Software Engineer #1066166

Fasttek; Dearborn (MI); Vor Ort; USD 110.000 - 160.000; Vollzeit

Benefits dieser Stelle

Medical and Dental

Vision

PTO (Personal Time Off)

Long Term Disability

Life Insurance

401(k) with match

Zusammenfassung

FastTek Global seeks a skilled Software Engineer in Dearborn, Michigan to advance the Vehicle Integration System (VIS). You will design and implement cloud-native and desktop applications, integrating CAN/J1939 signals, telematics, and vehicle modules while collaborating with software, hardware, and supplier teams.

You will build scalable services with Java/Spring Boot, Node.js, React, and PostgreSQL, ensuring performance, security, and maintainability across VIS components, APIs, and workflows.

Qualifikationen

• 7+ years of software engineering experience with enterprise-scale systems.
• Expert-level proficiency in Java / Spring Boot, Node.js / Express, ReactJS, PostgreSQL, REST APIs.
• Experience building distributed systems, microservices, and event-driven architectures.
• Strong understanding of API design, OpenAPI, GraphQL, and integration patterns.
• Experience with cloud-native development on Azure, Google Cloud, or AWS.

Aufgaben

• Design, develop, and maintain scalable cloud-native and desktop-based VIS configurations.
• Architect and implement microservices and APIs using Java, Spring Boot, Node.js, React, and PostgreSQL.
• Develop reusable frameworks and services for vehicle feature configuration, signal management, and workflows.
• Lead observability, performance engineering, API governance, and secure software development lifecycle practices.

Kenntnisse

Java / Spring Boot

Node.js / TS

ReactJS

PostgreSQL

Google Cloud Platform

REST / GraphQL APIs

Embedded Software

Cloud & DevOps

Ausbildung

Bachelor's Degree

Tools

Kubernetes

Docker

CI/CD

Jobbeschreibung

Dearborn, Michigan Software Engineer #1066166

Job Description:

• As a Software Engineer, you will play a key role in the architecture, development, and evolution of Vehicle Integration System (VIS), a critical platform enabling vehicle upfitters, fleet customers, and internal engineering teams to configure and integrate aftermarket equipment with production vehicles.
• You will work at the intersection of cloud software, embedded vehicle systems, AI-powered engineering tools, and vehicle communications networks.
• The role requires strong software engineering expertise combined with automotive systems knowledge to enable seamless integration of CAN/J1939 signals, vehicle switches, telematics data, proprietary vehicle modules, and future software-defined vehicle capabilities.
• The ideal candidate is a technically strong engineer who can translate feature requirements from vehicle engineering teams into scalable software solutions while collaborating across software, hardware, telematics, validation, and supplier organizations.

Software Engineering

• Design, develop, and maintain scalable Google cloud-native and desktop-based applications supporting VIS configuration workflows with solid understanding of vehicle architecture.
• Architect and implement microservices and APIs using Java, Spring Boot, Node.js, React, and PostgreSQL.
• Develop reusable frameworks and services that support vehicle feature configuration, signal management, and integration workflows.
• Ensure performance, scalability, reliability, and cybersecurity requirements are met across all VIS components.

Vehicle Integration & Systems Engineering

• Collaborate closely with vehicle feature engineers, module owners, telematics teams, and external suppliers to integrate new vehicle capabilities into VIS.
• Support integration of: - CAN and CAN-FD signals - J1939 communications - LIN-based devices - Vehicle Ethernet technologies - Hard switches and soft switches - Telematics and connected vehicle services
• Analyze vehicle architecture changes and determine impacts to VIS configuration models and workflows.
• Participate in system-level design reviews and technical feasibility assessments.
• Design and integrate AI-powered capabilities that improve configuration authoring, validation, and diagnostics.
• Evaluate emerging AI technologies applicable to vehicle integration and software-defined vehicles.

Operational Excellence

• Lead observability initiatives using SLOs, SLIs, dashboards, monitoring, and alerting frameworks.
• Drive performance engineering, API governance, and software quality practices.
• Champion secure software development lifecycle practices and compliance requirements.
• Mentor engineers and promote engineering best practices across the team.

