DevOps Engineer / Cloud Engineer
We are looking for a highly skilled
DevOps Engineer / Cloud Engineer
with strong experience in
Kubernetes, AWS networking, containerization, and infrastructure automation
. The ideal candidate will have deep expertise in building and managing scalable cloud infrastructure and automating deployment pipelines in AWS environments.
This role requires someone who is
hands-on with Kubernetes and container orchestration
, has
strong end-to-end AWS networking knowledge
, and extensive experience with
Docker and Terraform for infrastructure automation
.
Key Responsibilities:
Design, implement, and maintain
scalable and secure cloud infrastructure on AWS
.
Build and manage
Kubernetes clusters
for container orchestration and microservices deployment.
Develop and maintain
infrastructure as code using Terraform or CloudFormation
.
Implement and manage
containerized environments using Docker
.
Design and manage
AWS networking architecture
, including VPCs, subnets, routing, security groups, load balancers, and connectivity.
Build and maintain
CI/CD pipelines
for automated application deployments.
Develop
Python scripts
for automation, monitoring, and operational tasks.
Implement monitoring, logging, and alerting solutions using tools such as
Prometheus, Grafana, and ELK stack
.
Ensure infrastructure reliability, security, and high availability across environments.
Collaborate with development teams to support
microservices-based architectures
and DevOps best practices.
Required Skills \& Qualifications:
Bachelor’s degree in
Computer Science, Engineering, or a related field
.
7+ years of experience
as a DevOps Engineer or Cloud Engineer.
Strong hands-on experience with
Kubernetes (cluster setup, management, and troubleshooting)
.
Deep knowledge of
AWS services and networking architecture
including VPC, routing, load balancing, security groups, and connectivity.
Extensive experience with
Docker and containerization
.
Strong experience with
Terraform or other Infrastructure-as-Code tools
.
Proficiency in
Python scripting for automation
.
Experience with
CI/CD tools
such as Jenkins, GitHub Actions, GitLab CI, or AWS CodePipeline.
Strong experience with
Linux administration and shell scripting
.
Solid understanding of
networking, security, and load balancing principles
.
Experience with
monitoring and observability tools
such as Prometheus, Grafana, and ELK.
Preferred Qualifications:
AWS Certified DevOps Engineer or Solutions Architect
certification.
Experience with
serverless architecture using AWS Lambda
.
Experience working with
microservices architecture
.
Familiarity with
Agile/Scrum development practices
.
Experience with
GitOps tools such as ArgoCD
.