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.

ABOUT THE JOB

As a Senior Software Engineer behind Genlogs’s platform, you will have an opportunity to create 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

Engineers at GenLogs have a unique opportunity to shape a platform that is transforming freight intelligence. As a Senior Software Engineer, you will work across the stack, influence architectural decisions, mentor teammates, and help deliver high-quality features on a continuous release cadence. You’ll collaborate closely with product, data, and engineering teams to build systems that are scalable, reliable, and impactful.

• Build core product experiences including ReactJS portals, Flask-based APIs, and batch interfaces used across all GenLogs applications.
• Integrate diverse data sources, both open-source and proprietary, into our platform.
• Develop tools, automation, and test infrastructure to improve accuracy, reliability, and platform performance.
• Contribute to production and QA infrastructure, helping ensure system stability and scalability.
• Shape software architecture, providing input on design decisions for complex systems.
• Collaborate cross-functionally with product, data engineering, and data science teams to deliver high-quality solutions.
• Participate in the full software development lifecycle, from requirements and design to deployment and ongoing maintenance.
• Write clean, efficient, maintainable code aligned with best practices.
• Conduct thoughtful code reviews, ensuring quality, consistency, and adherence to engineering standards.
• Diagnose and resolve complex technical challenges, including production issues, with urgency and ownership.
• Stay current with modern engineering tools and technologies and bring forward recommendations that improve our stack.
• Provide mentorship and technical leadership to junior engineers, supporting their growth through coaching and feedback.

REQUIRED QUALIFICATIONS

• Full-stack engineer with at least 8 years of experience preferably on high transactional and distributed systems
• Proficiency in python and javascript technologies such as Flask, React JS, Javascript, CSS and HTML
• Knowledge of javascript frameworks a plus
• Expert-level SQL fluency, with the ability to design normalized and denormalized schemas, optimize slow-running queries, analyze execution plans, and work with large-scale datasets efficiently.
• Experience designing and implementing API’s
• Solid understanding of database design and object oriented programming concepts
• Experience working on robust, multi-tiered and scalable architectures
• Excellent written and verbal communication skills
• High effectiveness and communication working in a remote and distributed team
• English proficiency is required.

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, 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.

NEAR-SHORE SALARY RANGE (LATAM)

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.