Fullstack Engineer (Traffic Studies)

Location: Onsite in San Carlos, United States; candidates must be based in Islamabad or Lahore and able to work from the office.

Company

hirify.global builds solar-powered, AI-assisted cameras and traffic-enforcement intelligence to improve road safety, backed by a Series A of $54M.

What you will do

• Own the traffic-study backend from multi-sensor ingestion and vision-pipeline orchestration through event extraction, annotation hand-off, statistics, and city-facing report publishing.
• Automate manual study steps, including statistics entry, reprocessing, and report assembly, with auditable and repeatable workflows.
• Extend the system for new sensors, metrics, report formats, and tighter delivery timelines through configuration and small extensions.
• Design schemas, indexes, and queries for growing Postgres datasets supporting pipelines and internal tools.
• Maintain monitoring and alerting, identify failed or stuck studies, and drive root-cause fixes.
• Implement versioned counting and violation logic with traceability from reported figures to raw data and processing logic; support APIs and data endpoints for annotation and operations tools.

Requirements

• 4+ years of professional software engineering experience with meaningful full-stack ownership across backend services, data pipelines, internal tools, and front ends.
• Experience building and operating production services on a major cloud; AWS experience with ECS/EC2, S3, and IAM is preferred.
• Strong database skills, including schema design, indexing, and query performance on growing Postgres or similar datasets.
• Experience building internal tools or dashboards with Retool or a modern web framework.
• Experience with production monitoring, alerting, incident response, and post-incident fixes.
• Experience orchestrating batch or compute-heavy workloads, such as job queues, workers, GPU/ML servers, or similar systems.
• Must be based in Islamabad or Lahore and able to work from the office.

Nice to have

• Experience with computer-vision or sensor-output pipelines, including detections, tracks, radar, video, or imagery at volume.
• Experience with data-quality, annotation, or audit workflows.
• Familiarity with IoT or edge devices and operational issues such as timestamps, connectivity, and uploads.
• Startup or small-team experience owning a system end to end.

Culture & Benefits

• Work on AI-assisted traffic enforcement intended to reduce preventable traffic deaths and improve road safety.
• Fast-moving startup environment with meaningful ownership.
• Competitive compensation and early-stage equity.
• Equal opportunity employer committed to reasonable accommodations and non-discrimination in hiring.