Back-end Software Development Engineer #1058857

Fasttek; Dearborn (MI); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical and Dental

Vision

PTO

Long Term Disability

Life Insurance

401(k) with 3% match

Job summary

FastTek Global in Dearborn, Michigan is seeking a Back-end Software Development Engineer to design, build, and operate high-throughput backend systems that ingest, process, and serve large volumes of telematics data from connected vehicle fleets.

You will work at the intersection of distributed systems, data engineering, and API development, delivering reliable, low-latency services powering fleet intelligence products for commercial and enterprise customers. A Bachelor’s degree is required.

Qualifications

• GCP—Experience deploying and managing services on Google Cloud Platform, including Compute Engine, Cloud Storage, IAM, and Cloud Functions.
• Big Data—Experience with large-scale data processing frameworks (Spark, Dataflow, BigQuery).
• Artificial Intelligence & Expert Systems—Experience developing or integrating AI/ML models or rule-based expert systems.
• API—Experience designing, building, and consuming RESTful or gRPC APIs.

Responsibilities

• Design, build, and operate high-throughput backend systems handling telematics data.
• Develop scalable backend services and APIs for fleet intelligence products.
• Build real-time and batch data pipelines ingesting vehicle event streams into data warehouses.
• Ensure low-latency services for commercial and enterprise customers.

Skills

GCP

Big Data

Artificial Intelligence & Expert Sys

API

Education

Bachelor's Degree

Tools

Google Cloud Platform

Job description

Back-end Software Development Engineer #1058857

Dearborn, Michigan

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

• 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.
• Big Data - Experience working with large-scale data processing frameworks such as Apache Spark, Dataflow, or BigQuery. For example, building ETL pipelines that process terabytes of daily event data and transform it for downstream analytics.
• 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.
• 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

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

Additional Information

• Architect and optimize data access layers across heterogeneous storage systems — including relational databases (PostgreSQL, Cloud SQL), columnar warehouses (BigQuery), in-memory caches (Redis), and wide-column stores (Bigtable) — selecting the appropriate store for each access pattern
• Collaborate with data engineers and analysts to design stored procedures, views, and query patterns in analytical databases that meet strict latency and throughput SLAs for reporting endpoints
• Implement data aggregation, transformation, and enrichment logic — including time-series rollups, geo-spatial calculations, and unit/timezone conversions — to produce accurate, consistent reporting outputs
• Build and enforce data contracts and schema evolution strategies to ensure backward compatibility and stability across upstream producers and downstream
• API consumers Integrate backend services with cloud-native infrastructure (GCP, AWS, or Azure) including event-driven architectures, scheduled jobs, serverless functions, and container orchestration platforms (Kubernetes/GKE)
• Instrument services with observability tooling — structured logging, distributed tracing, and metrics — and participate in on-call rotations to maintain high availability and reliability targets (SLO/SLA)
• Apply security best practices including authorization scoping (e.g., segment- or fleet-scoped data access), secrets management, and data privacy controls in compliance with automotive and enterprise data regulations
• Partner with product, data science, and platform teams in an agile delivery model — contributing to technical design reviews, code reviews, and architectural decisions for new capabilities on the telematics platform

Additional Info

At FastTek Global, Our Purpose is Our People and Our Planet. We come to work each day and are reminded we are helping people find their success stories. Also, Doing the right thing is our mantra. We act responsibly, give back to the communities we serve and have a little fun along the way. We have been doing this with pride, dedication and plain, old-fashionedhard work for 24 years! FastTek Global is financially strong, privately held company that is 100% consultant and client focused. We've differentiated ourselves by being fast, flexible, creative and honest. Throw out everything you've heard, seen, or felt about every other IT Consulting company. We do unique things and we do them for Fortune 10, Fortune 500, and technology start-up companies. Our benefits are second to none and thanks to our flexible benefit options you can choose the benefits you need or want, options include:

• Medical and Dental (FastTek pays majority of the medical program)
• Vision
• Personal Time Off (PTO) Program
• Long Term Disability (100% paid)
• Life Insurance (100% paid)
• 401(k) with immediate vesting and 3% (of salary) dollar-for-dollar match

AI & Hiring Disclosure

We use AI tools to support parts of our hiring process, such as reviewing applications and identifying potential matches. These tools are designed to promote efficiency, consistency, and fairness, and they are always used under human oversight. All personal data collected is used solely for recruitment purposes, and you have the right to know, access, or request deletion of your data at any time, subject to legal limits. If AI will be used in a video interview, you'll be informed in advance and asked for your consent, with the option to opt out. Our tools are regularly reviewed to detect potential bias and to ensure compliance with all applicable laws and our commitment to inclusive hiring. To learn more or exercise your rights, please contact us at [e-mail].