We believe the future of our nation’s roadways is automated, safer, more accessible and enables more efficient movement of people and goods. While billions have been invested into developing vehicle technologies – including advanced driver assistance systems (“ADAS”) and autonomous driving solutions – a small fraction has been spent on developing infrastructure to support and enhance roadways. At Cavnue, we are developing and integrating technologies that will power the world’s most technologically advanced roadways (“cavnues”). Our approach is founded in creating a digital model of the roadway that analyzes and optimizes road conditions in real-time, sharing actionable alerts and providing proactive guidance to vehicles and drivers.

Join us in innovating the roads of the future. Cavnue is bridging vehicle technology and road infrastructure to rapidly deliver safer roads today while accelerating the adoption of connected and automated vehicles (CAVs) moving forward. With ongoing deployments in Michigan and Texas, Cavnue is the only company in North America that uses Smart Road technology to improve performance for road operators and deliver a safer, more efficient experience for all road users while preparing for a future with more CAVs. Our mission is to set the new standard for road performance and safety.

Role Overview

As a Platform Operations Engineer / Field Systems Engineer (Florida), you will serve as the primary owner of operations and product execution for statewide IoT deployments, driving the tools, workflows, and systems required to support reliable field operations. This role focuses on building and deploying the tools, interfaces, and integrations that enable seamless operation and maintenance of roadway infrastructure. You will bridge the gap between core software systems and field operations, ensuring contractors are equipped with automated workflows and actionable insights to meet strict SLAs and resolve issues efficiently.

This role will require regular on-site field work at roadside infrastructure deployments in Orlando, Florida, supporting real-time field operations and issue triage, with occasional travel across our other projects in Florida and Georgia, as needed.

Roles & Responsibilities

• Product Operation Ownership: Act as the Product Owner for Florida operations, focusing on streamlining field support workflows while partnering with Product Management on roadmap priorities
• Tool & UI Building: Design and develop custom scripts, dashboards, JavaScript-based user interfaces, and API integrations that connect the core platform to O&M contractor systems
• Edge Deployment: Package and deploy diagnostic tools and user interfaces directly to edge devices, enabling effective on-site troubleshooting
• Contractor Enablement: Enable field contractors by building automated alerting systems, intuitive operational tools, and delivering hands-on training
• First Line of Defense: Serve as the first line of defense for system issues, including triage, remote troubleshooting, configuration updates, and software resets
• Field Triage and Dispatch: Coordinate field interventions by equipping crews with precise, pre-diagnosed issue reports when physical resolution is required
• Operations Automation: Work within our core operational framework (Proxmox, Kubernetes, Terraform) to manage state-specific configurations. Partnering with our engineering organization, building the specific IaC, tools, and automation scripts
• Field Quality Oversight: Oversee operational readiness of new deployments, ensuring field hardware (e.g., cameras, switches) is fully integrated prior to go-live
• Collaborate cross-functionally with engineering, product, and field teams to continuously improve operational efficiency and system reliability

Requirements

• Experience supporting field operations and issue triage within roadway infrastructure, transportation systems, or similar large-scale physical deployments
• Experience working within Linux environments, container orchestration platforms (e.g., Kubernetes), and virtualization systems (e.g., Proxmox)
• Strong scripting and automation experience (Python, Bash, and/or Go) combined with frontend experience (JavaScript) to build intuitive, lightweight user interfaces for field crews.
• Familiarity with deploying applications to edge devices and IoT hardware environments
• Working knowledge of networking fundamentals (e.g., VLANs, routing, IP configuration) for troubleshooting connectivity issues
• Ability to translate complex system issues into clear, actionable workflows or tickets (e.g., Jira, ServiceNow)
• Strong communication skills with the ability to interface effectively with both technical engineering teams and field-based personnel
• Highly self-directed, with the ability to operate independently while collaborating across distributed teams
• Bachelor’s degree in Computer Science, Electrical Engineering, Computer Engineering, or a related technical discipline (or equivalent experience with 4+ years in linux systems management)

