Back-End Software Engineer

Artech LLC

  • Dearborn, MI
  • 7 days ago

    Highlights

    Expertise in designing, deploying, and managing workloads on Google Cloud Platform (GCP) including Compute Engine, Cloud Storage, IAM, and VPC networking. These systems ingest, process, and serve large volumes of telematics data from connected vehicle fleets, powering fleet intelligence products for commercial and enterprise customers.

    Numbers & Facts

    LocationDearborn, MI

    Description

    Introduction

    Join our dynamic team where you will be responsible for designing, building, and operating high-throughput backend systems. These systems ingest, process, and serve large volumes of telematics data from connected vehicle fleets, powering fleet intelligence products for commercial and enterprise customers.

    Required Skills & Qualifications

    • Expertise in designing, deploying, and managing workloads on Google Cloud Platform (GCP) including Compute Engine, Cloud Storage, IAM, and VPC networking.
    • Strong experience in Big Data technologies, including Spark, Hadoop, Kafka, or Dataflow for designing and optimizing data pipelines.
    • Experience in building, training, and deploying machine learning models or rule-based expert systems with tools like TensorFlow, PyTorch, or Vertex AI.
    • Proficiency in designing, building, securing, and documenting RESTful or GraphQL APIs.
    • Advanced SQL query writing in BigQuery, with experience in managing datasets and integrating with BI tools for analytics.
    • 7 years in IT with 5 years in software development, including practical experience in two coding languages or advanced practice in one.
    • Bachelor's Degree
    • Applicants must be able to work directly for Artech on W2

    Preferred Skills & Qualifications

    • Broader GCP ecosystem knowledge, including Pub/Sub, Cloud Functions, GKE (Kubernetes), and CI/CD pipelines.
    • Experience with Kotlin, Java, Python, or equivalent JVM/backend languages.
    • Familiarity with frameworks like Spring Boot, gRPC, and REST API design.
    • Experience with databases such as PostgreSQL, Redis, Bigtable, and messaging systems like Kafka or Pub/Sub.
    • Knowledge of infrastructure tools like Docker, Kubernetes, and CI/CD pipelines.

    Day-to-Day Responsibilities

    • Design and develop scalable, high-performance backend services and APIs that process and expose telematics data at fleet scale.
    • Build and maintain real-time and batch data pipelines that ingest high-volume vehicle event streams into data warehouses and operational stores.
    • Collaborate with cross-functional teams to deliver reliable, low-latency services.

    For immediate consideration please click APPLY to begin the screening process with Alex.

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