Software Engineer, Internal Apps (Backend)

About Harbinger

Harbinger is an American commercial electric vehicle (EV) company on a mission to transform an industry starving for innovation. Harbingers best-in-class team of EV battery and drivetrain experts have pooled their deep experience to support the growing demand for medium-duty EVs and Hybrids. Leveraging a foundation of proprietary in-house developed vehicle technologies designed specifically for commercial and specialty vehicles Harbinger is bringing a first-of-its-kind EV platform to market priced at acquisition parity to traditional diesel vehicles. Harbinger: Familiar Form Revolutionary Foundation.

Job Summary

Harbinger Motors is seeking a talented and experienced Backend Software Engineer to build the robust scalable and secure systems that power our next-generation electric vehicles and connected services. In this role you will be instrumental in designing developing and maintaining critical backend infrastructure data pipelines and real-time communication systems. You will work on challenging problems at the intersection of automotive technology IoT and cloud computing directly impacting the performance safety and functionality of our vehicles.

Responsibilities

• Design develop and maintain highly scalable reliable and secure backend services and APIs primarily using Go/Golang.
• Build and optimize event-driven systems and real-time notification pipelines to handle high-throughput vehicle data and telemetry.
• Architect and manage cloud infrastructure (especially AWS) leveraging Infrastructure-as-Code tools (e.g. AWS CDK Terraform) to ensure automated repeatable deployments and operations.
• Develop and integrate with IoT protocols (MQTT Protobuf) to facilitate real-time communication with our vehicle fleet.
• Implement and enforce authentication and security standards (JWT OAuth2 mTLS TLS 1.3) to protect sensitive vehicle and customer data.
• Integrate seamlessly with third-party APIs and services (e.g. authentication providers PLM systems charging networks).
• Champion a strong testing mindset by writing comprehensive unit integration and end-to-end tests to ensure code quality and system reliability.
• Contribute to and optimize CI/CD pipelines Dockerization and other modern development workflows to ensure efficient and automated software delivery.
• Collaborate closely with cross-functional teams including embedded software infotainment data science and product management to define requirements and deliver integrated solutions.
• Troubleshoot and debug complex issues across the entire backend stack.
• Stay current with emerging technologies and industry best practices actively contributing to architectural discussions and technology choices.

Required Skills and Experience

• 3 years of experience in backend software development with a strong preference for Go/Golang.
• Proven experience designing and implementing event-driven systems and real-time notification pipelines.
• Strong experience with cloud infrastructure (especially AWS) including services like EC2 S3 Lambda DynamoDB RDS SQS SNS IoT Core.
• Hands-on experience with Infrastructure-as-Code tools (e.g. AWS CDK Terraform) for managing cloud resources.
• Practical experience with IoT protocols (MQTT Protobuf) and building real-time systems.
• Familiarity with common authentication and security standards (JWT OAuth2 mTLS TLS 1.3).
• Experience integrating with third-party APIs and services (e.g. payment gateways external data sources).
• Strong testing mindset with demonstrated experience writing robust unit integration and end-to-end tests.
• Proficiency with CI/CD pipelines Docker and modern development workflows.
• Experience with relational and/or NoSQL databases.
• Excellent problem-solving analytical and debugging skills.
• Strong communication and collaboration skills with the ability to articulate technical concepts to both technical and non-technical stakeholders.

Preferred Qualifications

• Bachelors or Masters degree in Computer Science Software Engineering or a related field.
• Experience in the automotive IoT or a similar real-time data-intensive industry.
• Knowledge of vehicle data buses (e.g. CAN Ethernet) and related data structures.
• Experience with microservices architecture.
• Contributions to open-source projects.