Software Engineer, Backend Developer, AI Engineer (Applied​/Software)

Staff Software Engineer, Conversational and Agentic AI Platform Services

• Full-time
• Employee Type:
  Regular
• Region: AMS - North America and Canada
• Work Persona:
  Flexible

It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, Service Now is the AI control tower for business reinvention. Our Service Now AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better.

We’re building an AI-native culture where technology and talent are unstoppable together. And we’re just getting started.

Join us to put AI to work for people.

Service Now is looking for a strong software engineer and technical lead with deep software design and architecture skills, strong coding ability, and the technical judgment to build reliable production systems at enterprise scale.

Service Now’s core platform is built on a powerful and highly scaled Java service that supports some of the world’s largest enterprise workflows. In this team, we are extending that platform with modern Python and Java microservices that complement the main platform architecture and enable new AI‑native capabilities. These services are designed to run in Kubernetes‑based environments while integrating deeply with the broader Service Now platform.

We are focused on production‑grade services that bring together enterprise data, AI model integrations, scalable APIs, evaluation workflows, and reliable deployment patterns. You will own the design, development, and operation of containerized backend services running in Kubernetes environments. You will apply strong distributed systems and production reliability judgment to build scalable, maintainable services, and you will lead technical design across ambiguous, high‑impact problem spaces.

Experience working on AI, GenAI, ML‑powered, or data‑intensive products will help you be especially successful in this role.

• Designing, architecting, and implementing Java and Python microservices deployed on Kubernetes
• Designing APIs, service boundaries, data models, and integration patterns for AI‑enabled products
• Building reliable distributed systems that handle concurrency, queueing, retries, fairness, back pressure, and failure recovery
• Integrating frontier AI SDKs such as Anthropic, Google, and OpenAI into production software systems
• Applying prompt engineering, structured outputs, model evaluation, and production observability to GenAI use cases
• Partnering with research, product, security, and infrastructure teams to ship enterprise‑grade services
• Raising the engineering bar through architecture reviews, code reviews, mentoring, and technical direction

To be successful in this role, you have:

• 8+ years of professional software engineering experience, with strong fundamentals in data structures, algorithms, distributed systems, APIs, and backend service design
• Experience in leveraging or critically thinking about how to integrate AI into work processes, decision‑making, or problem‑solving (including using AI‑powered tools, automating workflows, analyzing AI‑driven insights, or exploring AI’s potential impact)
• Demonstrated experience as a technical lead, Staff Engineer, or equivalent senior individual contributor responsible for architecture, technical direction, code quality, and mentoring
• Strong backend engineering skills in Java, Python, or equivalent with hands‑on experience designing, building, and operating production services
• Hands‑on experience building or operating containerized applications deployed in Kubernetes, Open Shift, or similar orchestration environments
• Familiarity with cloud‑native infrastructure, service observability, logging, monitoring, reliability engineering, and production troubleshooting
• Ability to make pragmatic architecture decisions across performance, reliability, security, maintainability, and delivery speed
• Ability to lead other engineers through code reviews, design…