Full Stack Developer

Stefanini North America and APAC; Dearborn (MI); On-site; USD 90,000 - 140,000; Full time

Job summary

Stefanini Group is hiring a Full Stack Developer for Dearborn, MI on-site. You will design, build, and run high-throughput backend systems that ingest telematics data from connected fleets.

You will work at the intersection of distributed systems, data engineering, and API development, delivering reliable, low-latency services for enterprise customers. You will build real-time and batch pipelines and APIs to support fleet intelligence products.

Qualifications

• Senior engineer with strong backend and data needs.
• Experience with GCP, Big Data, AI, and APIs.
• Proven ability to design scalable backend services.
• Proficiency in real-time and batch data pipelines.

Responsibilities

• Design, build, and operate high-throughput backend systems.
• Develop scalable APIs to process telematics data at fleet scale.

Skills

Kotlin

Java

Python

REST API design

GraphQL

OAuth2

Distributed systems

Data engineering

Education

Bachelor's Degree

Certification Program

Tools

GCP

BigQuery

Spark

Hadoop

Kafka

Dataflow

TensorFlow

Vertex AI

Looker

Data Studio

Docker

Kubernetes

CI/CD pipelines

Job description

Stefanini Group is hiring!

Full Stack Developer, Dearborn, MI (Onsite)

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

Job 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.

Experience Preferred

• 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

Education Required

• Bachelor's Degree

Education Preferred

• Certification Program
• Listed salary ranges may vary based on experience, qualifications, and local market. Also, some positions may include bonuses or other incentives***

About Stefanini Group

The Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting company with a global presence. We are a CMM Level 5 company.