Role Description We are seeking a highly skilled Senior Site Reliability Engineer (SRE) to join our team and drive reliability, scalability, and efficiency across our production systems. The ideal candidate will have deep expertise in cloud infrastructure, Kubernetes administration, observability, and incident management, with a proven track record of building and maintaining highly available and resilient platforms. As a senior member of the SRE team, you will not only operate complex distributed systems but also influence architecture, tooling, and best practices to ensure operational excellence. - Administer and maintain container orchestration platforms and containerized workloads. - Monitor and troubleshoot production systems, participating in on-call rotations to ensure reliability. - Drive observability improvements by enhancing monitoring, logging, and alerting capabilities across systems and data platforms. - Administer and optimize cloud-based environments across multiple providers. - Manage and support distributed data platforms and real-time processing systems. - Develop and maintain continuous integration and delivery pipelines for efficient and reliable deployments. - Own and implement Infrastructure as Code (IaC) practices to ensure consistency and scalability. - Automate and orchestrate infrastructure using programming and scripting languages. - Perform system administration and networking tasks to support internal and external environments. - Collaborate effectively with engineers and stakeholders across different time zones. Qualifications - 5+ years of experience in Site Reliability Engineering, DevOps, or Platform Engineering roles. - Proven success leading large-scale production systems in cloud environments (AWS, GCP, Azure, or OCI). - Demonstrated leadership in driving incident response, on-call best practices, and reliability-focused culture. - Strong experience with production on-call operations and incident management. - Advanced proficiency in Kubernetes administration and troubleshooting. - Hands-on experience with observability tools: Prometheus, Grafana, Loki, and Alertmanager. - Knowledge in chat-based operations interfaces and/or auto-remediation controllers using AI agentic framework. - Understanding of AI agents for auto-triaging alerts, correlate signals and suggest/root-cause hypotheses. - Expertise in operating data platforms (Elasticsearch, MongoDB, Spark, Kafka, Redis). - Proficiency with public cloud services (AWS, Azure, GCP, or OCI). - Strong programming and automation skills in Python and Bash. - Deep understanding of Infrastructure as Code (Terraform, Helm). - Experience with CI/CD pipelines (GitHub Actions, Bitbucket, ArgoCD). - Strong technical background in distributed systems, databases, networking, and Linux administration. - Excellent problem-solving, communication, and leadership abilities. - Bachelor's degree in Computer Science, Engineering, or a related technical field. - Certifications in AWS, GCP, Observability, Linux or Kubernetes are a plus.

Role Description We are seeking a highly skilled Senior Site Reliability Engineer (SRE) to join our team and drive reliability, scalability, and efficiency across our production systems. The ideal candidate will have deep expertise in cloud infrastructure, Kubernetes administration, observability, and incident management, with a proven track record of building and maintaining highly available and resilient platforms. As a senior member of the SRE team, you will not only operate complex distributed systems but also influence architecture, tooling, and best practices to ensure operational excellence. - Administer and maintain container orchestration platforms and containerized workloads. - Monitor and troubleshoot production systems, participating in on-call rotations to ensure reliability. - Drive observability improvements by enhancing monitoring, logging, and alerting capabilities across systems and data platforms. - Administer and optimize cloud-based environments across multiple providers. - Manage and support distributed data platforms and real-time processing systems. - Develop and maintain continuous integration and delivery pipelines for efficient and reliable deployments. - Own and implement Infrastructure as Code (IaC) practices to ensure consistency and scalability. - Automate and orchestrate infrastructure using programming and scripting languages. - Perform system administration and networking tasks to support internal and external environments. - Collaborate effectively with engineers and stakeholders across different time zones. Qualifications - 5+ years of experience in Site Reliability Engineering, DevOps, or Platform Engineering roles. - Proven success leading large-scale production systems in cloud environments (AWS, GCP, Azure, or OCI). - Demonstrated leadership in driving incident response, on-call best practices, and reliability-focused culture. - Strong experience with production on-call operations and incident management. - Advanced proficiency in Kubernetes administration and troubleshooting. - Hands-on experience with observability tools: Prometheus, Grafana, Loki, and Alertmanager. - Knowledge in chat-based operations interfaces and/or auto-remediation controllers using AI agentic framework. - Understanding of AI agents for Auto-triaging alerts, correlate signals and suggest/root-cause hypotheses. - Expertise in operating data platforms (Elasticsearch, MongoDB, Spark, Kafka, Redis). - Proficiency with public cloud services (AWS, Azure, GCP, or OCI). - Strong programming and automation skills in Python and Bash. - Deep understanding of Infrastructure as Code (Terraform, Helm). - Experience with CI/CD pipelines (GitHub Actions, Bitbucket, ArgoCD). - Strong technical background in distributed systems, databases, networking, and Linux administration. - Excellent problem-solving, communication, and leadership abilities. - Bachelor's degree in Computer Science, Engineering, or a related technical field. - Certifications in AWS, GCP, Observability, Linux or Kubernetes are a plus.

• Manage and improve CDN configuration including caching rules, redirects, and traffic routing across a globally distributed edge • Triage CDN related production issues through log analysis and performance investigations for high traffic events • Review merge requests from product and platform engineering teams and advise on cache behavior and edge performance • Build and maintain CI CD pipelines in GitLab CI for safely delivering CDN configuration changes • Partner with development teams across US and EU time zones to onboard new services behind the CDN • Maintain documentation, runbooks, and operational procedures while contributing to monitoring and alerting on edge traffic

• Platform & Infrastructure: Design, build, and maintain cloud infrastructure using infrastructure-as-code (Terraform) on GCP • Manage and evolve our Kubernetes platform, including cluster operations, workload configuration, and service mesh (Istio) • Develop and improve internal tooling that abstracts cloud complexity and improves the developer experience • Collaborate with product engineering teams to understand service deployment needs and deliver infrastructure solutions • Reliability & Observability: Monitor platform health using Datadog; proactively identify and resolve performance, availability, and security issues • Participate in on-call rotation and incident response; drive blameless post-mortems and eliminate recurring issues at their root cause • Define and track service-level indicators and objectives (SLIs/SLOs) for critical platform components • Implement and refine alerting, dashboards, and runbooks that reduce mean time to resolution • Security & Compliance: Embed security best practices into infrastructure workflows (DevSecOps) — not as an afterthought, but as a design principle • Help maintain cloud security posture, IAM hygiene, and policy guardrails across our cloud environment • Stay current with cloud security developments and proactively surface risks to the team • Execute and maintain our automated disaster recovery processes • Collaboration & Growth: Work closely with product engineering teams to understand their needs and remove infrastructure friction • Document systems, processes, and architectural decisions clearly so knowledge is shared, not siloed • Recommend improvements to tooling, architecture, and processes — and help drive them to completion • Keep current with the evolving cloud-native ecosystem and bring relevant knowledge back to the team