Staff Software Engineer Security Center
ServiceNow
San Diego, CAPosted 6 days ago
Job Summary
We are seeking a highly skilled Staff Software Engineer to join our Security Center team. As a key member of our team, you will be responsible for building high-quality, clean, scalable, and reusable code by enforcing best practices around software engineering architecture and processes.
- Key Responsibilities:
- Build high-quality, clean, scalable, and reusable code by enforcing best practices around software engineering architecture and processes.
- Work with product owners and designers to understand requirements and refine scope of work.
- Own your code from design, implementation, test automation, and delivery.
- Collaborate with fellow developers, and on other teams, and quality engineering peers.
- Contribute to both new products and features while also enhancing the existing product suite.
- Shape intuitive user experiences and customer journeys across our product suite.
- Troubleshoot customer environments and debug code.
- Explore and integrate ServiceNow AI capabilities into our products.
- Mentor peers and foster a culture of knowledge-sharing and engineering excellence.
Requirements:
- A proactive mindset and strong initiative.
- A collaborative spirit and curiosity to ask questions and learn continuously.
- Experience designing, building, and shipping software to production environments.
- Proficiency in debugging tools and resolving product issues.
- A track record of supporting customers with critical production issues.
- Experience mentoring engineers and guiding technical decisions.
- The ability to balance individual preferences with team and product priorities.
- A reflective approach to work, with interest in integrating AI into workflows and decision-making.
Qualifications:
- 8+ years of software engineering experience; or 6+ years with a Master's degree.
- Strong proficiency in Java or similar object-oriented languages.
- Experience developing applications in JavaScript.
- Solid understanding of data structures, algorithms, design patterns, and performance optimization.
- Strong analytical and design skills.
- Experience mentoring engineers and supporting production systems.
- Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving.
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