Manager, Engineering (Backend Development)

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. #### Requirements:

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. Ireland Office Benefits & Perks Offered:

Time off (national holidays and statutory annual leave provisions apply)

Private Medical and Dental Insurance (for you and your dependents)

Income protection and Life insurance benefits

Occupational Pension Plan - Sonatus match up to 5% of your contribution

Wellness benefit allowance

Phone & internet reimbursement

Computer Accessory Allowance

Daily Deliveroo Lunch Credit

Hybrid office work-arrangement