What are the responsibilities and job description for the Senior Product Engineer, Support Systems & AI Automation position at Nayax?
DESCRIPTION
We are seeking a Lead Product Engineer – Support Systems & AI Automation to help design, implement, and evolve the platform that powers support operations for our EV charging network.
This role sits at the intersection of product engineering, support operations, systems architecture, and AI automation.
The engineer in this role will lead the implementation of a modern support platform and automation architecture, working to transition support operations from existing tools and workflows into a more integrated and scalable system. This includes standing up the new operational framework, building automation and AI capabilities, and phasing support operations over from current systems into the new platform over time.
Unlike traditional support roles, this position is responsible for building and evolving the systems that enable support to scale efficiently, automate operations, and improve network reliability.
Key Responsibilities
Responsibilities Include:
Examples Include:
Responsibilities Include:
REQUIREMENTS
3–7 years of experience in roles such as backend engineering, systems engineering, reliability engineering, infrastructure engineering, or support platform engineering.
Strong Experience With:
Experience with REST APIs, event‑driven systems, cloud infrastructure (AWS preferred), automation frameworks, and operational tooling.
AI & Automation Experience
Experience Designing Or Integrating:
Preferred Experience
We are seeking a Lead Product Engineer – Support Systems & AI Automation to help design, implement, and evolve the platform that powers support operations for our EV charging network.
This role sits at the intersection of product engineering, support operations, systems architecture, and AI automation.
The engineer in this role will lead the implementation of a modern support platform and automation architecture, working to transition support operations from existing tools and workflows into a more integrated and scalable system. This includes standing up the new operational framework, building automation and AI capabilities, and phasing support operations over from current systems into the new platform over time.
Unlike traditional support roles, this position is responsible for building and evolving the systems that enable support to scale efficiently, automate operations, and improve network reliability.
Key Responsibilities
- Support Platform Engineering & Architecture
Responsibilities Include:
- Launching and implementing the next‑generation support platform architecture
- Designing support workflows and operational automation
- Building tools that improve troubleshooting and diagnostics
- Integrating operational data sources to improve support visibility
- Enabling monitoring and analytics to improve operational performance
- Supporting the phased transition from existing systems into the new support platform
- Ensuring the support platform can scale alongside network growth
- AI & Automation Development
Examples Include:
- AI‑assisted customer support agents
- Technical diagnostic AI agents
- Automated ticket triage and classification
- Predictive fault detection
- Automated operational workflows
- Knowledge base intelligence systems
- Operational Reliability Engineering
Responsibilities Include:
- Building monitoring and alerting capabilities
- Analyzing failure patterns across devices and locations
- Developing automated diagnostic tools
- Enabling remote troubleshooting and remediation
- Contributing to predictive maintenance capabilities
- Cross‑Functional Collaboration
- Fulfillment and Support Operations
- Software Engineering
- Hardware Engineering
- Field Service and Channel Partners
- Product Management
- Internal Systems and Integrations Team
- OEM partners
- Enterprise customers
REQUIREMENTS
3–7 years of experience in roles such as backend engineering, systems engineering, reliability engineering, infrastructure engineering, or support platform engineering.
Strong Experience With:
- APIs and system integrations
- Automation frameworks
- Distributed systems
- Monitoring and observability tools
- Incident management workflows
Experience with REST APIs, event‑driven systems, cloud infrastructure (AWS preferred), automation frameworks, and operational tooling.
AI & Automation Experience
Experience Designing Or Integrating:
- AI support agents
- LLM‑powered automation
- Conversational support systems
- AI‑driven workflow automation
- AWS Bedrock
- LLM orchestration frameworks
Preferred Experience
- Jira Service Management
- Zoho
- Salesforce
- HubSpot
- Charging station management systems
- IoT or connected hardware platforms
- Asset management platforms
- Field service management tools
- Monitoring and observability platforms
- EV charging infrastructure (OCPP)
- Energy infrastructure
- IoT device networks