Manager, Engineering (Backend Development)

We are seeking a highly technical, execution-focused Cloud Backend Engineering Manager to serve as the technical lead for our core cloud engineering pod. In this role, you will drive technical excellence through active, hands-on implementation and maintain deep module-level ownership of core system components.

You will participate in the technical roadmap definition, own the end-to-end execution of major platform components, and lead a talented team designing the server-side backend architectures that power next-generation software-defined vehicle platforms. You will be responsible for building the scalable, high-throughput cloud networks that interface directly with physical edge hardware, processing complex vehicle datasets from distributed fleets globally.

• →Hands-on Implementation & Module Ownership: Actively write core, high-performance Go/cloud infrastructure code while maintaining direct ownership over the architecture, quality, and technical health of critical backend modules.
• →Logger & Ingestion Pipeline Ownership: Design and optimise highly resilient, distributed cloud-native ingestion services capable of parsing, sorting, and processing massive binary or structured data payloads streaming from vehicle edge data loggers.
• →Remote Fleet Command & Control: Architect the configuration and orchestration APIs used to safely push configuration scripts, remote triggers, and firmware updates downward to vehicle loggers under constrained or intermittent cellular network conditions.
• →Team Evolution & AI Growth: Scale, recruit, mentor, and grow a highly technical AI backend engineering team responsible for core AI development, automation loops, and platform integrations. 
• →Database & Storage Strategy: Implement storage-tiering architectures (SQL, NoSQL, and OLAP databases) designed to transition data pipelines from real-time streaming alerts into cold-storage data lakes efficiently and cost-effectively.
• →Technical Mentorship & Code Governance: Drive technical excellence across the pod by establishing rigorous code reviews, automated CI/CD pipelines, and robust service testing guardrails.
• →Cross-Functional Alignment & Execution: Deliver major platform components on schedule, acting as a definitive technical authority for your backend pod who translates system requirements into concrete deliverables for product managers, front-end developers, and international engineering hubs.

• Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
• Experience: 9+ years of backend software development experience, with a proven track record of leading technical engineering squads as a Tech Lead, Component Owner, or Engineering Manager.
• Logger System Domain Familiarity: Strong experience interacting with or building the cloud/server-side components of hardware data logger ecosystems (e.g., Intrepid Control Systems’ Wireless neoVI, neoVI Plasma, Vector data logging servers, or equivalent industrial IoT/automotive edge-to-cloud architectures).
• Telemetry Data Handling: Conceptual or practical understanding of processing vehicle bus protocols (CAN, LIN, Automotive Ethernet) and their associated log file representations (e.g., BLF, MDF4, PCAP) at the cloud ingestion layer.
• AI Implementation: Proven track record of successful development of an AI/ML feature, intelligent workflow, or model pipeline delivered into a production distributed cloud environment. 
• Cloud & Infrastructure Stack: Proficiency with public cloud platforms, utilizing microservices, serverless solutions, containerization (Docker), and orchestrators (Kubernetes).
• Programming Languages: Advanced proficiency in Go (strongly preferred) or other low-latency systems-level back-end languages (e.g., Rust, Java, C++).
• Distributed Processing: Experience scaling real-time distributed message fabrics and streaming compute engines (e.g., Kafka, RabbitMQ, Spark Pipelines).
• Decisive Delivery: Exceptional communication and problem-solving skills; a technical leader who can drive the engineering execution of complex modules while collaborating across global time zones.