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Okta, The World's Identity Company, is seeking a Site Reliability Engineer II to join the Emerging Products Group (EPG). The mission is to build highly reliable, scalable, and secure cloud services that customers can trust, with an automation-first mindset and continuous investment in platform engineering, observability, and operational excellence.
In this role, you will serve as a key technical contributor within the EPG SRE organization, collaborating closely with software engineers and senior SREs to support and improve world-class cloud services.
**Reliability & Operations:**
Assist in operating large-scale cloud infrastructure and production services, focusing on deployment, maintenance, and day-to-day health. Participate in an SRE on-call rotation supporting highly available customer-facing systems. Contribute to incident response efforts, assist in troubleshooting, and participate in post-incident reviews to identify systemic fixes. Monitor and help maintain Service Level Indicators (SLIs) and Service Level Objectives (SLOs), raising awareness when error budgets are threatened. Implement and configure observability configurations using metrics, logging, tracing, dashboards, and alerting patterns.
**Engineering & Automation:**
Develop software, tools, and infrastructure-as-code updates using Go, Python, Terraform, and related technologies. Identify opportunities to eliminate operational toil through automation and self-service tooling. Utilize and maintain CI/CD pipelines and GitOps workflows to ensure safe, repeatable deployment of infrastructure and services. Collaborate with engineering teams to migrate and integrate existing workloads into modern platform capabilities.
**Collaboration & Execution:**
Execute assigned technical tasks and sub-projects from design through to production rollout with guidance from senior SREs. Document operational procedures, runbooks, and share technical knowledge within the team. Actively follow and adopt operational best practices, security standards, and reliability principles.
**Innovation:**
Learn and apply modern operational techniques—including AI-assisted tools—to increase daily productivity, accelerate troubleshooting, and simplify automation workflows.
**Tech Stack:**
Infrastructure/Orchestration: Kubernetes (EKS/GKE), Terraform, Helm, Git, ArgoCD, GitOps
Programming: Golang, Python
Observability: Datadog, Splunk
Data Stores: PostgreSQL, Redis, OpenSearch
**Requirements:**
- Hands-on experience operating production services in AWS and/or GCP environments
- Solid, practical understanding of Kubernetes, container runtimes, and troubleshooting application workloads
- Experience using Terraform and Helm to provision and manage cloud resources
- Proficiency in software development using Golang and/or Python
- Good understanding of cloud networking fundamentals, including DNS, load balancing, HTTPS/TLS, and basic traffic routing
- Familiarity operating and querying distributed data stores (e.g., PostgreSQL, Redis, OpenSearch)
- Hands-on experience configuring metrics, alerts, and dashboards on platforms like Datadog or Splunk
- Experience supporting customer-facing production systems
- Proven ability to logically troubleshoot complex infrastructure and application issues
- Understanding of fundamental SRE concepts, such as SLOs, SLA boundaries, and blameless post-mortem cultures
- Familiarity with modern CI/CD pipelines and automated deployment strategies
- Basic understanding of cloud security fundamentals, including Identity & Access Management (IAM) and secure secrets management
- Excellent communication and collaboration skills to work effectively with globally distributed engineering teams
- High motivation to learn from senior engineers, accept technical feedback, and continually grow technical capabilities
- Proven ability to deliver assigned tasks on time while maintaining work quality
**Preferred Qualifications:**
- Experience working with SaaS platforms
- Experience deploying microservices in containerized environments
- Familiarity with GitOps workflows and ArgoCD
- Interest in exploring AI-assisted workflows or modern developer productivity tools