Cross-Functional Leadership

• Translate business and vehicle feature requirements into technical implementation plans.
• Lead technical discussions with hardware teams, telematics architects, validation teams, and external suppliers.

Skills Required:

Embedded Software, PostgreSQL, Spring Boot, React, Google Cloud Platform, Java, API Here is minimum one must bring to the table:

• Java / Spring Boot - 5-7 years
• Node/TypeScript/React - 3-5 years
• PostgreSQL - 3-5 years
• Embedded Software - 3-5 years (in-vehicle software development and testing with automotive experience is must - knowledge of vehicle system like CAN signals, telematics, gateways, TCUs,)
• Google Cloud Platform - 3-5 years
• REST and GraphQL API - 5-7 years
• Experience working with automotive communication networks

Experience Required:

Software Engineering

• 7+ years of software engineering experience with enterprise-scale systems.
• Expert-level proficiency in:
  • Java / Spring Boot
  • Node.js / Express
  • ReactJS
  • PostgreSQL
  • REST APIs
• Experience building distributed systems, microservices, and event-driven architectures.
• Strong understanding of API design, OpenAPI specification, GraphQL, and integration patterns.

Cloud & DevOps

• Experience with cloud-native development on Azure, Google Cloud, or AWS.
• Experience with:
  • Kubernetes
  • Docker
  • CI/CD pipelines
  • Infrastructure as Code
• Hands-on experience with:
  • Jenkins
  • Tekton
  • Terraform
  • GitHub
  • SonarQube
  • JFrog
  • FOSSA
  • 42Crunch

Automotive & Vehicle Integration

• Experience working with automotive communication networks:
  • CAN
  • CAN FD
  • J1939
  • LIN
  • Automotive Ethernet
• Understanding of vehicle electrical architectures and body control systems.
• Experience analyzing vehicle signals, message definitions, and communication protocols.
• Ability to interpret vehicle feature requirements and implement corresponding software solutions.
• Experience working with supplier-delivered software, firmware, or hardware modules.

Experience Preferred:

Automotive Domain

• Experience with Upfitter Integration, Fleet Solutions, Commercial Vehicles, Body Builder Interfaces, or Aftermarket Equipment Integration.
• Familiarity with vehicle electrical architecture concepts.
• Understanding of telematics systems, gateways, TCUs, and connected vehicle platforms.
• Knowledge of J1939 PGNs, SPNs, and heavy-duty vehicle communication standards.
• Exposure to:
  • Service-oriented vehicle architecture
  • OBD2, DTC
  • Vehicle data platforms
  • Cloud-connected vehicle ecosystems

Additional Technical Experience

• Experience with analytics and visualization platforms.
• Experience working with vehicle diagnostic tools and data acquisition systems.
• Familiarity with AUTOSAR architecture concepts.
• Understanding of concepts around cybersecurity standards in automotive functional safety.

Professional Skills

• Strong communication and stakeholder management skills.
• Ability to lead technical discussions across software, hardware, and systems engineering teams.
• Demonstrated ability to mentor engineers and influence technical direction.
• Experience working in Agile product development environments.

Education Required:

• Bachelor's Degree

Additional Information:

• Analyze vehicle feature requirements, PRDs, Gherkin scenarios, signal definitions, network specifications, and module interface documentation to translate vehicle capabilities into VIS configuration logic and software implementations.
• Develop and maintain high-level and detailed architecture designs for VIS components, APIs, vehicle integration services, AI-enabled capabilities, and cloud-connected systems.
• Champion modern engineering practices including automated testing, test-driven development, CI/CD, infrastructure as code, code quality metrics, and DevSecOps principles.
• Evaluate technical requirements and determine appropriate architecture patterns, technology stacks, integration approaches, deployment strategies, and data models to support current and future VIS capabilities.

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-fashioned hard 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

Plus, we have a lucrative employee referral program and an employee recognition culture.

FastTek Global was named one of the Top Work Places in Michigan by the Detroit Free Press in 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, and 2023!

To view all of our open positions go to: https://www.fasttek.com/fastswitch/findwork

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You can become a fan of FastTek on Facebook: https://www.facebook.com/fasttekglobal/

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].