Company DescriptionIt 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. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.
Job DescriptionAbout Digital Technology We're not yesterday's IT department, we're Digital Technology. The world around us keeps changing and so do we. We're redefining what it means to be IT with a mindset centered on transformation, experience, AI-driven automation, innovation, and growth. We're all about delivering delightful, secure customer and employee experiences that accelerate ServiceNow's journey to become the defining enterprise software company of the 21st century. And we love co-creating, using, and highlighting our own products to do it.
Ultimately, we strive to make the world work better for our employees and customers—when you work in ServiceNow Digital Technology, you work for them.
This opportunity is part of our Emerging Technology Group within Digital Technology. You will be responsible to drive the development of highly scalable backend services that will impact AI related products. As part of Digital Technology – you will be able to drive our customer zero strategy for ServiceNow product - we ensure the products works for us internally and delivers value as it gets in hands of our customers. With AI everywhere we are responsible for advance technology services which cuts across the enterprise like Search and Conversational Interfaces.
We are focused on accelerating innovations and developing new concepts, forward-thinking solutions and products leveraging ServiceNow's Intelligent platform.
What our team values: Being humble and having each other's backs.Learning new things and sharing expertise with each other—by answering a quick question on teams, pairing on a feature, or leading a lunch and learn session.Producing high quality work, we're proud of, and not taking shortcuts.Having fun—we like to joke around, eat lunch together, and even hang outside of work.Leaving work at work, maintaining a sustainable pace (no big bangs, few big pushes).What you get to do in this role: Design, implement, and maintain efficient, reusable, and reliable Python code.Architect and develop scalable, secure, and high-performance AI-driven software solutions.Integrate ML/AI capabilities into the ServiceNow platform.Help evolve the MLOps process our team follows.Lead code reviews, mentor junior engineers, and enforce best practices in coding, design, and architecture.Collaborate with cross-functional teams including product managers, ML engineers to build and deploy high-quality features.Work with cloud platforms (Azure, Databricks, GCP, AWS, etc.) to develop and deploy cloud-based solutions.Identify and resolve software defects through debugging and troubleshooting.Continuously improve existing codebases to increase maintainability, performance, and scalability.Drive the technical direction of key projects and ensure alignment with overall business goals.Ensure system security and data protection principles are embedded in solutions.Stay up to date with new tools, libraries, and trends in the Python and software development ecosystems.Qualifications5+ years of professional software development experience using Python.Strong understanding of design patterns, integration patterns/practice, data modeling principles, and best practices.Experience with microservices architecture.Expertise in building and optimizing scalable back-end systems and APIs.Strong experience with web frameworks like Flask and FastAPI.Familiarity with asynchronous programming and frameworks (e.g., AsyncIO, Celery).Solid understanding of relational and non-relational databases (e.g., PostgreSQL, MySQL, MongoDB, Snowflake, Databricks, Redis, ElasticSearch, etc.).Experience with containerization technologies (e.g., Docker, Kubernetes) and cloud infrastructure (Azure, AWS, GCP, etc.).Proficient understanding of version control tools (e.g., Git) and continuous integration/continuous deployment (CI/CD) pipelines.Excellent problem-solving skills with a focus on performance tuning, scalability, and security.Strong communication and collaboration skills.Knowledge of machine learning frameworks or data science is a big plus.Familiarity with front-end technologies (JavaScript, React, HTML, CSS) is a plus.
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