DevOps Engineer

2 Months ago • Upto 10 Years • DevOps

About the job

Job Description

DevOps Engineer with expertise in AWS Cloud, Unix/Linux Administration, automation scripting (Bash, Python), Docker, Kubernetes, Jenkins, Ansible, Terraform, monitoring tools, and database administration. Strong understanding of CI/CD principles, Git, and networking concepts. Experience with AWS services like EC2, ECS, ECR, VPC, S3, Route 53, RDS, and load balancing.
Must have:
  • AWS Cloud
  • Unix/Linux
  • Docker
  • Kubernetes
Good to have:
  • Jenkins
  • Ansible
  • Terraform
  • Nagios
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About the job

Candidate should have trained on Cloud technologies, AWS Cloud is preferred,

Cloud certification will be an added advantage ( AWS/Azure/GCP)

In-depth working expereince of Unix/Linux Administration

Experience in AWS/Azure cloud Understanding of EC2 ECS, ECR, VPC, S3, Route 53, RDS, Routing, etc.

DNS, TCP/IP, HA & Load Balancing (Elastic Load balancer, Haproxy, etc.)

Automation Skills with Bash or any other Scripting Languages like Python,

Hands on experience on Docker, Kubernetes.

Knowledge of modern pipeline and automation tools such as Jenkins, Ansible, Terraform

Monitoring tools like Nagios, ELk, Dynatrace, Cloud Watch etc..

AWS RDS, MySQL, and NoSQL database administration

Storage Fundamentals/ Knowledge


AWS cloud Experience and CI/CD with good Script skills, along with Monitoring and Troubleshooting skills.


- Flexible to work in shifts

- Linux/*NIX administering, Bash/Python scripting

- Knowledge of CI/CD principles and best practices

- Git or other version control systems

- English - at least Intermediate

- Kubernetes, Docker, ECS, EKS

- AWS


Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, and advanced analytics services. Fusing technical vision with business acumen, we enable positive business outcomes for enterprise companies undergoing business transformation by solving their most pressing technical challenges. A key differentiator for Grid Dynamics is our 7+ 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. Follow us on LinkedIn.

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About The Company

Grid Dynamics empowers enterprise-scale companies to drive revenue growth, boost efficiency, and maximize the impact of their digital modernization initiatives.


Our clients span diverse industry verticals such as Retail, Manufacturing and CPG, Insurance, Wealth Management, Banking and Payments, Pharma and Life Sciences, and High-tech. We co-innovate with clients to help them solve complex business challenges and uncover new revenue streams through our technology consulting, platform and product engineering, AI, and advanced analytics services.


With expertise in simplifying and modernizing business operations, we enable clients to make data-driven decisions and support an evolving digital customer, from initial engagement to post-purchase support, driving efficiency and growth across business operations.


In addition to our work with enterprise leaders, we serve as a trusted co-innovation partner for startups, helping them address key challenges and transition into young enterprises poised for sustainable growth. By combining our deep technical expertise with a collaborative approach, we empower businesses—from startups to enterprises—to reach new heights.


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, application modernization, cloud & DevOps, and customer experience. Grid Dynamics offers a range of starter kits to its clients, enabling increased speed-to-market with business driving solutions.


Grid Dynamics is headquartered in Silicon Valley with a global footprint (Americas, Europe, and India) and a follow-the-sun delivery model bolstered by engineering talent driven by innovation, technical mastery, and resulting in transformational business outcomes.

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