Okta·Bengaluru, India·3 дн назад
Senior Site Reliability Engineer
🏢 ОфисSeniorПолная занятость
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Наша компания
Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.
О роли
This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Get to know Okta
Чем предстоит заниматься
Design, build, and operate large-scale cloud infrastructure and production services
Participate in an on-call rotation supporting highly available customer-facing systems
Lead 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
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
Supporting Your Well-Being
Driving Social Impact
Developing Talent and Fostering Connection + Community
We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one
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Наши требования
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
#P22336
Contribute to and drive reliability initiatives within the product group
Guide engineers in adopting operational best practices and reliability engineering principles
Mentor engineers through technical collaboration, design reviews, incident analysis, and knowledge sharing
Support architecture and operational decisions through data-driven recommendations and engineering expertise
Execute projects from conception through production rollout and long-term operational ownership
Strong experience operating large-scale production services in AWS and/or GCP
Deep expertise with 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
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
Understanding of cloud security fundamentals, IAM, secrets management, and secure infrastructure design
Experience implementing operational controls and best practices in regulated or security-sensitive environments is a plus
Demonstrated experience contributing to complex engineering initiatives
Strong collaboration and communication skills
Experience working effectively within globally distributed engineering organizations spanning multiple timezones and cultures
Experience mentoring engineers and elevating technical capabilities within an organization
Ability to collaborate on technical direction through expertise, partnership, and execution
Дополнительно
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
Infrastructure/Orchestration: Kubernetes (EKS/GKE), Terraform, Helm, Git, ArgoCD, GitOps
Programming: Golang, Python
Observability: Datadog, Splunk
Data Stores: PostgreSQL, Redis, OpenSearch