DevOps Engineer

• Support Gen Digital products and services, including Gen Insurance and Engine by Gen, delivering trusted digital and financial experiences at scale
• Define and lead the platform's reliability, scalability, and operational excellence strategy
• Partner with application, platform, security, and infrastructure teams to build resilient systems and modernize cloud-native architecture
• Shape SRE practices including service reliability frameworks, production readiness, observability, incident management, automation, and capacity planning
• Collaborate with SRE teams on global standards, shared practices, and strategic platform direction
• Define long-term reliability strategy and operational standards across services and teams
• Lead architecture decisions for highly available, fault-tolerant distributed systems on AWS, GCP, Kubernetes, and GKE
• Guide platform architecture, deployment patterns, and infrastructure automation using Terraform and infrastructure-as-code tooling
• Design and implement observability capabilities covering metrics, logging, tracing, alerting, and dashboards
• Lead major incident response and improve escalation, response, and post-incident review processes
• Review RFCs, set engineering guardrails, and provide technical leadership on high-impact initiatives
• Champion resilience engineering, disaster recovery, failover design, capacity forecasting, and business continuity planning
• Partner with security and compliance stakeholders on infrastructure security and operational controls for PCI and SOC 2 environments
• Improve CI/CD systems and software delivery workflows
• Reduce operational toil through automation, self-service platform capabilities, and better engineering abstractions
• Mentor senior engineers and technical leads
• Align with global SRE counterparts to standardize practices and share learnings
• Advise engineering and product leadership on reliability tradeoffs, infrastructure investments, and operational risk

Principal Site Reliability Engineer

• Apply software engineering and systems engineering practices to improve reliability, resilience, scalability, and operational health of production services
• Partner with Software Engineering and technology teams to engineer reliability, observability, recoverability, performance, and operational readiness throughout the system lifecycle
• Establish technical direction and apply evidence-driven engineering, technical rigor, automation, sound judgment, and broad systems expertise across organizational boundaries
• Improve how services are built, tested, deployed, observed, operated, and recovered using software engineering, automation, and DevOps practices
• Use data, evidence, experimentation, and rigorous engineering analysis to identify reliability risks, test assumptions, and guide technical decisions
• Define, implement, or improve SLIs, SLOs, error budgets, and service-health measures
• Improve observability through metrics, logging, tracing, monitoring, alerting, dashboards, and service-health instrumentation
• Drive continuous improvement across CI/CD, observability, deployment practices, Infrastructure as Code, automation, testing, incident response, capacity management, resilience, and operational readiness
• Identify recurring or systemic production issues and translate operational experience into improvements in code, architecture, automation, tooling, and engineering practices
• Participate in or lead incident response, troubleshooting, service restoration, and blameless post-incident learning
• Provide enterprise-level technical leadership for critical production incidents and improve incident response, escalation, service restoration, and sustainable on-call operations
• Reduce operational toil and manual intervention through software, automation, reusable patterns, and improved engineering practices
• Raise the effectiveness and technical capability of engineers and teams across the organization
• Establish enterprise technical direction, develop senior technical leaders, and operate autonomously across consequential reliability challenges