Bonus

• Experience integrating monitoring tools (e.g., Prometheus, Grafana) with third-party systems
• Familiarity with SAFe Agile methodologies, particularly in a Product Owner capacity
• Experience working with IoT systems, IP cameras, or field-deployed infrastructure
• Knowledge of Florida roadway systems, infrastructure standards, or FDOT requirements

*** We do not accept unsolicited resumes from recruiting agencies or 3rd parties, and we are not responsible for any fees related to unsolicited resumes.

Cavnue, a Consor company, is redefining what’s possible for modern transportation infrastructure. As the digital infrastructure platform within Consor Engineers, a leading North American engineering and advisory firm, Cavnue combines advanced roadway technology with deep transportation design and delivery expertise to modernize how roads are operated and managed.

We believe the future of roadways is connected, intelligent, and designed to actively improve safety, efficiency, and accessibility for all users. While vehicle technologies such as advanced driver assistance systems and automated driving continue to evolve rapidly, roadway infrastructure must evolve alongside them. Cavnue is closing that gap by developing and deploying smart road technologies that deliver a real-time digital twin of the roadway environment, leveraging AI-enabled, analytics, sensors, cameras, and integrated digital infrastructure to provide actionable operational insights.

Together with Consor, we are accelerating the deployment of these solutions at scale, helping public and private clients modernize infrastructure and prepare for the next generation of mobility. With active projects across the United States, our work is setting a new standard for roadway performance today while laying the foundation for a safer, more efficient, and more connected transportation future.

Join us as we shape the future of infrastructure where digital innovation meets engineering excellence to deliver measurable real-world impact.

Role Overview

We are looking for a Senior Software Engineer with deep expertise in database systems, data pipelines, and real-time data infrastructure. As a core member of our engineering team, you will own the design and evolution of our data layer, from schema design and query optimization to building scalable pipelines and APIs that power our platform. This is a fully remote, hands-on individual contributor role where you'll wear many hats, move fast, and have significant ownership over foundational systems. If you enjoy collaborating closely with a tight-knit team and having real ownership over the systems you build, we'd love to meet you.

Core Responsibilities:  

• Design, build, and maintain robust database schemas optimized for both transactional and time-series workloads, primarily using PostgreSQL and TimescaleDB/TigerDB.
• Architect and manage scalable data pipelines, from raw ingestion through transformation and storage with a focus on reliability, performance, and maintainability.
• Build and operate data warehouse infrastructure on GCP, ensuring data is well-organized, queryable, and cost-effective at scale.
• Develop and maintain APIs that expose clean, performant interfaces for internal services and external consumers.
• Implement real-time and streaming data solutions that handle high-throughput, low-latency workloads.
• Own data quality, monitoring, and alerting across the data layer.
• Design and maintain data warehouse architecture that supports system playback and integration testing, enabling engineers to replay real-world data scenarios against the full stack.
• Collaborate closely with engineers, researchers, and hardware teams to understand data requirements and translate them into reliable infrastructure.
• Write clear documentation for schemas, pipeline designs, data contracts, and operational runbooks.
• Contribute to a healthy, high-trust engineering culture where good ideas can come from anywhere.

Nice to Have Experience:  

• Experience with Redis for caching, real-time data access patterns, and streams.
• Familiarity with Infrastructure as Code tools (Terraform) and CI/CD pipelines.
• Experience with GitLab workflows and CI/CD pipelines.
• Proficiency with GCP data products beyond the core stack, including BigQuery for analytics and large-scale querying.
• Experience with agentic coding tools (e.g., Claude code, Cursor, or similar AI-assisted development environments).
• Prior experience in an early-stage startup environment.
• Exposure to ML/AI data workflows, feature stores, training data pipelines, or model serving infrastructure.

