Back-end Software Development Engineering Senior Engineer

Job-ID Reference
26-01195

Job Title:

Back-end Software Development Engineering Senior Engineer About Kyyba:

Founded in 1998 and headquartered in Farmington Hills, MI, Kyyba has a global presence delivering high-quality resources and top-notch recruiting services, enabling businesses to effectively respond to organizational changes and technological advances.

At Kyyba, the overall well-being of our employees and their families is important to us. We are proud of our work culture which embodies our core values; incorporating value, passion, excellence, empowerment, and happiness, creates a vibrant and productive atmosphere. We empower our employees with the resources, incentives, and flexibility that they need to support a healthy, balanced, and fulfilling career by providing many valuable benefits and a balanced compensation structure combined with career development.

Job Description Employees in this job function are responsible for designing, building, and operating high-throughput backend systems that ingest, process, and serve large volumes of telematics data from connected vehicle fleets. They work at the intersection of distributed systems, data engineering, and API development — delivering reliable, low-latency services that power fleet intelligence products for commercial and enterprise customers. Design and develop scalable, high-performance backend services and APIs that process and expose telematics data — including GPS, trip events, driver behavior, vehicle diagnostics, and sensor telemetry — at fleet scale Build and maintain real-time and batch data pipelines that ingest high-volume vehicle event streams from messaging systems (e.g., Pub/Sub, Kafka) into data warehouses and operational stores

Skills Required:

GCP, Big Data, Artificial Intelligence & Expert Systems, API 1. GCP – Experience deploying and managing services on Google Cloud Platform, including Compute Engine, Cloud Storage, IAM, and Cloud Functions. For example, designing and implementing a cloud-native application architecture using GKE (Google Kubernetes Engine) with Cloud SQL and Pub/Sub. 2. Big Data – Experience working with large-scale data processing frameworks such as Apache Spark, Dataflow, or Big Query.

For example, building ETL pipelines that process terabytes of daily event data and transform it for downstream analytics.
3. Artificial Intelligence & Expert Systems – Experience developing or integrating AI/ML models and rule-based expert systems. For example, building a classification model using Vertex AI to predict customer churn, or implementing a rule engine that automates underwriting decisions. 4. API – Experience designing, building, and consuming RESTful or gRPC APIs. For example, developing a versioned REST API with OAuth 2.0 authentication that serves as the integration layer between a mobile application and backend microservices.

Skills Preferred:

Google Cloud Platform
1. Google Cloud Platform – Familiarity with advanced GCP services beyond core compute and storage, such as Vertex AI, Dataflow, Cloud Composer (Airflow), and Big Query ML. For example, using Cloud Composer to orchestrate scheduled data pipelines that feed into a Big Query data warehouse.

Experience

Required:

Senior Engineer Exp:
Prac. In 2 coding lang. or adv. Prac. in 1 lang.; guides. 7+ years in IT; 5+ years in development

Experience Preferred:

Languages:

Kotlin, Java, Python, or equivalent JVM/backend language Frameworks:
Spring Boot, gRPC, REST API design Data:
Big Query, PostgreSQL, Redis, Bigtable, Kafka or Pub/Sub

Infrastructure: GCP (or equivalent), Docker, Kubernetes, CI/CD pipelines Practices: TDD, MLOps-adjacent data pipeline patterns, database performance tuning, API versioning

Education Required:

Bachelor's Degree Education…