Software Engineer (ServiceNow)

We are seeking a ServiceNow Developer / Software Engineer to shape and deliver secure, scalable ServiceNow solutions for EU customers, driving long-term value. You will lead the responsible adoption of AI and automation to transform workflows and improve outcomes, collaborating with architects, product owners, and global teams to maximize mutual benefit. You’ll demonstrate integrity, compliance, and a commitment to Our Values in all technical and business decisions.

A Typical Day in the Life Includes:

- Design, build, test, and deploy secure, scalable solutions on the new EU ServiceNow instance across CSM, ITSM, Knowledge, CMDB, and related workflows, driving long-term value (Vision).
- Develop platform logic using JavaScript, Glide APIs, Business Rules, Script Includes, Client Scripts, UI Policies, Flow Designer, and Integration Hub.
- Lead the build of agentic workflows with AI Agents, applying responsible AI practices (explainability, bias and quality testing, guardrails, drift monitoring) in line with EU requirements.
- Design and troubleshoot integrations (REST/SOAP, import sets, transform maps, MID Server), solving complex problems to optimize team performance (Comparative Advantage).
- Implement role-based access, ACLs, auditability, and privacy-by-design controls for EU customer data, upholding integrity and compliance.
- Collaborate with architects, product owners, and global teams through peer reviews, testing, root-cause analysis, and production support; promote code through dev, test, UAT, and production (Virtue & Talents).
- Produce documentation and runbooks, share knowledge, challenge assumptions, and foster innovation to support continuous improvement.

Basic Qualifications:

- 3+ years of hands-on ServiceNow development and administration experience.
- Strong JavaScript, Glide API, Flow Designer, and ServiceNow data model skills.
- Experience with CSM and/or ITSM, and with REST/SOAP integrations and data imports.
- Understanding of roles, ACLs, scoped apps, update sets/source control, and platform governance.
- Working knowledge of AI/automation concepts (LLMs, prompts) and generative AI risks, with a drive to apply and expand this knowledge (Knowledge).
- Agile/Scrum experience; strong communication and troubleshooting skills.
- Initiative, openness to feedback, and a commitment to continuous growth and greater contribution (Motivation).
- Ability to work independently in a distributed international team; professional English.