Requirements:

• 5+ years of professional software engineering experience, with a meaningful focus on database systems and data infrastructure.
• Deep expertise in PostgreSQL, including schema design, query optimization, indexing strategies, and performance tuning.
• Hands-on experience with time-series databases (TimescaleDB/TigerDB, or similar).
• Strong proficiency in Python and/or C++ for pipeline and backend development.
• Experience building and operating data pipelines and data warehouses in a production environment.
• Familiarity with GCP data products (e.g., BigQuery, Cloud Storage, Pub/Sub).
• Experience with containerization (Docker) and orchestration (Kubernetes).
• Comfortable working in a Linux development environment.
• Strong communication skills — you can explain data models and architecture decisions clearly to both technical and non-technical stakeholders.
• Demonstrated ability to work independently and make meaningful progress with minimal guidance.
• BS in Computer Science, Engineering, or equivalent practical experience.

Salary Range: The compensation range for this position is specific to the location(s) listed below and is the range Cavnue reasonably and in good faith expects to pay for the position taking into account the wide variety of factors that are considered in making compensation decisions, including job-related knowledge; skillset; experience, education and training; certifications; and other relevant business and organizational factors. Actual pay may vary based on these factors and geography.

Remote - $150,000 – $195,000

Additional Compensation: The successful candidate may be eligible to participate in Cavnue's equity program and/or a discretionary annual incentive program, subject to the rules governing such programs. (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.) Note: Cavnue's benefit, compensation and incentive programs are subject to eligibility requirements and other terms of the applicable plan or program.

Benefits:

Eligible employees may participate in a benefits program that may include:

• Medical, dental, and vision benefits
• Life insurance and disability insurance
• 401(k) with company contribution
• Paid Parental leave
• Fertility and infertility benefits
• Industry-competitive PTO
• Learning and development opportunities

Benefits are subject to eligibility requirements and the terms of the applicable benefit plans and programs.

Cavnue, a Consor company, is redefining what's possible for modern transportation infrastructure. As the digital infrastructure platform within Consor Engineers, a leading North American engineering and advisory firm, Cavnue combines advanced roadway technology with deep transportation design and delivery expertise to modernize how roads are operated and managed.

We believe the future of roadways is connected, intelligent, and designed to actively improve safety, efficiency, and accessibility for all users. While vehicle technologies such as advanced driver assistance systems and automated driving continue to evolve rapidly, roadway infrastructure must evolve alongside them. Cavnue is closing that gap by developing and deploying smart road technologies that deliver a real-time digital twin of the roadway environment, leveraging AI-enabled analytics, sensors, cameras, and integrated digital infrastructure to provide actionable operational insights.

Together with Consor, we are accelerating the deployment of these solutions at scale, helping public and private clients modernize infrastructure and prepare for the next generation of mobility. With active projects across the United States, our work is setting a new standard for roadway performance today while laying the foundation for a safer, more efficient, and more connected transportation future.

Join us as we shape the future of infrastructure where digital innovation meets engineering excellence to deliver measurable real-world impact.

Role Overview

We are looking for a Senior Software Engineer who is equally comfortable writing high-performance C++ as they are shipping Python services, and who can reason clearly about algorithms, data structures, and system behavior under load. This is a broad, hands-on role working across the full depth of our platform, including building data replay infrastructure for system validation, aggregating traffic data over spatial and temporal windows to generate real-time insights and incident records, improving object tracking algorithms, and ensuring video and sensor data flows reliably from edge devices to the cloud, routing data to AI models for verification and classification.

You will focus on making these systems observable, performant, and production-ready. Our architecture centers on strong API interfaces, supported by a robust stack including PostgreSQL for persistence and Terraform, Helm, and Argo for infrastructure and deployment. You will collaborate across engineering teams to integrate new product features into efficient, low-latency services, while leveraging Datadog to ensure deep visibility into system health.

