O

Okta

Secures digital identities for people and software

Senior Site Reliability Engineer - Emerging Products Group

Site Reliability EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Strong experience operating large-scale production services in AWS and/or GCP.
  • Deep expertise with Linux and Kubernetes in production environments.
  • Experience troubleshooting Kubernetes networking, storage, scheduling, scaling, and workload lifecycle issues.
  • Extensive experience with Infrastructure as Code technologies such as Terraform and Helm.
  • Strong software engineering skills in Golang and/or Python.
  • Experience building automation and internal engineering platforms.
  • Experience operating and troubleshooting distributed data platforms such as PostgreSQL, Redis, OpenSearch, MySQL, Cassandra, or similar technologies.
  • Strong understanding of cloud networking fundamentals including DNS, load balancing, ingress, TLS, service networking, and traffic management.
  • Experience with observability platforms, monitoring strategies, and production telemetry.
  • Experience with or strong interest in AI-assisted engineering and operational automation.
  • Strong expertise operating customer-facing production systems subject to SLA.
  • Experience leading incident response and driving operational improvements.
  • Deep understanding of reliability engineering concepts including SLIs, SLOs, error budgets, and capacity planning.
  • Strong understanding of CI/CD pipelines, deployment strategies, and automation-first operational practices.
  • Proven ability to balance reliability, scalability, security, and engineering velocity.
  • Must be a US Person (US Citizen or Green Card Holder) to meet FedRAMP compliance and security clearance standards.
  • Understanding of cloud security fundamentals, IAM, secrets management, and secure infrastructure design.
  • Demonstrated success contributing to complex engineering initiatives.
  • Experience working effectively within globally distributed engineering organizations spanning multiple timezones and cultures.
  • Experience collaborating with engineers and contributing to technical capabilities within an organization.
  • Ability to influence technical direction through expertise, partnership, and execution.

Responsibilities

  • Design, build, and operate large-scale cloud infrastructure and production services.
  • Participate in a global on-call rotation supporting highly available customer-facing systems.
  • Participate in incident response efforts and drive post-incident reviews focused on systemic improvements.
  • Define, measure, and improve Service Level Indicators (SLIs), Service Level Objectives (SLOs), and error budgets.
  • Partner with engineering teams to improve service availability, scalability, performance, and resilience.
  • Ensure all infrastructure and operational practices adhere to strict FedRAMP compliance and security mandates, maintaining continuous audit readiness.
  • Continuously improve observability through metrics, logging, tracing, dashboards, and alerting.
  • Develop software, automation, and infrastructure using Go, Python, Terraform, and related technologies.
  • Eliminate operational toil through automation, tooling, and platform engineering.
  • Improve deployment safety and operational workflows through CI/CD and GitOps practices.
  • Collaborate on modernizing existing workloads and aligning them with evolving platform capabilities.
  • Build self-service platforms, operational guardrails, and automation that improve developer velocity while maintaining reliability and security.
  • Support complex reliability initiatives spanning multiple engineering teams.
  • Guide engineers in adopting operational best practices and reliability engineering principles.
  • Collaborate, mentor, and assist junior and mid-level engineers on the team, providing code reviews, operational guidance, and promoting best practices.
  • Participate in architecture design and operational decisions through data-driven recommendations and engineering expertise.
  • Drive projects from conception through production rollout and long-term operational ownership.
  • Explore and apply AI-assisted engineering techniques to improve operational efficiency, incident response, troubleshooting, and automation.
  • Identify opportunities to leverage emerging technologies to reduce toil and improve engineering productivity.

Desired Qualifications

  • Experience implementing operational controls, compliance standards (e.g., FedRAMP, SOC2, HIPAA), and best practices in highly regulated or security-sensitive government cloud environments is highly preferred.
  • Experience operating SaaS platforms serving large-scale customer workloads.
  • Experience working within Kubernetes-based microservices environments.
  • Experience supporting globally distributed production environments.
  • Experience with GitOps and ArgoCD.
  • Experience implementing AI-assisted operational tooling or automation workflows.

About the Company

Okta

Secures digital identities for people and software

Okta builds cloud identity software that controls how employees, customers, and automated systems access applications and company resources. Its single sign-on product lets people use one login across their work tools, while passwordless sign-in and additional identity checks protect accounts from stolen credentials. Administrators use its directory, access policies, and lifecycle tools to grant permissions when someone joins an organization and remove them when they leave. Organizations pay subscriptions based on the products they use and the identities they manage, with support included. Okta was founded in 2009 and is headquartered in San Francisco, California, United States.

Company size
5,001-10,000
Company stage
IPO
Headquarters
San Francisco, CA
Founded
2009

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