Staff Software Engineer, ServiceNow
Impact - Central AI
Cloud-based digital workflows for enterprises
Be an early applicant
Cloud-based digital workflows for enterprises
1001+ employees
Be an early applicant
1001+ employees
Company mission
To transform IT to revolutionise the enterprise.
Role
Who you are
- Proven experience leveraging AI to drive measurable business or operational outcomes — automating workflows, generating insights, or enhancing user decision-making
- Day-to-day work involves JavaScript, but strong foundations in Java, Python, or similar object-oriented languages are equally valued. Must have 6+ years of enterprise-level software engineering experience
- Solid understanding of data structures, algorithms, design patterns, and performance optimisation, particularly in AI-driven systems
- Strong proficiency in modern UI frameworks (React, Angular, Vue) and building intelligent, modular front-end solutions
- Practical experience with cloud AI services and platforms (e.g., Azure AI, AWS SageMaker, Vertex AI) and integrating ML models into production applications
- Familiarity with automated testing frameworks (JUnit, Selenium, TestNG) and CI/CD pipelines to ensure consistent, high-quality releases
- Understanding of software quality principles including reliability, observability, and production readiness
- Strong analytical and problem-solving skills, with the ability to assess AI feasibility, risk, and business impact
- Comfort with development tools such as IDEs, debuggers, profilers, source control, and Unix-based systems
- Excellent communication and collaboration skills, with the ability to influence technical direction and mentor others in best practices
What the job involves
- You'll leverage AI capabilities to design and implement solutions that deliver measurable business value—from intelligent automation and insights to personalised digital experiences
- Architect, build, and optimise scalable, maintainable, and reusable systems that integrate AI into enterprise workflows with performance, reliability, and production readiness in mind
- Collaborate with cross-functional teams (product, design, data science, and platform engineering) to translate complex business challenges into practical, AI-powered capabilities
- Lead the end-to-end AI lifecycle — data collection, model integration, monitoring, evaluation, and continuous improvement
- Experiment with emerging AI frameworks, LLMs, and automation tools to prototype innovative solutions and assess production readiness
- Champion engineering excellence by embedding automated testing, CI/CD best practices, observability, and reliability into all phases of development
- Mentor and guide engineers, sharing best practices for software craftsmanship, responsible AI use, and continuous learning across the team
- Partner with architecture and platform teams to define standards and governance for responsible, ethical, and secure AI implementation
- Participate in design and code reviews to ensure adherence to best practices in performance, maintainability, scalability, and testability
- Promote a culture of innovation and collaboration, sharing insights that advance both AI adoption and software quality organisation-wide
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 7500 customers, including 80% of the Fortune 500 list of the United States' largest corporations. ServiceNow now looks to increase its revenue threefold in 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 $15 billion, 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
- Commuter benefits
- Annual learning stipends
- Work from home opportunities
- Generous family leave
- Matched donations
- Flexible PTO
- 401(k) matching
- Paid volunteer time
Company HQ
Santa Clara, CA
Leadership
Fred Luddy
(Founder & Chairman Of The Board)Previously Software Developer at Amdahl Corporation for 4 years and CTO at Peregrine Systems for 13 years.
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