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Senior Software Engineer - UI
Location
Nevada
Posted
23 days ago
Salary
Not specified
Job Description
Job Requirements
- The primary working hours for this position are aligned to Pacific Standard Time (PST). Candidates must be willing and able to flex their schedule to support collaboration across multiple time zones on an as-needed basis.
- 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 delivery
- Build 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 aspects
- Foster a culture of continuous learning and improvement by sharing best practices in engineering and quality
- Promote 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.
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