Full Stack Developer

Stefanini Group•Dearborn, MI

6d•Onsite

About The Position

Stefanini Group is hiring! Stefanini is looking for a Full Stack Developer, Dearborn, MI (Onsite) For quick apply, please reach out Parul Singh at 248-582-6481/[email protected] Seeking Software Engineer who is responsible for designing, building, and operating high-throughput backend systems that ingest, process, and serve large volumes of telematics data from connected vehicle fleets. Responsibilities Responsible in 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

Requirements

Senior Engineer Exp with 2 years in coding language or advance Practical in 1 language.
7+ years in IT; 5+ years in development experience.
Experience with GCP, Big Data, Artificial Intelligence & Expert Systems, API and Big Query.
Expert 3 Yrs. with GCP involve in design, deploy, and manage workloads on GCP (Compute Engine, Cloud Storage, IAM, VPC networking, Cloud Composer, etc.), including provisioning infrastructure, configuring security/access controls, and troubleshooting performance or cost issues in production.
Expert 3+ years of experience with Big Data in design and optimize data pipelines and storage architectures for large-scale, high-volume/high-velocity datasets using tools such as Spark, Hadoop, Kafka, or Dataflow; strong understanding of distributed computing, partitioning, and data lake/warehouse patterns.
Expert 1+ years of experience with Artificial Intelligence & Expert Systems where build, train, and deploy machine learning models or rule-based expert systems to support decision automation (e.g., predictive maintenance, fraud detection, recommendation engines); familiarity with TensorFlow, PyTorch, or Vertex AI; ability to explain model outputs to non-technical stakeholders.
Expert 3+ years of experience with API involve in design, build, secure, and document RESTful (or GraphQL) APIs, including authentication/authorization (OAuth2, API keys), versioning, rate limiting, and integration with internal and third-party systems.
Expert 2+ years of experience with Big Query where optimize SQL queries in Big Query; manage datasets/partitioning/clustering for performance and cost control; integrate Big Query with BI tools (e.g., Looker, Data Studio) or downstream applications for reporting/analytics.

Nice To Haves

Expert 3+ years with Google Cloud Platform: Broader GCP ecosystem knowledge - e.g., Pub/Sub, Cloud Functions, GKE (Kubernetes), Cloud Build/CI-CD pipelines, or cost-optimization/FinOps practices that strengthens overall platform capability.
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

Responsibilities

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