AWS DevOps Engineer- Hybrid
Locations : Richmond, Virginia or McLean, Virginia
Work type : Hybrid- 3 days' work from office
Skill Set : AWS DevOps
Tools : GitHub, Jenkins, Ansible / chef, docker, Kubernetes, CICD pipeline, Python / Shell scripting and Groovy etc.
Job Summary
Working knowledge of containerization (Docker)and supporting technologies
Experience with Orchestration tools like Kubernetes
Experience working with CICD pipeline and having knowledge of ATDD framework
Experience maintaining automated build systems such as Jenkins
Familiarity with Splunk / DataDog, Pager duty for investigating or monitoring problems on systems
AWS Domain Skills- AWS IAM,AWS RDS,AWS EC2,AWS ECS,AWS Services, step function, AWS (CloudFormation, Lambda)
Experience maintaining automated build systems such as Jenkins
Experience maintaining large clusters using configuration tools such as : Ansible, Chef
Experience in integrating test automation into DevOps pipeline
Experience in Source control management such as GitHub
Must know Python / Shell scripting and Groovy, AGILE methodology
Willing to support on-call & work in PST time on-rotation basis
Salary and Other Compensation :
The annual salary for this position is between $49,001- $107,000 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.
Benefits : Cognizant offers the following benefits for this position, subject to applicable eligibility requirements :
- Medical / Dental / Vision / Life Insurance
- Paid holidays plus Paid Time Off
- 401(k) plan and contributions
- Long-term / Short-term Disability
- Paid Parental Leave
- Employee Stock Purchase Plan
IND123
AWS DevOps Engineer- Hybrid
AWS Domain Skills- AWS IAM,AWS RDS,AWS EC2,AWS ECS,AWS Services, step function, AWS (CloudFormation, Lambda). Work type: Hybrid- 3 days' work from office. Experience in integrating test automation into DevOps pipeline. ...
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