Job Title Senior Site Reliability Engineer with AI/ML.

Location: San Leandro, CA - Onsite

Note: Need only locals as in-person interview required for this role

• 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 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;