DevOps Engineer

Essential Functions

Experience: 4 to 8 years

Details on tech stack

• AWS Core Services: Proficiency in services like EC2, S3, RDS, VPC, IAM, and Lambda.
• Networking: Understanding of VPCs, subnets, route tables, NAT gateways, and security groups.
• AWS CLI & SDKs: Familiarity with AWS Command Line Interface (CLI) and Software Development Kits (SDKs) for automation.
• Version Control: Experience with Git
• CI/CD Pipelines: Knowledge of setting up and managing Continuous Integration/Continuous Deployment (CI/CD) pipelines using tools like Jenkins, AWS Code Pipeline, or GitLab CI.
• Docker: Experience with containerizing applications using Docker.
• Kubernetes/ECS/EKS: Understanding of container orchestration using Kubernetes (EKS) or AWS ECS.
• CloudWatch: Setting up monitoring and alerts using Amazon CloudWatch.
• Logging Tools: Experience with logging and analysis tools like AWS CloudTrail, Elasticsearch
• IAM: Strong understanding of Identity and Access Management (IAM) roles, policies, and permissions.
• Database Services: Knowledge of AWS database services like RDS, MySQL.
• Backup and Recovery: Implementing backup and recovery strategies using AWS services like S3 and Glacier.
• Alibaba Cloud Experience ( Must have experience )
• AWS with EKS, RabbitMQ, Elastic Cache, ECS, Elastic beanstalk, Aurora RDS, Data Migration service and Open search ( Must have strong experience.)
• Must have strong hands-on experience on Shell Scripting
• Must have strong hands-on experience on Keycloak
• Must have strong hands-on experience on Jenkins and Argo CD
• Must have strong hands-on experience on Nginx
• Must have knowledge on ELK stack.
  
  

Qualifications

Experience: 4 to 8 years

• AWS Core Services: Proficiency in services like EC2, S3, RDS, VPC, IAM, and Lambda.
• Networking: Understanding of VPCs, subnets, route tables, NAT gateways, and security groups.
• AWS CLI & SDKs: Familiarity with AWS Command Line Interface (CLI) and Software Development Kits (SDKs) for automation.
• Version Control: Experience with Git
• CI/CD Pipelines: Knowledge of setting up and managing Continuous Integration/Continuous Deployment (CI/CD) pipelines using tools like Jenkins, AWS Code Pipeline, or GitLab CI.
• Docker: Experience with containerizing applications using Docker.
• Kubernetes/ECS/EKS: Understanding of container orchestration using Kubernetes (EKS) or AWS ECS.
• CloudWatch: Setting up monitoring and alerts using Amazon CloudWatch.
• Logging Tools: Experience with logging and analysis tools like AWS CloudTrail, Elasticsearch
• IAM: Strong understanding of Identity and Access Management (IAM) roles, policies, and permissions.
• Database Services: Knowledge of AWS database services like RDS, MySQL.
• Backup and Recovery: Implementing backup and recovery strategies using AWS services like S3 and Glacier.
• Alibaba Cloud Experience ( Must have experience )
• AWS with EKS, RabbitMQ, Elastic Cache, ECS, Elastic beanstalk, Aurora RDS, Data Migration service and Open search ( Must have strong experience.)
• Must have strong hands-on experience on Shell Scripting
• Must have strong hands-on experience on Keycloak
• Must have strong hands-on experience on Jenkins and Argo CD
• Must have strong hands-on experience on Nginx
• Must have knowledge on ELK stack.
  
  

Would be a plus

Nice To Have Requirements To The Candidate

AWS Certified DevOps Engineer – Professional: This certification demonstrates advanced expertise in DevOps practices within the AWS environment.

We offer

• Opportunity to work on bleeding-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Benefits package - medical insurance, sports
• Corporate social events
• Professional development opportunities
• Well-equipped office
  
  

About Us

Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.