10 дней назад
Senior Backend Software Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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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