Site Reliability Engineer - Linux, Kubernetes, Terrraform

Hybrid in Chicago, IL, US • Posted 30+ days ago • Updated 29 days ago

Full Time

Hybrid

$150,000 - $160,000/yr

Fitment

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Job Details

Skills

Ansible
Apache Kafka
Jenkins
Kubernetes
Docker
Reliability Engineering
Terraform

Summary

NO SPONSORSHIP - NO OPT

Site Reliability Engineering

This is all about Linux, Kubernetes, Docker, Terraform, Jenkins, Ansible, Harness

Observation, logging and Capacity planning

AI is a huge preference

Kafka is a huge preference, but not a must

SELLING POINTS: AWS Cloud application profiling monitoring logging metrics collection analysis AI ops splunk app dynamics data dog stack driver sys dig scripting bash python go messaging kafka rabbit mq active mq kubernetes docker swarm rancher Jenkins travis harness AI power tools linux

Qualifications:

Experience with maintaining and troubleshooting large-scale distributed systems
Experience with Agile / Scrum methodology
Able to succeed in fast-paced environment with frequent changes

Experience managing infrastructure in public cloud environments like AWS (preferred), Azure or Google Cloud Platform
Experience with AIOps and predictive analysis for anomaly detection, forecasting system capacity using monitoring and alerting tools like Splunk, AppDynamics, Datadog, StackDriver, Sysdig, Prometheus or Grafana
Programming/scripting experience in languages like Java, Bash, Python or Go
Experience with Kafka, RabbitMQ, or ActiveMQ
Experience with container orchestration systems like Kubernetes, Mesos, Docker Swarm or Rancher
Experience with using Continuous Integration and Continuous Delivery (CI/CD) tools like Jenkins, Travis, Harness, Appveyor, CodeBuild or CodePipeline
Familiarity with leveraging large language models (LLMs) to automate and optimize SRE workflows. This may include using AI-powered tools to perform tasks such as, writing scripts, summarizing incident reports, or even creating and maintaining AI workloads.
Familiarity with leveraging large language models (LLMs) to automate and optimize SRE workflows. This may include using AI-powered tools to perform tasks such as, writing scripts, summarizing incident reports, data analysis or even creating and maintaining AI workloads.
Basic exposure to Chaos Engineering tools like, Gremlin, Chaos Monkey, Harness Chaos Engineering, or cloud-native fault injection services like AWS FIS.
Minimum of 4+ years of experience in Site Reliability Engineering / DevOps

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: napil006
Position Id: 8828095
Posted 30+ days ago

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Site Reliability Engineer - Linux, Kubernetes, Terrraform

Dice Job Match Score™

Job Details

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Summary

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