About the role
Lead architecture discussions, develop design specifications to meet performance, scalability, resiliency, and security standards. Identify dependencies and collaborate across teams to achieve common goals, ensuring security, compliance, and performance across systems. Collaborate with partner teams to ensure end-to-end testing, live-site readiness, performance, and scalability before go-live. Create clear test strategies independently, ensuring solution quality, security testing, and test automation with AI tools. Stay current with new developments, conduct learning sessions, and drive engineering improvements. Build code applying secure design principles and best practices, scaling products to customer
requirements. Apply and promote security best practices, including security code review, deployment gates, monitoring, and incident response. Develop or enhance software engineering tools, advocate for best practices, and share knowledge. Ensure compliance with security, privacy, safety, and accessibility standards and regulations. Partner with stakeholders to drive project planning, release management, and incorporate security and disaster recovery considerations. Use and improve deployment frameworks ensuring safe deployment and rollback plans. Lead experiments using feature flags and collaborate on metrics for success and guardrails. Engage with customers and stakeholders to confirm and incorporate
requirements, including security and privacy. Maintain live site services, mitigate issues, improve documentation and monitoring, and enable secure operations. Act as designated responsible individual (DRI) for on-call duties, incident management, and escalations. Integrate telemetry and logging to improve monitoring, incident investigation, and security analysis. Conduct thorough code reviews focused on quality, security, compliance, and best practices. Use debugging tools and telemetry proactively to verify assumptions and investigate production issues. Use AI tools responsibly across the software development lifecycle and improve AI practices within