This is a fully remote, hands-on individual contributor role with meaningful ownership across core systems. We are looking for a generalist who can operate autonomously end to end, from design through deployment and ongoing operation, while using AI-assisted tools thoughtfully to move faster without compromising quality. You think beyond the code, connect your work to the broader product and user experience, and take initiative to turn ideas into action in ambiguous environments.

Core Responsibilities:  

• Build and maintain high-throughput, low-latency Python and C++ services, owning the full lifecycle from development to monitoring and incident response.
• Design and optimize data structures, Protobuf serialization, and Redis Streams for real-time data processing workloads.
• Architect and manage data pipelines from raw sensor ingestion to transformation, storage, and delivery.
• Integrate low level, tracking, inference and sensor fusion algorithms into production services.
• Develop REST APIs and internal/external service integrations.
• Implement observability, CI/CD pipelines, and infrastructure as code (Terraform) for reliable, repeatable deployments.
• Operate containerized services on Kubernetes (using Argo and Helm) in GCP; document systems, runbooks, and integrations.
• Contribute to a healthy, high-trust engineering culture where good ideas can come from anywhere.

Nice to Have Experience: 

• Domain experience in transportation, robotics, autonomous vehicles, or sensor-heavy systems.
• Familiarity with classical estimation and filtering techniques, including Kalman filters, Bayesian methods, and sensor fusion, sufficient to read, integrate, and debug implementations.
• Experience with GCP data products (BigQuery, Cloud Storage, Pub/Sub) and AI/ML workflows, feature stores, or model serving infrastructure.
• Familiarity with messaging and observability tools such as nanomsg and OpenTelemetry.
• Experience with high-throughput data processing techniques and integrated build systems like Buck2.
• Prior experience in early-stage startup environments.

Requirements:

• 5+ years of professional software engineering experience with a strong backend and systems focus.
• Proficiency in Python and C++ in production environments, with the ability to choose the right tool for the job and ship quality code.
• Strong fundamentals in algorithms, data structures, and systems design; able to reason about computational complexity and system behavior under constraints.
• Experience building and operating real-time or streaming data systems (e.g., Redis Streams, Kafka, Pulsar, Flink).
• Experience with scientific/numerical Python libraries (NumPy, SciPy, Pandas), GCP (or comparable cloud infrastructure), containerization (Docker/Kubernetes), and Infrastructure as Code/CI/CD pipelines (Terraform, GitHub Actions, GitLab CI, etc.).
• Comfortable working in Linux and with agentic coding tools (e.g., Claude Code, Cursor, or similar AI-assisted environments).
• You are a generalist who can ramp up quickly on unfamiliar domains, codebases, and technologies, keeping the product and users in mind.
• Self-starter who spots gaps, proposes solutions, makes decisions with imperfect information, and drives work forward independently.
• Strong communication skills to explain architectural decisions clearly to both technical and non-technical stakeholders.
• BS in Computer Science, Engineering, or equivalent practical experience.

Salary Range: The compensation range for this position is specific to the location(s) listed below and is the range Cavnue reasonably and in good faith expects to pay for the position taking into account the wide variety of factors that are considered in making compensation decisions, including job-related knowledge; skillset; experience, education and training; certifications; and other relevant business and organizational factors. Actual pay may vary based on these factors and geography.

Remote - $150,000 – $195,000

Additional Compensation: The successful candidate may be eligible to participate in Cavnue's equity program and/or a discretionary annual incentive program, subject to the rules governing such programs. (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.) Note: Cavnue's benefit, compensation and incentive programs are subject to eligibility requirements and other terms of the applicable plan or program.

Benefits:

Eligible employees may participate in a benefits program that may include:

• Medical, dental, and vision benefits
• Life insurance and disability insurance
• 401(k) with company contribution
• Paid Parental leave
• Fertility and infertility benefits
• Industry-competitive PTO
• Learning and development opportunities

Benefits are subject to eligibility requirements and the terms of the applicable benefit plans and programs.