- Minimum 5 years of experience as a DevOps Engineer, with a strong focus on CI/CD pipeline management and infrastructure automation.
- Hands-on experience with CI/CD tools such as Jenkins, BitRise, GitHub, and GitHub Actions.
- Solid understanding of infrastructure-as-code (IaC) principles, preferably using Terraform Cloud.
- Proficiency in managing Kubernetes clusters in AWS, including deployment, scaling, and troubleshooting.
Cloud and Infrastructure:
- In-depth knowledge of Amazon Web Services (AWS) and its core services, with a focus on infrastructure automation and management.
- Experience with containerization technologies like Docker and container orchestration platforms such as Kubernetes.
- Familiarity with serverless architecture and services, such as AWS Lambda.
Monitoring and Alerting:
- Strong experience in setting up and maintaining monitoring tools like Grafana, Prometheus, and PagerDuty.
- Proven ability to configure monitoring dashboards, alarms, and alerting mechanisms for proactive system monitoring.
- Good Experience with open source observability tools (Prometheus, Grafana and OpenTelemtery)
Scripting and Automation:
- Strong knowledge of automation an entire DevOps pipeline, including CI/CD cycles, infrastructure and configurations, app performance monitoring.
- Strong programming skills (Python and Golang is highly preferable)
- Strong understanding of Kubernetes and containers.
- Strong understanding of cloud core services (VPCs, IAM, EC2, storage, managed Kubernetes). (AWS is highly preferable)
- Heavy experience with managing large infra with IaC (Terrform is highly preferable)
- Excellent knowledge of DevOps tools, coding, and scripting.
- Experience with service meshes and API Gateways (huge plus).
Collaboration and Communication:
- Strong teamwork and collaboration skills with the ability to work effectively across cross-functional teams.
- Excellent verbal and written communication skills to articulate technical concepts and solutions effectively.
- Strong understanding of networking and operating systems.
- Strong troubleshooting skills.
\n - Training & Development
- performance bounce
- Work from Home
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- performance bounce
- Work from Home
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- Minimum 5 years of experience as a DevOps Engineer, with a strong focus on CI/CD pipeline management and infrastructure automation.
- Hands-on experience with CI/CD tools such as Jenkins, BitRise, GitHub, and GitHub Actions.
- Solid understanding of infrastructure-as-code (IaC) principles, preferably using Terraform Cloud.
- Proficiency in managing Kubernetes clusters in AWS, including deployment, scaling, and troubleshooting.
Cloud and Infrastructure:
- In-depth knowledge of Amazon Web Services (AWS) and its core services, with a focus on infrastructure automation and management.
- Experience with containerization technologies like Docker and container orchestration platforms such as Kubernetes.
- Familiarity with serverless architecture and services, such as AWS Lambda.
Monitoring and Alerting:
- Strong experience in setting up and maintaining monitoring tools like Grafana, Prometheus, and PagerDuty.
- Proven ability to configure monitoring dashboards, alarms, and alerting mechanisms for proactive system monitoring.
- Good Experience with open source observability tools (Prometheus, Grafana and OpenTelemtery)
Scripting and Automation:
- Strong knowledge of automation an entire DevOps pipeline, including CI/CD cycles, infrastructure and configurations, app performance monitoring.
- Strong programming skills (Python and Golang is highly preferable)
- Strong understanding of Kubernetes and containers.
- Strong understanding of cloud core services (VPCs, IAM, EC2, storage, managed Kubernetes). (AWS is highly preferable)
- Heavy experience with managing large infra with IaC (Terrform is highly preferable)
- Excellent knowledge of DevOps tools, coding, and scripting.
- Experience with service meshes and API Gateways (huge plus).
Collaboration and Communication:
- Strong teamwork and collaboration skills with the ability to work effectively across cross-functional teams.
- Excellent verbal and written communication skills to articulate technical concepts and solutions effectively.
- Strong understanding of networking and operating systems.
- Strong troubleshooting skills.
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