about us
STARK is a new kind of defence technology company revolutionising the way autonomous systems are deployed across multiple domains. We design, develop, and manufacture high-performance unmanned systems that are software-defined, mass-scalable, and cost-effective — providing operators with a decisive edge in contested environments.
We are focused on delivering deployable, high-performance systems — not future promises. In a time of rising threats, STARK is bolstering the technological edge of NATO Allies and their Partners to deter aggression and defend Europe, today.
about the team
your mission
As Automation Engineer, you build and deploy automations that eliminate manual effort across operations and the back-office. You work across RPA, LLM-based tooling, and API integrations — and you are as likely to be automating an invoice approval chain as a production line data feed. You measure success in hours saved and errors eliminated.
responsibilities
Design and build RPA workflows for operational and back-office processes — UiPath, Power Automate, or equivalent
Develop LLM-based automation tools for document-heavy workflows: invoice extraction, quality certificates, order processing, email triage
Integrate automation solutions with ERP, MES, and business applications via APIs
Build agent-based workflows where multi-step reasoning or decision-making is required
Test, deploy, and maintain automations in production — including monitoring, alerting, and incident response
Document automation logic, dependencies, and maintenance procedures thoroughly
Work with operational and back-office teams to identify, scope, and prioritise new automation opportunities
qualifications
3–6 years building automations in an operational or business process context
Has shipped working automations into production — not just proof-of-concept or demo environments
RPA tools — UiPath, Power Automate, or equivalent (hands-on production experience)
Python scripting — for custom automation logic, API integration, and LLM tool use
API integration — REST APIs, webhooks, data exchange across ERP and business systems
Process analysis and QA mindset — automations must be reliable, not just functional
BSc in Computer Science, Software Engineering, or similar
nice to have
LLM-based tooling — prompt engineering, agent frameworks (LangChain, LlamaIndex, or similar)
ERP system familiarity (SAP, Microsoft Dynamics, or similar)
Manufacturing or back-office finance/ops experience
