernetes, including Helm, GitOps (Argo CD or Flux), autoscaling (Karpenter, HPA/KEDA), and GPU workloads for computer vision and ML inference
  • Own our Infrastructure as Code with Terraform: design reusable, versioned modules, manage remote state across accounts and environments, detect and remediate drift, and enforce standards with policy-as-code
  • Design and evolve CI/CD pipelines (GitHub Actions) with reusable workflows, OIDC-based cloud access, automated testing and security scanning, and progressive delivery (blue/green, canary) with automated rollback
  • Automate operational work end to end using Python and Bash, event-driven and serverless automation, and self-service tooling that reduces toil for engineering teams
  • Build observability across metrics, logs, and traces (OpenTelemetry, CloudWatch, Prometheus/Grafana, Datadog), define SLOs and actionable alerts.
  • Own our cloud security posture: least-privilege identity and access management, organization-wide guardrails, encryption and key management, secrets management, and AWS native security, threat detection, and compliance services
  • Embed security into the software supply chain, including container and IaC scanning, secret scanning, image signing, and SBOMs
  • Implement and maintain the technical controls and automated evidence for SOC 2 Type II and similar frameworks (e.g., ISO 27001), and support audits and customer security reviews
  • Leverage AI coding assistants and agents (e.g., Claude Code, GitHub Copilot) to accelerate infrastructure and automation work, with strong review practices and guardrails
  • Implement cloud networking, including virtual network design, subnetting and segmentation, private connectivity, load balancing, DNS, and content delivery
  • Ensure high availability, fault tolerance, and disaster recovery practices in the cloud, with defined and regularly tested RPO/RTO targets
  • Monitor and optimize AWS resources for performance, cost, and security, including FinOps practices for GPU and AI workloads
  • Troubleshoot and resolve infrastructure issues in real time, and mentor other engineers through design docs, runbooks, and code reviews

REQUIRED QUALIFICATIONS

  • 5+ years of experience in DevOps, SRE, or Platform Engineering, preferably on high transactional and distributed systems
  • 5+ years of experience with Terraform, including reusable module design, remote state management at scale, multi-environment patterns, drift management, and policy-as-code
  • 5+ years of experience building and maintaining CI/CD pipelines with tools such as GitHub Actions, Jenkins, GitLab CI, or AWS CodePipeline, including reusable pipelines, automated security checks, and progressive delivery
  • 5+ years of experience with bash and python scripting for automation
  • 3+ years of experience managing AWS infrastructure across compute, storage, databases, networking, content delivery, and serverless services, ideally in multi-account environments
  • 3+ years of production experience with Kubernetes, including Helm, GitOps, and cluster security
  • 3+ years of hands-on observability experience with metrics, logs, and traces, including defining SLOs and actionable alerts
  • 3+ years of experience in cloud security: least-privilege access, encryption, secrets management, network security, and cloud-native security services
  • 2+ years of experience implementing or operating controls for SOC 2 (or ISO 27001 / similar frameworks) and supporting audits with evidence
  • 3+ years of experience with networking principles (DNS, virtual networks, subnetting, firewalls and security groups, load balancing, VPN) in AWS
  • Hands-on, responsible use of AI tools in day-to-day engineering work
  • Excellent written and verbal communication skills, and high effectiveness working in a remote and distributed team

PREFERRED QUALIFICATIONS

  • Certifications such as AWS Certified Developer Engineer, AWS Certified Solutions Architect, AWS Certified Security – Specialty, CKA/CKS, or HashiCorp Terraform Associate
  • Experience building AI agents or MCP-based integrations for operational automation
  • Experience building Internal Developer Platforms (IDPs) and self-service capabilities for engineering teams, such as golden paths, service templates, on-demand environments, and developer portals (e.g., Backstage, Port)
  • Familiarity with compliance frameworks relevant to public-sector and law enforcement customers, such as CJIS, NIST 800-53, or FedRAMP
  • Experience with compliance automation platforms (e.g., Vanta, Drata) and supply-chain security practices (SBOM, SLSA, Sigstore)
  • Experience with additional IaC and configuration tools like Ansible, CloudFormation, Terragrunt, OpenTofu, or CDK
  • Experience with service mesh (Istio, Linkerd) or advanced ingress / API gateway patterns
  • Experience managing remote IoT devices at scale using cloud IoT and edge services, including secure over-the-air updates
  • FinOps experience, including cost optimization of GPU and AI workloads

IDEAL CANDIDATE

  • You prioritize understanding and exceeding customer needs in every project and interaction
  • You focus on delivering meaningful progress while embracing iteration and continuous improvement
  • You bring deep technical expertise, delivering high-quality, reliable, secure, and scalable solutions
  • You automate first: if you do something twice, you build a tool, a pipeline, or an agent for it
  • You treat security and compliance as engineering problems, solved with code and automation rather than checklists
  • You embrace AI as a force multiplier while keeping sound judgment and full accountability for what ships
  • You anticipate needs, take initiative, and stay ahead of the curve with timely actions and decisions
  • You excel in articulating complex ideas clearly, concisely, and effectively through written communication
  • You have a thirst for knowledge, a passion for problem-solving, and a drive to explore and learn new things
  • You value transparency, actively seek feedback, and collaborate to build trust and alignment within the team
  • You thrive in a remote environment, leveraging tools and practices to stay connected and deliver results
  • You balance hard work with strategic thinking, focusing on impact and efficiency

Originally posted on Himalayas

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