Senior Node.js Backend Engineer - Serverless AWS Expert

TechDigital Group; Orlando (FL); On-site; USD 80,000 - 120,000; Full time

Job summary

An established industry player is seeking a talented software engineer to design and implement robust serverless applications using Node.js on AWS. This role involves evolving architecture, integrating with third-party APIs, and optimizing performance in a dynamic environment. The ideal candidate will have extensive experience in Node.js, AWS services, and asynchronous messaging systems. Join a forward-thinking team that values innovation and collaboration, and contribute to exciting projects that leverage cutting-edge technology. If you're passionate about building scalable solutions and thrive in a fast-paced setting, this opportunity is perfect for you.

Qualifications

• Over 5 years of experience in Node.js development and building scalable backends.
• Strong knowledge of AWS services with a focus on serverless architectures.

Responsibilities

• Design and implement reusable software components and serverless applications.
• Collaborate with teams and manage asynchronous communication using RabbitMQ.

Skills

NodeJS

JavaScript

TypeScript

AWS Lambda

RabbitMQ

MongoDB

Agile methodologies

Scrum

CI/CD pipelines

Microservices

Tools

Git

GitHub

GitLab

Jira

AWS CodePipeline

AWS CodeBuild

AWS CloudFormation

Job description

Job Description:

• Required Degree: BS or MS in Electrical Engineering or Computer Engineering, Mechanical Engineering, or equivalent

Job Requirements:
The Hardware-in-the-Loop (HiL) Engineer supports the product development and system integration processes by developing test procedures for automated execution, implementing tests using Hardware-in-the-Loop equipment, documenting and reviewing execution reports, reporting incidents, and tracking software updates to fix issues. This role requires depth with CarMaker. The HiL Engineer develops expertise in software test design and has advanced knowledge in vehicle functional partitioning, electrical and communication architectures, Ford's embedded software processes, and the Global Product Development System. This role requires close collaboration with feature owners, engineering, and suppliers to develop a strong understanding of the vehicle functions and implement appropriate test design strategies for early identification of defects and to provide evidence of defect elimination.
Responsibilities
• Develop chassis (brakes, steering, suspension) control algorithms for advanced chassis systems to deliver vehicle attributes, including control architecture selection, algorithm simulation, implementation, and verification and validation via leveraging a combination of model-in-the-loop (MIL), software-in-the-loop (SIL), hardware-in-the-loop (HIL) and vehicle test environment.
• Leverage, subsystem- and component-level CAE models to analyze dynamic systems and complex system interactions, and to support concept analysis and verification, parameter optimization, and controls/design verification and validation.
• Define and review physical system testing and characterization to validate CAE models and guide vehicle and control system design.
• Control algorithm implementation on embedded controllers.
• Support the quality process workstreams (P-diagrams, FMEAs, requirements development, functional safety - ISO26262).
• Create and maintain comprehensive documentation to support global engineering and quality processes, and to facilitate technology transfer: system models, use cases, requirements, design validation tests, and methods
• Leverage connected vehicle technologies (wireless communication, location and route data, cloud-computing resources, AI/ML techniques, etc.) to improve customer experience with enhanced controls and prognostics
Qualifications Required:
• Bachelor's Degree in electrical engineering, mechanical engineering, aerospace engineering or a related field with emphasis on control systems
• Experience with data analysis, scripting, and modeling & simulation of dynamic systems using CarMaker and Python
• Experience with standard systems engineering tools including boundary diagrams, fault tree analyses, FMEAs, P-diagrams, etc.
• Knowledge of the ISO26262 Automotive Functional Safety standard
• Familiarity with AUTOSAR standards and tools for automotive software development
• Problem-solving skills with a passion for new technology development
• Demonstrated effective communication, documentation, and interpersonal skills in a team environment
• Demonstrated ability to manage and balance multiple tasks and timelines
• Proven ability to work well with others as part of a diverse global team
• 1+ years experience in dynamic systems and embedded real-time controls development for automotive or similarly complex electromechanical systems, including C or C++
• Subject matter expertise in chassis (brakes, steering, suspension) system hardware and control
• Understanding of automotive powertrain systems and controls (including hybrids), with fundamental knowledge of dynamics, hydraulics, electric machines, batteries, and mechatronics
Qualifications Preferred
• Master's Degree in mechanical, aerospace, electrical, systems engineering or similar field
• Familiarity with industry-standard systems engineering tools, including SysML
• Familiarity with ISO26262 engineering tools, including Hazard Analysis, Functional Safety Concept, Safety Requirements Specification, Functional Safety Requirements, Technical Safety Requirements
• Hands-on experience with distributed system prototyping, troubleshooting, and commissioning
• Experience using Matlab/Simulink for embedded controls development
• Experience with standard version control and collaboration systems (ClearCase, AccuRev, GitHub)
• Experience applying CAE (MIL/SIL/HIL, virtual system/plant models, regression testing) concepts and CI (Jenkins, GitHub, Gradle) tools in robust system controls development
• Knowledge of CAN/LIN/Ethernet communication protocols and development tools for automotive applications
• Familiarity with Ford development processes, GTDS, and GPDS
• Familiarity with Ford systems engineering systems and tools, including VSEM, FEDE, Stages, FRD, HLF
• 3+ years of experience in distributed systems engineering, including requirements management, function decomposition and allocation, failure mode avoidance, robustness analysis, and system validation and verification
• Experience with longitudinal controls for xEV systems (series hybrid, parallel hybrid, mild hybrid, battery electric, fuel cell)

Keywords: Automotive, HIL, CarMaker