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Senior Site Reliability Engineer
IntelliPro Group Inc.San Diego, United Statesfull_timeVerifiedPosted 8 Feb 2025
💰 $180,000/yr($120,000/yr – $180,000/yr)
About the role
Job Title: Senior Site Reliability Engineer
Position Type: Full-time
Location: San Diego, CA
Salary Range: $120K - $180K annually. Open to Negotiate. Bonus & RSU offered.
JD ID#: 141410
This role from a top e-commerce company.
We are looking for a Senior Site Reliability Engineer with experience working in large-scale mission- critical environments with zero downtime. The SRE team is a mix of DBA/SRE/DBRE oriented folks whose overarching goal is to provide highly available data services at scale. They strive to build an extremely reliable, performant, and secure database infrastructure through the skillful use of automation. This team is responsible for providing new architectures and scalability solutions to ever- growing business and data processing needs.
Responsibility:
Requirements:1. Bachelor’s degree or a foreign equivalent in Computer Science, Information Systems or a related field, plus 3 years of experience in the job offered or as a Computer Systems Engineer, Software Engineer or related job titles.
2. Applicable experience must include at least 3 years of experience with:
(1) supporting mission- critical, real-time, high-traffic applications in cloud environments;
(2) Knowledge of Cloud systems, continuous integration/build systems, Java, SQL and NoSQL databases; (3) observability tools such as Grafana, Prometheus, Zabbix;
(4) scripting/programming languages (Python or GoLang);
(5) one or more OSS technologies (Elasticsearch, Kafka or Redis);
(6) container technology like Docker, Kubernetes, Mesos.
Position Type: Full-time
Location: San Diego, CA
Salary Range: $120K - $180K annually. Open to Negotiate. Bonus & RSU offered.
JD ID#: 141410
This role from a top e-commerce company.
We are looking for a Senior Site Reliability Engineer with experience working in large-scale mission- critical environments with zero downtime. The SRE team is a mix of DBA/SRE/DBRE oriented folks whose overarching goal is to provide highly available data services at scale. They strive to build an extremely reliable, performant, and secure database infrastructure through the skillful use of automation. This team is responsible for providing new architectures and scalability solutions to ever- growing business and data processing needs.
Responsibility:
- Work closely with cross-functional teams to ensure the company has the right set of tools to generate, collect, analyze, visualize and alert on operational data.
- Participate in an on-call rotation to ensure 24/7/365 availability of company's production system. Own & operate critical open-source services like Elasticsearch,
- Kafka, RabbitMQ, Redis. Build tools and design processes that help improve observability and system resiliency of the platform.
- Triage Site Availability Incidents and proactively work towards reducing MTTR for customer impacting incidents.
- Partner with Service owners to implement Service Level Metrics & Service Level Objectives. Establish design patterns for monitoring, benchmarking and deploying new features for the backend services.
- Develop and maintain technical documentation, network diagrams, runbooks, and procedures. Increase efficiency, respond to production incidents and prevent repeatable issues, improve the reliability and performance of the infrastructure.
Requirements:1. Bachelor’s degree or a foreign equivalent in Computer Science, Information Systems or a related field, plus 3 years of experience in the job offered or as a Computer Systems Engineer, Software Engineer or related job titles.
2. Applicable experience must include at least 3 years of experience with:
(1) supporting mission- critical, real-time, high-traffic applications in cloud environments;
(2) Knowledge of Cloud systems, continuous integration/build systems, Java, SQL and NoSQL databases; (3) observability tools such as Grafana, Prometheus, Zabbix;
(4) scripting/programming languages (Python or GoLang);
(5) one or more OSS technologies (Elasticsearch, Kafka or Redis);
(6) container technology like Docker, Kubernetes, Mesos.
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