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10 дней назад

Senior Backend Software Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Backend Software Engineer (AI/GCP): Building and operating high-throughput backend services, APIs, and real-time and batch pipelines for telematics data from connected vehicle fleets with an accent on distributed systems, cloud-native architecture, and large-scale data processing. Focus on designing low-latency services, integrating AI/ML models, maintaining data warehouses, and processing high-volume vehicle event streams with Kafka, Pub/Sub, Spark, and GCP.

Location: Dearborn, Michigan, United States; hybrid work preference.

Company

Technology services work includes collaboration with clients and high-performing teams on emerging technologies.

What you will do

  • Design, develop, and operate scalable backend services and APIs for high-volume telematics data from connected vehicle fleets.
  • Build real-time and batch data pipelines for GPS, trip events, driver behavior, vehicle diagnostics, and sensor telemetry.
  • Process and transform large-scale event streams using messaging and data-processing platforms such as Kafka, Pub/Sub, Spark, Dataflow, and BigQuery.
  • Design and maintain data warehouse solutions and integrate RESTful or gRPC APIs.
  • Develop or integrate AI/ML models and rule-based expert systems.
  • Deploy and manage cloud-native backend services on Google Cloud Platform.

Requirements

  • 7+ years of IT experience and 5+ years of software development experience.
  • Bachelor’s degree and practical experience with one or more programming languages, including Kotlin, Java, Python, or an equivalent JVM/backend language.
  • Experience with GCP services including Compute Engine, Cloud Storage, IAM, and Cloud Functions.
  • Experience with Spark, Dataflow, BigQuery, Snowflake, or Redshift, as well as data warehouse design and large-scale data processing.
  • Experience with Spring Boot, REST and gRPC API design, PostgreSQL, Redis, Bigtable, Kafka, or Pub/Sub.
  • Experience with Docker, Kubernetes, CI/CD, TDD, database performance tuning, API versioning, and AI/ML or MLOps-adjacent data pipeline patterns.

Nice to have

  • Familiarity with Vertex AI, Dataflow, Cloud Composer (Airflow), and BigQuery ML.
  • Relevant certification.

Culture & Benefits

  • Collaboration with experts, clients, and high-performing teams.
  • Long-term career development and opportunities to work with emerging technologies.
  • Medical, dental, and vision insurance.
  • Paid time off, paid holidays, life and disability insurance, and 401(k) matching.
  • Professional development and wellness programs.
  • Inclusive workplace committed to equal opportunity and respect.

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