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 www.saviynt.com.

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