Full Stack Developer

Stefanini
Dearborn, MI, United States
6 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
1 year minimum
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Adobe InDesign Application Programming Interfaces (APIs) Artificial Intelligence Airflow Amazon Elastic Compute Cloud Big Data BigTable BigQuery Cloud Storage Continuous Integration Information Engineering
+42 more
Data Warehousing Distributed Systems Expert Systems Data Flow Control Fraud Prevention and Detection Global Positioning Systems (GPS) Apache Hadoop Identity and Access Management Java Virtual Machine (JVM) Python (Programming Language) PostgreSQL Machine Learning OAuth Performance Tuning Recommender Systems Redis Tensorflow SQL Databases Management of Software Versions Google Cloud Pytorch Database Optimization Apache Spark Spring-boot Build Server Amazon Virtual Private Cloud (VPC) Backend Rate Limiting Kotlin Data Lakes Kubernetes Storage Technologies Apache Kafka Graphql Machine Learning Operations Api Design Restful APIs Grpc Looker Analytics Data Pipelines Docker Programming Languages

Job description

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. 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.

Requirements

Experience Required: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 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: Google Cloud Platform (or equivalent), Docker, Kubernetes, CI/CD pipelines Practices: TDD, MLOps-adjacent data pipeline patterns, database performance tuning, API versioning

Skills Required:Experience with Google Cloud Platform, Big Data, Artificial Intelligence & Expert Systems, API and Big Query Expert 3 Yrs. with Google Cloud Platform involve in design, deploy, and manage workloads on Google Cloud Platform (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. Expert 2+ years

Skills Preferred:Expert 3+ years with Google Cloud Platform: Broader Google Cloud Platform 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.

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 the company

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.

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