DevOps Engineer

3 days ago

Chennai, Tamil Nadu, India Aaytham Consulting (AyC) Full time ₹ 9,00,000 - ₹ 12,00,000 per year

About the Role:

We are looking for a passionate and skilled DevOps Engineer (Full-Time) to join our Product Engineering team at Aaytham Consulting. This role provides an exciting opportunity to work with cloud infrastructure, CI/CD pipelines, and modern DevOps tools to support deployment, automation, and monitoring. You will play a key role in ensuring scalability, reliability, and performance of applications while collaborating with our engineering teams.

Key Responsibilities

  • Configure and manage cloud infrastructure using AWS services (
    EC2, S3

, and storage management).
- Design, implement, and maintain
CI/CD pipelines

for automated deployments and testing.
- Deploy and manage
Kubernetes

workloads, including pods in Amazon EKS.
- Utilize
Terraform

to define, provision, and manage infrastructure as code (IaC).
- Implement auto-scaling, monitoring, and alerting solutions to ensure high availability and performance of applications.
- Write and maintain
Helm charts

for Kubernetes deployments.
- Collaborate with development teams using
Git

for version control and code management.
- Maintain and enhance
Linux-based infrastructure

, ensuring stability and performance.
- Create and manage AWS projects, ensuring proper setup and configuration.
- Manage AWS billing and payments, including cost monitoring, optimization, and reporting.

Required Skills

  • Strong working experience with
    Linux

operating systems and command-line tools.
- Proficiency with
Git

for version control and collaboration.
- Hands-on experience with
Docker

for containerization.
- Practical knowledge of
Terraform

for infrastructure automation.
- Solid understanding of
AWS services

(EC2, S3, EKS, IAM

, and storage management).
- Experience with
CI/CD pipelines

and deployment automation tools (e.g., Jenkins, GitHub Actions, AWS CodePipeline).
- Knowledge of
auto-scaling

strategies and cloud cost optimization.
- Experience with
Kubernetes

(EKS preferred) for container orchestration.
- Familiarity with
Helm

for managing Kubernetes applications.
- Scripting knowledge

(Bash/Python) for automation and troubleshooting (preferred).

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