14th October, 2026
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: 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,
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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.
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