Senior Cloud Data Systems Engineer
4 weeks ago
At F5, we strive 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.
Everything we do centers around people. That means we obsess over how to make the lives of our customers, and their customers, better. And it means we prioritize a diverse F5 community where each individual can thrive.
Job Summary:
You will be responsible for designing, building, and operating large-scale cloud-based data systems, ensuring scalability, reliability, and security. This will involve providing cloud architecture mentorship and implementing cloud orchestration solutions to support product capabilities.
Key Responsibilities:
- Design and build large-scale cloud-based 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.
Required:
- US Citizen on US Soil.
Desirable Qualification:
- FedRAMP compliance experience.
- SOC2.
- CIS compliance.
The Job Description is intended to be a general representation of the responsibilities and requirements of the job. However, the description may not be all-inclusive, and responsibilities and requirements are subject to change.
F5 maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, geographic locations, and market conditions, as well as to reflect F5's differing products, industries, and lines of business. The pay range referenced is as of the time of the job posting and is subject to change.
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