Cloud Data Systems Engineer
12 hours ago
You will be solving meaningful problems in data systems, deployment, monitoring, and operationalization for security products and services. This role involves designing, building, and operating large scale cloud-based and on-prem data systems ensuring scalability, reliability, and security.
About the Company
F5 strives to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are passionate about cybersecurity, from protecting consumers from fraud to enabling companies to focus on innovation.
Salary Information
The annual U.S. base pay range for this position is $199,952.00 - $299,928.00. F5 maintains broad salary ranges for its roles to account for variations in knowledge, skills, experience, geographic locations, and market conditions.
Responsibilities
- Design, build, and operate large scale cloud-based and on-prem data systems ensuring scalability, reliability, and security.
- Provide cloud architecture mentorship and implement cloud orchestration solutions to support product capabilities.
- Continuously improve processes and reduce toil using automation.
- Work closely with other engineering teams, data scientists, product, marketing, operation, security, and customer support teams for end-to-end solutions.
- Be a part of on-call rotation to respond to critical incidents as needed.
Requirements
- 8+ years of experience in technology with an expertise in DevOps or SRE (Site Reliability Engineering), particularly in high-security environments.
- Experienced in data infrastructure engineering or infrastructure engineering with strong interest in data.
- Interest or experience in analyzing and working with large datasets, and proficient at 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.
- Rich experience in system administration of Linux like OS systems.
- Ability to quickly learn new and existing technologies.
- Self-motivated, dedicated, and solution-oriented individual.
- Bachelor's, master's, or PhD in computer science or related engineering field OR equivalent professional experience.
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