ServiceNow
Company Description: It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work.
Job Description: As a Sr. Software Engineer you will be a member of our Global Cloud Services organization. In this challenging role, you will have the opportunity to build next generation customer facing cloud Observability tools. You will also work cross functionally with multiple teams on the design, architecture and implementation of our Observability platform with the focus on AI powered UX that enables self-service monitoring for our customers.
This role requires the candidate to spend 90% of time on UI development and 10% on backend development.
What You Get To Do In This Role
Develop High-Quality, Scalable, and Reusable Code Using AI-Assisted Tools: Write clean, maintainable, and modular code by applying best practices in software architecture and engineering and leverage AI-assisted design and development tools to accelerate implementation and enforce consistency across the codebase. Own the End-to-End Software Development Lifecycle (SDLC): Collaborate closely with product owners to gather detailed requirements and translate them into technical solutions. Drive the full SDLC—from rapid prototyping to design, implementation, testing, and deployment—using AI-powered code generation, testing, and CI/CD tools to ensure speed and quality. Design and implement Observability products and features that are AI-native: Embedding intelligent capabilities such as automation, personalization, and predictive insights into the core of the user experience. Act as a mentor to peers and junior engineers by sharing AI/ML and software engineering knowledge through code reviews, design sessions, and technical discussions. 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. Proven experience designing and delivering AI-powered user experiences, including conversation design, LLM integration, prompt engineering, and retrieval-augmented generation (RAG). 1+ years of integrating Copliot/windsurf (or equivalent) 5+ software development experience + reviews risks with a Bachelor's degree; or 3 years and a Master's degree; or equivalent work experience. Strong knowledge of UX principles (human-centered design, trust, transparency, error recovery) and ability to apply them to autonomous and semi-autonomous AI agents. Deep knowledge of Javscript, AJAX, JSON, HTML, XML, CSS, REST, High charts and associated frameworks Passion for evaluating root causes with LLMs and problem solving, domain expertise preferred Strong skills in Java and related frameworks Strong skills in CI/CD pipelines, containerization (Kubernetes, Docker), and cloud-native deployments using AI-assisted tools Strong in query language - SQL, Prometheus Query Language Preferred: Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. Excellent troubleshooting, debugging, and performance optimization skills in distributed and enterprise environments. Strong collaboration and stakeholder communication skills, with the ability to influence product direction and champion AI-first design principles. Preferred: Hands-on expertise with AI orchestration frameworks and building workflows for agentic or multi-agent systems. Development experiences on the ServiceNow Platform is a big plus. ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law.
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Develop High-Quality, Scalable, and Reusable Code Using AI-Assisted Tools: Write clean, maintainable, and modular code by applying best practices in software architecture and engineering and leverage AI-assisted design and development tools to accelerate implementation and enforce consistency across the codebase. Own the End-to-End Software Development Lifecycle (SDLC): Collaborate closely with product owners to gather detailed requirements and translate them into technical solutions. Drive the full SDLC—from rapid prototyping to design, implementation, testing, and deployment—using AI-powered code generation, testing, and CI/CD tools to ensure speed and quality. Design and implement Observability products and features that are AI-native: Embedding intelligent capabilities such as automation, personalization, and predictive insights into the core of the user experience. Act as a mentor to peers and junior engineers by sharing AI/ML and software engineering knowledge through code reviews, design sessions, and technical discussions. 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. Proven experience designing and delivering AI-powered user experiences, including conversation design, LLM integration, prompt engineering, and retrieval-augmented generation (RAG). 1+ years of integrating Copliot/windsurf (or equivalent) 5+ software development experience + reviews risks with a Bachelor's degree; or 3 years and a Master's degree; or equivalent work experience. Strong knowledge of UX principles (human-centered design, trust, transparency, error recovery) and ability to apply them to autonomous and semi-autonomous AI agents. Deep knowledge of Javscript, AJAX, JSON, HTML, XML, CSS, REST, High charts and associated frameworks Passion for evaluating root causes with LLMs and problem solving, domain expertise preferred Strong skills in Java and related frameworks Strong skills in CI/CD pipelines, containerization (Kubernetes, Docker), and cloud-native deployments using AI-assisted tools Strong in query language - SQL, Prometheus Query Language Preferred: Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. Excellent troubleshooting, debugging, and performance optimization skills in distributed and enterprise environments. Strong collaboration and stakeholder communication skills, with the ability to influence product direction and champion AI-first design principles. Preferred: Hands-on expertise with AI orchestration frameworks and building workflows for agentic or multi-agent systems. Development experiences on the ServiceNow Platform is a big plus. ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law.
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