• Collaborate with Technology Infrastructure teams to build and operate reusable, cloud-native platforms that abstract complexity and accelerate delivery while incorporating reliability from design through operations. • Work with business units and technical teams to improve application availability, observability, and reliability as our business applications are migrated to the Private Cloud. • Enhance platform reliability through automatic problem detection, self-healing systems, and well-architected notification and escalation protocols. • Use SLOs, SLIs, and KPIs to guide prioritization, measure impact, and drive continuous improvement. • Eliminate toil using intelligent automation and agentic workflows. • Conduct blameless retrospectives and share learnings across the organization. • Foster a culture of ownership, positive thinking, and continuous learning while remaining grounded in practicality, experimentation, and engineering excellence. • Integrate DevSecOps, zero-trust principles, and policy-as-code into every pipeline. • Produce and promote Architecture Decision Records (ADRs) and Cloud Well-Architected Frameworks that our business units can adopt to improve our technology standardization. • Maintain 24x5 active coverage with seamless regional handoffs and weekend escalation protocols.

Role Description As a Forward Deployed Engineer (FDEs) you will operate at the intersection of product engineering and customer impact. - Embedded within some of Okta’s most strategic customers, working side-by-side with their engineering teams. - Write production code, shape technical architecture, and influence how Okta's products are used at scale. - Act as a key liaison to understand customer needs and what engineering teams can build at scale. This role is ideal for engineers who want to: - Lead the development of Lab/Demo assets and AI prototyping. - Create "The Engine" for sales velocity by aligning pricing strategies and technical execution with field reality. - Develop reference architectures, whitepapers, and standardized POC guides. - Create centralized hubs and reporting dashboards to scale AI expertise globally. - Provide strategic guidance to SEs, TAMs, and Professional Services. - Act as a feedback loop, funneling field insights back to Product. - Represent Okta's AI strategy at conferences and analyst briefings. - Partner with the CPO, CISO, and Engineering to influence roadmaps with "AI-first" innovations. - Serve as a trusted advisor to CISOs and CIOs. - Lead high-impact POCs to secure "The Win." - Identify technical upsell opportunities through successful usage. - Partner with Post-Sales teams to develop runbooks and implementation guides. Qualifications - 10+ years in identity, cybersecurity, AI, or Data Science. - Experience driving technical customer success beyond the initial sale, including implementation, health monitoring, and expansion. - Deep understanding of AI/ML technologies (anomaly detection, LLMs) and Agentic Frameworks (A2A, MCP, and relevant protocols). - Strong credibility with enterprise CISOs and boards, with a proven track record of shaping cybersecurity strategy. - Ability to create repeatable playbooks and "backbone" assets that allow a sales organization to scale. - Prior experience as a CTO, Field CTO, or Distinguished Architect in a cybersecurity or SaaS company. - Advanced degree in a technical or business-related field. Requirements - Strong operational mindset. - Proven leadership background. Benefits - Health, dental, and vision insurance. - 401(k) plan. - Flexible spending account. - Paid leave, including PTO and parental leave.

• Operate production day-to-day - oncall, incident response, postmortems, and the follow-ups that actually close the loop. • Own reliability practice - define and refine SLIs/SLOs and error budgets, and help product teams live within them. • Strengthen our observability across metrics, logs, traces, and alerting. • Ship infrastructure through code in a GitOps workflow - cloud resources and Kubernetes workloads alike. • Look after PostgreSQL: performance tuning, schema and migration review, online migrations on large tables, HA/DR, and CDC pipelines. • Mentor engineers on reliability and database fundamentals through code review, design review, and pairing.

Role Description GoDaddy is seeking a highly skilled and motivated Site Reliability Engineer (SRE) to join our dynamic team. This role will focus on automating and maintaining our storage infrastructure with a focus on Ceph, ensuring the reliability, scalability, and performance of our systems. - Automate and maintain day-to-day operations of storage systems to support application demands - Develop and maintain tools and automation scripts to streamline storage operations and improve efficiency - Monitor system performance, identify issues, and implement solutions to ensure high availability and reliability - Participate in agile concepts such as daily stand-up meetings, task tracking boards, design and code reviews, automated testing, continuous integration, and deployment - Continuously improve system reliability, performance, and capacity through proactive monitoring, automation, and optimization Qualifications - 2+ years of professional experience with Ceph, working in a production environment - 2+ years of experience in site reliability engineering or a similar role - 2+ years of professional experience with Ceph, including deployment, configuration, and management of Ceph clusters and systems - Experience working on Linux/Unix systems, with a focus on automation and operating at scale - Proficiency in Python or Bash - Experience with Ansible, Terraform, or SaltStack - Experience with Nagios-based monitoring tools, such as Icinga2 - Experience with observability tooling, such as Prometheus, Grafana, Mimir, and Loki - Solid understanding of core networking concepts and protocols, particularly in relation to Linux/Unix systems Requirements - Experience with containerization and orchestration tools (e.g., Docker, Kubernetes) - Exposure to and experience working with compute platforms (e.g., OpenStack, AWS) - Familiarity with ability to contribute to CI/CD pipelines and automation workflows Benefits - Competitive pay - Generous time off - Parental and wellness leave - Healthcare - Retirement savings program - Comprehensive benefits package, including: - Medical, dental, and vision insurance - 401(k)-retirement plan - Paid sick time - Paid flexible time off - Paid parental leave - Life insurance - Short- and long-term disability - AD&D insurance - Mental health or EAP programs - Remote or hybrid work options - Paid holidays - Paid Wellness days - Tuition assistance - Adoption, surrogacy, and fertility benefits - Dependent daycare and backup care benefits - Employee stock purchase plan - Financial education and advice Compensation - Bay Area (Santa Clara, San Francisco) and Los Angeles: $128,000 — $192,000 USD - Austin, D.C. Metro, CA (non-Bay Area), HI, IL, MA, NH, OR, VA, WA: $110,500 — $165,500 USD - New York City Metro, Kirkland/Seattle: $117,200 — $175,800 USD - All other US locations not previously listed: $98,500 — $147,500 USD