DevOps Engineer

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 the Trident 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.

As a 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

• Design, deploy, and manage cloud infrastructure on AWS using services like EC2, S3, RDS, lambda, ECS, and Route 53 (DNS).
• Implement and maintain Infrastructure as Code (IaC) solutions using Terraform to automate the provisioning and scaling of infrastructure.
• Collaborate with development and operations teams to implement CI/CD pipelines and automate software delivery.
• Monitor and optimize AWS resources for performance, cost, and security.
• Implement cloud networking, including VPC configuration, subnets, and security groups.
• Manage and maintain AWS services such as RDS (for database management), ECS (for container orchestration), and S3 (for storage solutions).
• Configure and manage AWS Route 53 for DNS and domain management.
• Experience setting up vpn networks and management of remote IoT devices
• Ensure high availability, fault tolerance, and disaster recovery practices in the cloud.
• Troubleshoot and resolve infrastructure issues in real-time.
• Stay updated with AWS best practices and emerging cloud technologies.

• Devops Engineer at least 5 years of experience preferably on high transactional and distributed systems
• Proven experience in managing AWS infrastructure (EC2, S3, RDS, ECS, Route 53).
• Hands-on experience with Terraform for infrastructure automation and orchestration.
• Solid understanding of networking principles (DNS, VPCs, security groups, etc.) in AWS.
• Experience with CI/CD tools such as Jenkins, GitHub Actions GitLab, or AWS CodePipeline.
• Strong proficiency in Linux system administration.
• Experience with Docker and containerization technologies.
• Excellent written and verbal communication skills
• Strong knowledge of bash and python scripting  
• Fluency in writing SQL queries, including joins, aggregations, and filtering across complex relational and non relational datasets.
• High effectiveness and communication working in a remote and distributed team
• English proficiency is required.

• AWS certifications (e.g., AWS Certified Solutions Architect, AWS Certified DevOps Engineer).
• Experience with additional IaC tools like Ansible or CloudFormation.
• Familiarity with logging and monitoring tools like CloudWatch, Datadog, or Prometheus.
• Experience with management of remote IoT devices

• 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, and scalable solutions.
• 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.

GenLogs engages near-shore engineering talent across Latin America—primarily in Colombia—to expand our development velocity and global engineering capacity. Compensation for near-shore employees is benchmarked to local market conditions, engineering specialization, and seniority level. Salary ranges vary depending on location, experience, and role complexity, and are structured to ensure competitive, long-term retention within regional talent markets.

A recruiter will provide a specific salary range for this role during the hiring process, based on:

• Seniority level (e.g., mid-level, senior, staff)
• Engineering discipline (e.g., backend, full-stack, data engineering, QA, platform)
• Local market benchmarks and cost-of-labor indices
• Skills, experience, and technical depth of the candidate

Near-shore employees receive competitive compensation appropriate to their region and employment structure.