DevOps Engineer

Design implement and manageCI/CD pipelines.

Automate infrastructure provisioning usingInfrastructure as Code (IaC).

Deploy and maintain applications across cloud and on-premises environments.

Manage containerized workloads usingDocker and Kubernetes.

Monitor system availability performance security and capacity.

Identify and resolve infrastructure application and deployment issues.

Implement logging alerting backup and disaster-recovery solutions.

Apply security best practices throughout the software development lifecycle.

Manage source-control strategies release processes and environment configurations.

Improve platform reliability scalability and deployment frequency.

Develop scripts and tools to reduce manual operational tasks.

Maintain technical documentation runbooks and architecture diagrams.

Participate in incident response root-cause analysis and on-call rotations.

Collaborate with cross-functional teams to promote DevOps practices and continuous improvement.

Bachelors degree in Computer Science Information Technology Engineering or equivalent practical experience.

Proven experience in DevOps cloud engineering site reliability engineering or systems administration.

Experience with at least one major cloud platform:AWS Microsoft Azure or Google Cloud.

Strong knowledge of Linux administration and networking fundamentals.

Experience with CI/CD tools such asGitHub Actions GitLab CI/CD Jenkins or Azure DevOps.

Proficiency with Infrastructure as Code tools such asTerraform CloudFormation or Pulumi.

Experience with configuration-management tools such asAnsible Puppet or Chef.

Hands-on knowledge of Docker and container-orchestration platforms.

Scripting experience usingPython Bash or PowerShell.

Familiarity with monitoring and observability tools such asPrometheus Grafana Datadog Splunk or the ELK Stack.

Understanding of secrets management identity and access management and cloud security principles.

Strong troubleshooting communication and collaboration skills.

Relevant cloud or Kubernetes certifications.

Experience managing production Kubernetes environments.

Familiarity with GitOps tools such as Argo CD or Flux.

Knowledge of service meshes serverless platforms and microservices architecture.

Experience with database operations performance tuning and disaster recovery.

Understanding of SRE concepts including SLIs SLOs error budgets and incident management.

Experience supporting high-availability and large-scale distributed systems.

Deployment frequency and lead time for changes

Application and infrastructure availability

Mean time to detect and recover from incidents

Change-failure rate

Percentage of infrastructure managed through automation

Security and compliance findings

Reduction in manual operational work