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Questar Auto Technologies Tech Stack

Predictive vehicle health platform using AI for fleet maintenance optimization

Technology, Information and Internet Herzelia, Israel 51–200 employees Privately Held

Questar builds a predictive vehicle health platform that ingests real-time telematics and historical fleet data to forecast maintenance needs before failures occur. The tech stack reveals a cloud-native, data-intensive architecture: TypeScript microservices on AWS (ECS, Lambda, RDS), Databricks for ETL, and observability at scale (Datadog, Prometheus, Grafana). Active adoption of infrastructure-as-code tools (Pulumi, Terraform, AWS CDK) alongside projects in feature-store creation and lakehouse architecture signals investment in data pipeline maturity — a critical foundation for the low-latency anomaly detection and fault prediction the company lists as active challenges.

Tech Stack 51 technologies

Core StackTypeScript AWS Docker Kubernetes Snyk CloudWatch Datadog Prometheus Grafana GitHub Actions GitLab CI/CD CircleCI JavaScript Pulumi Terraform CloudFormation AWS Lambda AWS RDS CloudFront Databricks GuardDuty Prisma Cloud AWS ECS AWS Transit Gateway API Gateway VPC IAM Route 53 AWS Inspector AWS GuardDuty+20 more
AdoptingPulumi Terraform AWS CDK

What Questar Auto Technologies Is Building

Challenges

  • Building modern cloud services
  • Leveling up engineering practices
  • Cost-efficiency for high-volume data processing
  • Low latency data ingestion
  • Anomaly detection before model impact
  • Developing new fault detection tools
  • Adopting full‑stack automotive platform
  • Reseller partner enablement
  • Future vehicle fault detection
  • Predictive maintenance capabilities

Active Projects

  • Predictive maintenance tool development
  • Product-facing microservices
  • End-to-end feature delivery
  • Ci/cd and devops improvement
  • Aws landing zones design
  • Pulumi cloud infrastructure implementation
  • Devops practices improvement
  • Scalable etl pipelines on databricks and aws
  • Feature store creation from iot telemetry
  • Lakehouse architecture and ci/cd best practices

Hiring Activity

Accelerating9 roles · 6 in 30d

Department

Engineering
6
Data
1
Sales
1
Support
1

Seniority

Senior
4
Mid
3
Junior
1
Manager
1
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About Questar Auto Technologies

Questar operates a predictive vehicle health management platform for commercial fleet operators worldwide. The product aggregates historical vehicle data, real-time diagnostics via telematics, and predictive analytics into a single interface designed to shift fleets from reactive maintenance to proactive planning. The company supports hundreds of thousands of vehicles globally and targets cost reduction, uptime improvement, and extended vehicle lifespan as core value drivers. Engineering-led hiring (6 of 9 active roles), combined with active projects spanning microservices, CI/CD automation, and scalable data pipelines, indicates a growth-phase software company scaling infrastructure to handle high-volume IoT telemetry and predictive workloads.

HeadquartersHerzelia, Israel
Company Size51–200 employees
Hiring MarketsIsrael, United States

Frequently Asked Questions

What tech stack does Questar Auto use?

TypeScript and JavaScript for application code, AWS (ECS, Lambda, RDS, API Gateway) for cloud infrastructure, Kubernetes and Docker for orchestration, Databricks for data pipelines, Datadog and Prometheus for observability, and Terraform/Pulumi for infrastructure-as-code.

What is Questar Auto working on?

Core projects include predictive maintenance tool development, product-facing microservices, CI/CD and DevOps improvement, AWS landing zones, Pulumi infrastructure, scalable ETL pipelines on Databricks, feature store creation from IoT telemetry, and lakehouse architecture.

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