Manager of Engineering (Backend Development)

Sonatus; Ireland; On-site; EUR 90,000 - 120,000; Full time

Benefits offered by this job

Stock option program

Flexible working arrangements

Unlimited PTO

Comprehensive benefits with generous allowance

Free in-office food & snacks!

Job summary

Sonatus is seeking a highly technical, execution-focused Cloud Backend Engineering Manager in Ireland. You will lead a talented team to drive technical excellence in cloud engineering and own critical server-side backend architectures. Responsibilities include overseeing the design and implementation of resilient cloud ingestion services and mentoring the team in AI development.

The ideal candidate will have extensive experience in backend software development, particularly in working with cloud infrastructure and AI solutions. Benefits include stock options, flexible working arrangements, and unlimited PTO.

Qualifications

• Experience in telemetry data handling and vehicle bus protocols (CAN, LIN, Automotive Ethernet).
• Strong experience with cloud/server-side components of hardware data logger ecosystems.
• 9+ years of backend software development experience with leadership roles.

Responsibilities

• Lead the core cloud engineering pod as a technical authority.
• Drive execution of major platform components.
• Recruit, mentor, and grow a highly technical AI backend engineering team.

Skills

Cloud infrastructure proficiency

Go programming language

Telemetry data handling

Distributed processing

AI/ML feature development

Education

Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field

Tools

Docker

Kubernetes

Kafka

RabbitMQ

Job description

Responsibilities

• 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

Benefits

• Stock option program
• Flexible working arrangements
• Unlimited PTO
• Comprehensive benefits with generous allowance
• Free in‑office food & snacks!

Requirements

• 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
• 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)
• Distributed Processing: Experience scaling real‑time distributed message fabrics and streaming compute engines (e.g., Kafka, RabbitMQ, Spark Pipelines)
• Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field
• Cloud & Infrastructure Stack: Proficiency with public cloud platforms, utilizing microservices, serverless solutions, containerization (Docker), and orchestrators (Kubernetes)
• 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
• 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
• Programming Languages: Advanced proficiency in Go (strongly preferred) or other low‑latency systems‑level back‑end languages (e.g., Rust, Java, C++)
• 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