Summary
Date Posted: Friday, March 11, 2022 , Base Salary: Not Disclosed

JOB DETAILS:
Sr. Site Reliability Engineer
About the job
Imperva’s Infrastructure and Cloud team is looking for a highly technical Sr. Site Reliability Engineer to drive innovation, scale, and create operational excellence for the Imperva globally distributed network. As an SRE in the ICO organization, you approach solving, supporting, and optimizing the infrastructure programmatically. You will work to improve the overall availability, reliability, performance, and security of the infrastructure for Imperva’s customers.

Responsibilities
• Establish metrics for data-driven decisions to help increase availability, reliability, and velocity
• Apply SRE core tenets of measurement (SLI/SLO/SLA), eliminate toil, and reliability modeling
• Build and maintain, and evolve SLO and SLI network/system/application baselines
• Provide go/no go preplanning, verification/validation, and review of existing and new product/services
• Proactively analyze data and test the integrity of network/systems to ensure production applications and services are operating optimally
• Work with internal and external customers as needed to troubleshoot and resolve business affecting issues
• Escalations, incident response, RCA, and blameless postmortem
• Participate in 24x7 on-call rotation

Qualifications
• At least 7 years of professional experience within a cloud/web/CDN scale infrastructure
• Experience with Python and Go. C/C++/Rust a plus
• Expert knowledge of Linux systems, network programming and protocols TCP, UDP, DNS, TLS/SSL, HTTP
• Experience with BGP and Anycast routing is a plus
• Experience with DevOps principles and concepts such as Infrastructure as Code (Ansible/Saltstack), CI/CD (Gitlab, Jenkins, Git), monitoring and visualization (Prometheus, Grafana)
• Experience with big data technologies such as NoSQL/RDBMS, Redis, ElasticSearch, Kafka
• Experience with containers and container management (Docker, Kubernetes) is a plus
• Experience analyzing and building data telemetry, modeling, pipelines, UI visualization
• Experience in developing software, troubleshooting, and monitoring large scale distributed systems
• Implement software engineering best practices/standards and software development life cycle
• Working knowledge and experience of Agile software development methodologies
• Outstanding collaboration and communication, and documentation skills with a proven ability to work cross-functionally to establish and meet OKRs
• BS/MS in computer science, engineering, or a related technical discipline or equivalent experience

Work Hours: 8

Experience in Months: 84

Level of Education: Bachelor Degree

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