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Principal Site Reliability Engineer
2 months ago
At F5, we empower organizations worldwide to create, secure, and manage applications that shape our digital world. Our passion lies in cybersecurity, from safeguarding consumers against fraud to enabling companies to focus on innovation. We prioritize a diverse community where every individual can thrive.
Position Summary:
As a Principal Site Reliability Engineer (SRE) specializing in Data Infrastructure, you'll tackle complex challenges across the entire data lifecycle – from design and deployment to monitoring and operationalization for our security products and services. Your expertise will ensure high service levels, cost-efficiency, seamless operation, continuous integration, and continuous delivery/deployment across multiple global environments.
Responsibilities:
- Design, build, and operate large-scale cloud-based and on-premises data systems, prioritizing scalability, reliability, and security.
- Provide mentorship in cloud architecture and implement cloud orchestration solutions to support product capabilities.
- Continuously refine processes and reduce operational burden through automation.
- Collaborate closely with engineering teams, data scientists, product managers, marketing, operations, security, and customer support to deliver end-to-end solutions.
- Participate in an on-call rotation to address critical incidents as needed.
Qualifications:
- 8+ years of experience in technology with a proven track record in DevOps or SRE, particularly within high-security environments.
- Experience in data infrastructure engineering or infrastructure engineering with a strong interest in data.
- Interest or experience in analyzing and working with large datasets, coupled with proficiency in data visualization.
- Proficiency in at least one programming language: Python, Bash, Go.
- Experience with databases, particularly distributed databases such as MongoDB, Cockroach DB, Vector DB. Familiarity with SQL.
- Experience with large data pipelines and the tools that enable them – particularly Elastic search/OpenSearch, Kafka, Google Pub/Sub, Google BigQuery, Google Dataflow, and Data Lake/Data Warehouse systems.
- Experience with multi-petabyte data stores.
- Experience with public cloud platforms: GCP, AWS, Azure.
- Skilled with Cloud and CI/CD framework/tools, such as Kubernetes, GIT, Docker, etc.
- Experience with infrastructure-as-code software tools: Terraform, Ansible, Puppet.
- Experience with lifecycle management of containerized, bare metal, and virtualized infrastructure environments.
- Extensive knowledge of TCP/IP, HTTP, routing, switching, firewall, and load balancer.
- Proficiency in Linux operating systems.