Senior DevOps Engineer at GenLogs in Remote (United States)

Job description

• 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.
• 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.

Responsibilities

• 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

Requirements

• 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
• 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

Skills

Required

• Bash and Python scripting
• SOC 2 / ISO 27001 controls and audits
• AI tools (Claude Code, GitHub Copilot)
• Remote collaboration

Preferred

• CKA/CKS
• HashiCorp Terraform Associate
• AI agents or MCP-based integrations
• Remote IoT device management
• FinOps for GPU and AI workloads