NOTE: This position requires passing a ServiceNow background screening, USFedPASS (US Federal Personnel Authorization Screening Standards). This includes a credit check, criminal/misdemeanor check and taking a drug test. Any employment is contingent upon passing the screening. Due to Federal requirements, only US citizens, US naturalized citizens or US Permanent Residents, holding a green card, will be considered. 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:  Design and develop scalable, maintainable, and reusable software components with a strong emphasis on performance and reliability.Collaborate with product managers to translate requirements into well-architected solutions, owning features from design through deliveryBuild intuitive and extensible user experiences using modern UI frameworks, ensuring flexibility for customer-specific needs.Contribute to the design and implementation of new products and features while enhancing existing product capabilities.Integrate automated testing into development workflows to ensure consistent quality across releases.Participate in design and code reviews ensuring best practices in performance, maintainability, and testability.Develop comprehensive test strategies covering functional, regression, integration and performance aspectsFoster a culture of continuous learning and improvement by sharing best practices in engineering and qualityPromote a culture of engineering craftsmanship, knowledge-sharing, and thoughtful quality practices across the team.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. 
