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Mid-Level DevOps Engineer Checklist

Use this checklist to assess your readiness for mid-level DevOps positions (2-5 years experience).

Advanced Linux

System Administration

  • Advanced shell scripting (bash)
  • System performance tuning
  • Process management and optimization
  • Advanced file system operations
  • System monitoring and troubleshooting
  • Kernel parameters tuning

Automation

  • Write complex bash scripts
  • Python scripting for automation
  • Configuration management basics (Ansible)
  • System automation workflows

Cloud Expertise (AWS/GCP/Azure)

Advanced Services

  • Auto Scaling Groups
  • Load Balancers (ALB, NLB)
  • RDS (Multi-AZ, Read Replicas)
  • ElastiCache (Redis/Memcached)
  • CloudFront CDN
  • Route 53 DNS
  • S3 advanced features (lifecycle, versioning)

Networking

  • VPC advanced (peering, Transit Gateway)
  • VPN and Direct Connect
  • Security Groups and NACLs
  • Network troubleshooting

Cost Optimization

  • Reserved Instances
  • Spot Instances
  • Right-sizing instances
  • Cost monitoring and optimization

Kubernetes

Core Concepts

  • Pods, Services, Deployments
  • ConfigMaps and Secrets
  • Ingress and networking
  • PersistentVolumes
  • Namespaces and RBAC

Advanced Topics

  • StatefulSets and DaemonSets
  • Jobs and CronJobs
  • Resource quotas and limits
  • Network policies
  • Service mesh basics (Istio/Linkerd)

Operations

  • Deploy applications to Kubernetes
  • Troubleshoot pod issues
  • Manage cluster resources
  • Upgrade clusters
  • Backup and restore

Infrastructure as Code

Terraform Advanced

  • Modules and module composition
  • Remote state management
  • Workspaces and environments
  • State locking
  • Import existing resources
  • Terraform best practices

CloudFormation (AWS)

  • Write CloudFormation templates
  • Nested stacks
  • Stack sets
  • Change sets

Ansible

  • Write playbooks
  • Roles and modules
  • Inventory management
  • Configuration management

CI/CD Advanced

Pipeline Design

  • Multi-stage pipelines
  • Parallel job execution
  • Conditional execution
  • Pipeline optimization
  • Artifact management

Deployment Strategies

  • Blue-green deployments
  • Canary deployments
  • Rolling deployments
  • Feature flags
  • Rollback strategies

Advanced Features

  • Secrets management in pipelines
  • Infrastructure testing in CI/CD
  • Database migrations in pipelines
  • Multi-environment deployments
  • Pipeline as code best practices

Monitoring & Observability

Monitoring Tools

  • Prometheus and Grafana
  • CloudWatch advanced
  • ELK stack (Elasticsearch, Logstash, Kibana)
  • APM tools (New Relic, Datadog)

Metrics & Alerting

  • Custom metrics
  • Alerting rules
  • Dashboard creation
  • Log aggregation and analysis

Distributed Tracing

  • Understand distributed tracing
  • Use tracing tools (Jaeger, Zipkin)
  • Debug microservices issues

Security

Security Practices

  • Security scanning (SAST, DAST)
  • Container security
  • Secrets management (Vault, AWS Secrets Manager)
  • Network security
  • Compliance basics (SOC 2, PCI DSS)

Implementation

  • Implement security best practices
  • Security audits
  • Vulnerability management
  • Incident response basics

Disaster Recovery & High Availability

Concepts

  • RPO and RTO
  • Backup strategies
  • Disaster recovery planning
  • Multi-region architectures
  • Failover strategies

Implementation

  • Design HA architectures
  • Implement backups
  • Test disaster recovery
  • Document recovery procedures

Performance Optimization

Application Performance

  • Identify bottlenecks
  • Optimize database queries
  • Caching strategies
  • CDN optimization
  • Load testing

Infrastructure Performance

  • Right-size resources
  • Optimize costs
  • Auto-scaling optimization
  • Network optimization

Architecture Design

System Design

  • Design scalable architectures
  • Microservices architecture
  • Event-driven architecture
  • API design
  • Database design

Best Practices

  • Well-Architected Framework (AWS)
  • Design patterns
  • Trade-offs analysis
  • Documentation

Automation & Scripting

Advanced Scripting

  • Complex bash scripts
  • Python automation
  • API integration (REST, GraphQL)
  • Error handling and logging

Infrastructure Automation

  • Complete infrastructure automation
  • Multi-environment automation
  • Self-healing systems
  • Automated testing

Troubleshooting & Problem Solving

Advanced Troubleshooting

  • Complex system debugging
  • Performance issues
  • Network issues
  • Database issues
  • Distributed system issues

Problem-Solving Approach

  • Systematic debugging
  • Root cause analysis
  • Documentation of solutions
  • Knowledge sharing

Leadership & Collaboration

Team Collaboration

  • Code reviews
  • Knowledge sharing
  • Mentoring junior engineers
  • Cross-functional collaboration

Process Improvement

  • Identify process improvements
  • Implement best practices
  • Documentation
  • Tool evaluation and selection

Projects to Build

Intermediate Projects

  • Multi-tier application on cloud
  • Microservices on Kubernetes
  • Complete CI/CD pipeline
  • Multi-region setup
  • Monitoring and alerting stack
  • Disaster recovery setup

Advanced Projects

  • Production-ready application
  • Complete DevOps pipeline
  • Security hardening
  • Cost optimization project
  • Performance optimization

Interview Readiness

Technical Depth

  • Can explain complex concepts
  • Can discuss trade-offs
  • Can design architectures
  • Can troubleshoot complex issues
  • Can optimize systems

System Design

  • Can design scalable systems
  • Can discuss architecture decisions
  • Can evaluate trade-offs
  • Can estimate capacity

Leadership

  • Can mentor others
  • Can lead projects
  • Can improve processes
  • Can communicate effectively

Certifications (Recommended)

  • AWS Certified Solutions Architect - Associate
  • AWS Certified DevOps Engineer - Professional (or working towards)
  • CKA (Certified Kubernetes Administrator)
  • HashiCorp Terraform Associate

Assessment

If You Can Check 80%+:

✅ You're ready for mid-level DevOps interviews!

Focus Areas if Below 80%:

  1. Kubernetes: Essential for most roles
  2. Cloud Advanced: Deep expertise in one cloud
  3. CI/CD: Advanced pipeline design
  4. Architecture: System design skills
  5. Leadership: Team collaboration and mentoring

Next Steps

  1. Deepen Expertise: Specialize in areas of interest
  2. Get Certified: Validate your knowledge
  3. Lead Projects: Take ownership
  4. Mentor: Help junior engineers
  5. Contribute: Open source, blog posts, talks
  6. Network: Attend meetups, conferences

Tips for Mid-Level DevOps Engineers

  1. Specialize: Deep expertise > broad knowledge
  2. Own Projects: Take end-to-end ownership
  3. Mentor: Teaching reinforces learning
  4. Stay Current: DevOps changes fast
  5. Automate Everything: Look for automation opportunities
  6. Document: Share knowledge with team
  7. Network: Connect with DevOps community

Good luck! 🚀