• Lead end-to-end instrumentation of metrics (infrastructure and application), structured logs, and distributed tracing, ensuring full visibility across the ecosystem. • Implement, evolve, and manage Application Performance Monitoring (APM) tools to identify bottlenecks and optimize the user experience. • Define, implement, and monitor SLIs, SLOs, and Error Budgets to support the balance between innovation and stability. • Plan and execute Chaos Engineering experiments to validate failure hypotheses and strengthen the architecture. • Define predictive alerting policies to reduce alert fatigue and accelerate incident response. • Work cross-functionally to support Data Engineering pipelines and microservices architectures (REST APIs) on AWS.

• Partner closely with product engineering squads (embedded model) • Own production reliability for high-SLA and complex customer environments • Design and implement automation to scale our reliability practices • Ensuring our customers meet our SLO targets • Define and evolve per-tenant SLOs and reliability models • Proactively reduce SLO burn to prevent repeat incidents • Serving as a primary escalation point and on-call for relevant incidents • Lead customer-impacting incident response and post-incident reviews • Contribute to design docs and code reviews • Influence feature design to ensure production scalability and operability • Build automation to eliminate toil where needed • Improve alert quality and reduce noisy escalations

• Design, implement and evolve CI/CD pipelines • Provision and maintain cloud infrastructure using GCP, AWS and Azure • Automate infrastructure using Terraform and Ansible • Operate, administer and scale Kubernetes (GKE) and Docker environments • Define, implement and track reliability metrics and practices such as SLIs, SLOs, SLAs, MTTR and MTTD • Build observability, monitoring, alerting and APM • Work with monitoring and observability tools such as Dynatrace, Datadog, Grafana, Prometheus and the ELK Stack (Elasticsearch and Kibana) • Monitor performance and availability indicators including Latency, Traffic, Errors and Saturation • Collaborate closely with squads, promoting platform engineering best practices, automation and reliability

• Partner closely with product engineering squads (embedded model) • Own production reliability for high-SLA and complex customer environments • Design and implement automation to scale our reliability practices • Ensuring our customers meet our SLO targets • Define and evolve per-tenant SLOs and reliability models • Proactively reduce SLO burn to prevent repeat incidents • Serving as a primary escalation point and on-call for relevant incidents • Lead customer-impacting incident response and post-incident reviews • Contribute to design docs and code reviews • Influence feature design to ensure production scalability and operability • Build automation to eliminate toil where needed • Improve alert quality and reduce noisy escalations