AWS Cloud Engineer - Kubernetes, Kafka
NO SPONSORSHIP
AWS Cloud Engineer
SALARY: $115k - 120K and a 10% Bonus
LOCATION: Chicago, IL
Hybrid 2 day remote and 3 days onsite
SELLING POINTS: Bash Python Scripting AWS Kubernetes CICD Github Jenkins Artifactory Docker Compose K8s Kafka Rabbit MQ Amazon Kinesis Terraform Ansible Jenkins Helm Linux Linux Shell Scripting Splunk Infrastructure as a code (IaC)
Qualifications:
- Programming/Scripting experience in languages like Java, Bash, Python or Go
- Knowledge of Continuous Integration and Continuous Delivery (CI/CD) tools (examples - GitHub, Jenkins, Artifactory, Docker, Compose, K8s)
- Experience with distributed message brokers Kafka, RabbitMQ, ActiveMQ, Amazon Kinesis, etc.
- Experience with cloud technologies and migrations
- Working knowledge of DevOps tools. Eg Terraform, Ansible, Jenkins, Kubernetes, Helm and CI/CD pipeline etc.
- Experience preferred with AWS foundational services like VPCs, Security groups, EC2, RDS, S3 ACLs, KMS, AWS CLI and IAM etc.
- Experience developing and delivering technical solutions using public cloud service providers like Amazon, Google, etc.
- Familiarity with monitoring related tools and frameworks like Splunk, ElasticSearch, Prometheus, AppDynamics
- Experience with RESTful APIs and JSON RPC
- Experience following Git workflows
Technical Skills:
- Experience with Linux and Linux Shell Scripting.
- Jenkins job setup and execution analysis - including Splunk log review for Root Cause Analysis (RCA).
- Ability to manage Kubernetes deployments with helm charts, using continuous deployment tools like Harness.io
- Ability to manage AWS deployments using Terraform, Ansible, or similar Infrastructure as Code (IaC) frameworks.
- Experience with automation, configuration management and orchestration, infrastructure as code.
Experience with Golang or Python is a plus.
- BS degree in Computer Science, similar technical field, or equivalent experience
- 1+ years of experience in building large scale, data-centric solutions
- 3+ years of experience (recent) participating on a DevOps team or as product owner for DevOps team
Reference: 2827710547
AWS Cloud Engineer - Kubernetes, Kafka
Posted on Sep 24, 2024 by Request Technology - Robyn Honquest
NO SPONSORSHIP
AWS Cloud Engineer
SALARY: $115k - 120K and a 10% Bonus
LOCATION: Chicago, IL
Hybrid 2 day remote and 3 days onsite
SELLING POINTS: Bash Python Scripting AWS Kubernetes CICD Github Jenkins Artifactory Docker Compose K8s Kafka Rabbit MQ Amazon Kinesis Terraform Ansible Jenkins Helm Linux Linux Shell Scripting Splunk Infrastructure as a code (IaC)
Qualifications:
- Programming/Scripting experience in languages like Java, Bash, Python or Go
- Knowledge of Continuous Integration and Continuous Delivery (CI/CD) tools (examples - GitHub, Jenkins, Artifactory, Docker, Compose, K8s)
- Experience with distributed message brokers Kafka, RabbitMQ, ActiveMQ, Amazon Kinesis, etc.
- Experience with cloud technologies and migrations
- Working knowledge of DevOps tools. Eg Terraform, Ansible, Jenkins, Kubernetes, Helm and CI/CD pipeline etc.
- Experience preferred with AWS foundational services like VPCs, Security groups, EC2, RDS, S3 ACLs, KMS, AWS CLI and IAM etc.
- Experience developing and delivering technical solutions using public cloud service providers like Amazon, Google, etc.
- Familiarity with monitoring related tools and frameworks like Splunk, ElasticSearch, Prometheus, AppDynamics
- Experience with RESTful APIs and JSON RPC
- Experience following Git workflows
Technical Skills:
- Experience with Linux and Linux Shell Scripting.
- Jenkins job setup and execution analysis - including Splunk log review for Root Cause Analysis (RCA).
- Ability to manage Kubernetes deployments with helm charts, using continuous deployment tools like Harness.io
- Ability to manage AWS deployments using Terraform, Ansible, or similar Infrastructure as Code (IaC) frameworks.
- Experience with automation, configuration management and orchestration, infrastructure as code.
Experience with Golang or Python is a plus.
- BS degree in Computer Science, similar technical field, or equivalent experience
- 1+ years of experience in building large scale, data-centric solutions
- 3+ years of experience (recent) participating on a DevOps team or as product owner for DevOps team
Reference: 2827710547
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