Staff Software Engineer, ServiceNow
Conversational and Agentic AI Platform Services
$166.5-291.4k
Variable/incentive compensation + ESPP
Cloud-based digital workflows for enterprises
Be an early applicant
Cloud-based digital workflows for enterprises
1001+ employees
Be an early applicant
$166.5-291.4k
Variable/incentive compensation + ESPP
1001+ employees
Company mission
To transform IT to revolutionize the enterprise.
Role
Who you are
- 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, OpenShift, or similar orchestration environments
- Experience designing scalable APIs, asynchronous processing systems, queues, event-driven services, or data-processing pipelines
- 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 reviews, and technical mentorship
- Strong communication skills and the ability to partner across product, research, engineering, infrastructure, and security
Desirable
- Prior experience working on AI/ML products, collaborating with research teams, or translating advanced AI/ML capabilities into production software
- Knowledge of NLP, search, and knowledge extraction
- Experience with multi-modal systems such as document ingestion and processing, image processing, and voice
- Working experience with frontier AI SDKs such as Anthropic, Google, or OpenAI
- Familiarity with prompt engineering, structured outputs, tool calling, agentic design patterns, Model Context Protocol, or AI-assisted development workflows
- Experience with observability tools such as Prometheus, Grafana, Instana, or equivalent monitoring/logging platforms
- Knowledge of MLOps or applying machine learning models to production use cases
- Experience with infrastructure backends such as PostgreSQL, Redis, Kafka, RabbitMQ, S3-compatible object storage, or equivalent technologies
- Published work, patents, conference papers, or open-source contributions related to AI systems, knowledge systems, search, retrieval, or large-scale data processing
What the job involves
- ServiceNow 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
- ServiceNow'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 ServiceNow 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, backpressure, 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
Our take
ServiceNow provides cloud-based solutions that define, structure, manage, and automate services for enterprise operations, transforming old, manual ways of working into modern digital workflows. The company was founded in 2004 with a vision to build a cloud-based platform that would enable regular people to route work effectively through the enterprise.
Much as Salesforce enables a company to manage its external clients by keeping a record of all contacts and interactions, ServiceNow promises an internal system to meet the needs of employees. It has succeeded in claiming half the market, setting itself apart from legacy IT service-management software players like BMC Software, Hewlett Packard Enterprise, Cherwell Software and CA Technologies.
The company's success comes from two product traits: simplicity and customisability. ServiceNow's IT tools don't require the IT department to set them up. Once running, they offer a single collection centre for requests, data points and checklists, all of which can in turn be analysed by algorithms to predict needs, flag concerns and measure efficiency.
The company has more than 7,700 customers, including 85% of the Fortune 500 list of the United States' largest corporations. ServiceNow now looks to increase its revenue threefold in the upcoming years and has entered into a 5-year partnership plan with Visa, beginning with the launch of a Visa-integrated dispute resolution solution for issuers. The company is prioritising organic growth over mergers and acquisitions, with a target revenue of $15B, something which its Visa partnership will no doubt aid in achieving.
Freddie
Company Specialist at Welcome to the Jungle
Insights
16% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Mar 2012
$11m
GROWTH EQUITY VC
Feb 2012
$17.9m
GROWTH EQUITY VC
Total funding: $83.8m
Company benefits
- Generous family leave
- Matched donations
- Annual learning stipends
- Flexible PTO
- Competitive retirement plan
- Paid volunteer time
Company HQ
Santa Clara, CA
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