Senior Site Reliability Engineer

About the job Saviynt s AI-powered identity platform manages and governs human and non-human access to all of an organization s applications data and business processes Customers trust Saviynt to safeguard their digital assets drive operational efficiency and reduce compliance costs Built for the AI age Saviynt is today helping organizations safely accelerate their deployment and usage of AI Saviynt is recognized as the leader in identity security with solutions that protect and empower the world s leading brands Fortune 500 companies and government institutions For more information please visit Our Monitoring and Alerting team within the SaaS Operations team combines Operations Excellence with the Development Experience to deliver services at high scale high availability with resilience by using automation and Infrastructure Code We build reliability into our ecosystem by applying best practices in Resiliency Engineering Automation Observability Chaos Testing The team comes from diverse technical backgrounds and the responsibilities provide the opportunity for a variety of challenges Ideal candidates will have a background in either software engineering or systems engineering with a desire to learn the other or previous experience with building and managing Monitoring and Alerting systems We are looking for a Systems Thinking Principal Engineer who has helped teams scale through production insights operational automation building observability program developer guidance real-time metrics automation automation automation We are looking for an experienced Senior Site Reliability Engineer to join our Product SRE team Engineering team Reporting to the Senior Director Site Reliability Engineering You ll be responsible for Creating and sustaining infrastructure and tools to ensure reliable services and enhance customer experience Collaborating with teams to enhance observability automation deployment and system reliability Developing deploying and managing scalable dependable infrastructure solutions to power Zscaler s global cloud services Collaborating with product operations and security teams to smoothly implement features tools and updates across the platform Developing and deploying AI-powered tools to boost operational efficiency and advance engineering excellence What We re Looking For Minimum Qualifications Drive comprehensive observability for microservices and Kubernetes clusters using tools like OpenTelemetry Build and manage automation tools to streamline deployment patching scaling and infrastructure management Build scalable portals for SRE dashboards SLI SLO SLA tracking error budgets and executive metrics to enable data-driven decision-making Proficient in programming and scripting with Java Python Go Shell or similar languages Skilled in OpenStack cloud Linux Kafka RabbitMQ Prometheus Terraform Kubernetes Ansible MLOps Generative AI PostgreSQL and analytics databases Familiarity with current AWS solutions Azure experience also considered Containerized workloads Prefer Helm Related AKS EKS other K8s distributions Docker JFrog Logging and monitoring tools Prefer Prometheus Grafana Dataddon AWS Cloudwatch Related Azure Monitor Log Analytics Fluentd Network Security e g AWZ Policy Azure Policy VPN Active Directory RBAC ACLs NSG rules private endpoints Proven experience in implementing advanced observability practices and techniques at scale Hands on experience with one or more observability tools Prometheus Grafana ELK OpenSearch OpenTelemetry Datadog etc What Will Make You Stand Out Preferred Qualifications Bachelor s in Computer Science or related field or equivalent experience with 4 years in Cloud-SRE DevOps or Systems Engineering Strong problem-solving capabilities excellent collaboration and communication skills and a proactive approach to teamwork Knowledge of testing tools and frameworks