SRE- Prometheus

Shrive Technologies Llc

Columbus, United States of America

8 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English

Experience level

Intermediate

Job location

Columbus, United States of America

Tech stack

Agile Methodologies

Amazon Web Services (AWS)

Azure

Continuous Integration

Relational Databases

DevOps

Distributed Data Store

Java Platform Enterprise Edition (J2EE)

Spring

Python

Memcached

MongoDB

NoSQL

Openshift

Oracle Applications

Rapid Application Development

Redis

Reliability Engineering

Ansible

Prometheus

Shell Script

Software Engineering

YAML

Grafana

Spring-boot

Caching

GIT

Kubernetes

Kafka

Splunk

Software Version Control

Jenkins

Requirements

8+ years of Software Engineering experience 4+ years of experience in Site Reliability Engineering teams with continued focus on improving Platform health Familiar with Agile or other rapid application development practices Hands-on expertise in building dashboards using APM tools. Experience with distributed (multi-tiered) systems, algorithms, relational databases, and NoSQL 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.). A proactive approach to spotting problems, areas for improvement, and performance bottlenecks.