Sr Software Engineer Fullstack - Kubernetes

Software EngineeringEngineering, Infrastructure and OperationsFull-timeposted 4d ago

Company Description

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, ServiceNow is the AI control tower for business reinvention. Our ServiceNow 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.

Job Description

We are looking for a Senior Software Engineer with strong full-stack expertise — someone who can build rich, responsive frontends, design and scale robust backend services, develop and operate distributed systems in production. You will work across the entire stack, from customer-facing experiences to the high-throughput services and pipelines that power them, and increasingly build AI-driven capabilities and agents into the products you own — from design through production operation.

What you get to do in this role:

Design, build, and operate full-stack capabilities spanning frontend experiences, backend services, and data pipelines.
Build and scale backend services in Java and Python, designing clean, well-documented REST APIs with a focus on reliability and performance.
Develop and operate distributed, high-throughput systems for ingestion, streaming, and storage, including Kafka-based streaming pipelines and ClickHouse-backed data stores.
Deploy, scale, and troubleshoot services on Kubernetes.
Develop performant, reusable frontend components using ReactJS or Angular with modern JavaScript/TypeScript.
Design and integrate AI-powered features and agentic workflows into products — applying LLMs, retrieval, and agent frameworks to solve real customer problems.
Partner with product management, design, and peer engineering teams to take features from concept to production.
Own quality end to end — instrumentation, observability, testing, and performance at scale.
Participate in design and code reviews and help raise the technical bar across the team.

Qualifications

To be successful in this role you have:

Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.
6+ years of professional software engineering experience building and operating production systems.
Backend proficiency in both Java and Python, with hands-on experience designing and building REST APIs.
Hands-on experience with Kubernetes and containerization (Docker), including deploying and operating services in production.
Desired frontend skills: ReactJS or Angular, JavaScript/TypeScript, and solid HTML/CSS fundamentals.
Demonstrated experience designing distributed systems — scalability, fault tolerance, and messaging/streaming (e.g., Kafka).
Hands-on experience or strong working knowledge of AI/ML — building with LLMs, AI agents, MCP or agentic frameworks, and applying them in production or product contexts.
Working knowledge of data stores and pipelines, including streaming systems such as Kafka; experience with analytical databases such as ClickHouse is a plus.
Familiarity with CI/CD and cloud-native development practices.
A degree in Computer Science or a related field, or equivalent practical experience.
Strong communication and collaboration skills, with a bias toward ownership and action.

Additional Information

Work Personas

We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.

Equal Opportunity Employer

ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. 

Accommodations

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance.

Export Control Regulations

For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.