Sr. Site Reliability Engineer (SRE) (Local to San Leandro, CA)

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Company: InfiCare Software Technologies

Location: San Leandro, CA 94577

Description:

Job Title: Senior Site Reliability Engineer with AI/ML experience preferred

Location: San Leandro, CA (Only local & 5 days Onsite per week)

Duration: 12+ Months

Interview: In-person Interview must

JD:-

Here is JD for Senior Site Reliability Engineer with AI/ML experience preferred.
  • 10+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • 10+ years of experience in Production support/Site Reliability Engineering teams with continued focus on improving Platform health
  • Familiar with Agile or other rapid application development practices
  • Hands-on expertise with Automated testing, Process Automation & building dashboards using APM tools.
  • Experience with distributed (multi-tiered) systems, algorithms, hands-on exp with Oracle and MongoBD databases.
  • Knowledge & Exposure of caching tools (Redis, memcache) or messaging tools such as MQ, Kafka.
  • Must have working knowledge of APM tools such as splunk, GCL, ELK, Grafana, Prometheus etc.
  • Able to create Dashboards using GCL/Splunk/ELK and setup alerts.
  • Working knowledge of CICD is a plus - Source control like Git, Continuous Integration - Jenkins / UCD Release etc. .
  • Ability to work with Engineering teams across the ecosystem such as Security, Networking & Infrastructure challenges which can impact platform health & resiliency.
  • Shell Scripting / DevOps tools like Ansible with good knowledge of yaml file to write playbooks .
  • Experience with distributed storage technologies like NFS as well as dynamic resource management frameworks PCF, Kubernetes / OpenShift, AWS or Azure.
  • Tech Stack: Java/J2EE (Spring, Spring Boot, Python, Shell Scripting, Kafka, Oracle, MongoDB etc.).
  • Able to work on shift duty in a 12/7 support organization.
  • A proactive approach to spotting problems, areas for improvement, and performance bottlenecks.
  • Bachelor's Degree in computer science, computer science engineering, or related experience required;

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