DevOps Engineer
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Key skills for this role
Key Skills for This Role
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Key Responsibilities
- Design, implement, and manage CI/CD pipelines.
- Automate infrastructure provisioning using Infrastructure as Code.
- Deploy and maintain applications across cloud and on-premises environments.
- Manage containerized workloads using Docker 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 documentation, participate in incident response, and collaborate on DevOps improvement.
Required Qualifications
- Bachelor’s 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 Linux administration and networking fundamentals.
- Experience with CI/CD, Infrastructure as Code, and configuration-management tools.
- Hands-on knowledge of Docker and container-orchestration platforms.
- Scripting experience using Python, Bash, or PowerShell.
- Understanding of monitoring, observability, secrets management, identity and access management, and cloud security.
- Strong troubleshooting, communication, and collaboration skills.
Preferred Qualifications
- 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.
Key Performance Indicators
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.
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