Senior Software Engineer - Support Systems

Nayax•Schenectady, NY

18h•Onsite

About The Position

Join us at Nayax, a global fintech leader (NASDAQ; TASE: NYAX) revolutionizing the world of cashless payments, consumer engagement, and business management solutions. With more than 1,200 employees across 13 offices worldwide. At Nayax, you’ll be part of a diverse and innovative community where your work makes a real impact and helps shape the future of payments. We're not looking to fill a seat — we're looking for a rockstar Senior Software Engineer - Support Systems who can build the tooling and platforms our support org runs on, and become the go-to expert on how support actually gets done here. In this role, you'll design and build the internal tools and platforms that make front-line and escalated support possible — real software, not spreadsheets — while acting as the subject-matter expert on support practices across the team. The Senior Software Engineer - Support Systems reports directly to the Director of Software. This is a hands-on, builder's role — remote-friendly, we care where the talent is, not where the desk is. This role requires working onsite from our Schenectady, NY office five days per week.

Requirements

At least 4+ years of Real hands-on software engineering experience with Node.js — must. you've shipped things, not just prototyped them
Hands-on experience building AI tools and solutions using LLMs, AI agents, or AI-powered automation frameworks — must.
Genuine interest in support practices and operations — you want to make the support team's job easier, not just write code in a vacuum
Comfortable owning a build end-to-end, from idea to something the team relies on daily
A track record of building and scaling support tooling/platforms at a high-growth company before — you've done this at scale, not for the first time

Nice To Haves

Experience building internal tools or platforms for a support or customer-ops team
Familiarity with EV charging, unattended payment, or IoT hardware support
Experience with observability/monitoring tooling — dashboards, alerting, diagnostics
Scripting or automation experience to speed up support workflows
Experience building AI agent ecosystems — multi-agent orchestration, tool-use, or LLM-powered automation

Responsibilities

Design, build, and maintain the internal tools and platforms that power our support organization — diagnostics, dashboards, automation, whatever the team actually needs
Act as the subject-matter expert on support practices — how issues get triaged, escalated, and resolved, and where the process itself needs to improve
Partner directly with the support and engineering teams to identify tooling gaps before they become bottlenecks
Own the reliability and usability of whatever you ship — you build it, you support it
Continuously improve support tooling based on real usage and feedback from the team on the ground