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. Develop performant, reusable frontend components using ReactJS or Angular with modern JavaScript/TypeScript. 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. 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.
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. Strong frontend skills: ReactJS or Angular, JavaScript/TypeScript, and solid HTML/CSS fundamentals. 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. 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.
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 incl
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