AWS AI Solution Architect

Job Description

Must Have Technical/Functional Skills

• Good knowledge in CI/CD Jenkins pipeline
• Good hands on experience in version control tool (bitbucket, Git)
• Experience in devops tools like git, sourcetree, kiali, kibana, Kubernetes, ESS, Rancher
• Good experience in AWS EKS cluster, pods, dockers
• Good experience in Unix operating system
• Experience in Hashicorp/McVault
• Experience in using postman, pgadmin, rapid sql tools
• Good experience in ServiceNow, Jira tools
• Good Experience in setting up Kibana/ESS alters and rules
• Good experience Java scripting/coding
• Good knowledge in monitoring tools splunk, Dynatrace, Grafana
• Good experience in prod supports, incidents management and troubleshoots skills in Java based applications
• Good experience in testing using cucumber and other tools.
• Knowledge in AI tools.

Roles & Responsibilities

• Strong Knowledge in Jenkins pipeline creation using scripts
• Strong knowledge in DEVOPS tools like Jenkins, Bitbucket, Jira, JFROG, ServiceNow installation, migrations, upgradations
• Strong knowledge in Bitbucket operations
• Strong knowledge in adapting new features like Bluegreen deployment, integrating Jenkins pipeline with other devops tools for scheduling deployments and other utility features like creating DB, and other infra using utility pipeline.
• Good knowledge in all ticketing tools like, Jira, Servicenow
• Good knowledge in ITIL foundations like incident, change, problems, capacity and configuration
• Strong knowledge in Kibana/ESS
• Strong knowledge in troubleshooting skills
• Strong knowledge in Kubernetes with EKS cluster, pods, containers, dockers, istio service mesh
• Good knowledge in vaulting Hashicorp, Mcvault
• Good knowledge in postman, kiali/ocp/rancher, pgadmin/rapidsql, git and database basic knowledge
• Good knowledge in control/autosys jobs configure and integrate with pipelines