Boris Tengweck

About

Cloud/Linux infrastructure engineer focused on high-availability AWS platforms (EKS/EC2) with strong observability and incident response ownership. Has hands-on experience building secure CI/CD (GitHub Actions/Jenkins) and Terraform-based IaC at scale, including resolving real production issues like peak-traffic latency and Terraform remote state locking; transparent about not having direct IBM Power/AIX/PowerHA production ownership.

Key Strengths

• Owned reliability/monitoring/autoscaling/patching/DR readiness for multi-AZ AWS production systems (EKS/EC2)
• End-to-end incident troubleshooting: resolved intermittent peak latency by identifying connection pool exhaustion and insufficient scaling thresholds
• Improved scaling and reduced MTTR via HPA metric tuning and SLO-based alerting enhancements
• Executed DR/failover tests (node/AZ failure simulation) and led RCA with improved health checks/alerting
• Built and secured CI/CD pipelines (GitHub Actions + Jenkins) deploying Docker apps and Terraform to AWS with approvals, secrets management, versioning, and rollback
• Diagnosed and fixed Terraform remote state lock failure (DynamoDB lock), then added concurrency controls and lock validation
• Structured Terraform modules and promoted changes across dev/staging/prod with CI plan checks, PR reviews, and phased/blue-green rollouts

Reference Highlights

• Strong system administration skills
• Very strong troubleshooting under pressure
• Calm and highly effective during incidents
• Led incident response effectively
• Quickly restored services with minimal downtime
• Proactive in strengthening monitoring to prevent recurrence
• Drives RCA to closure
• Thorough discovery and planning for cutovers
• Clear rollback planning and risk management
• Consistent follow-through on remediation to closure
• Strong UNIX fundamentals (patching, performance, filesystems, security)
• Improved stability and reduced latency by fixing I/O/pathing issues
• Built reliable, repeatable CI/CD workflows
• Strong change control with approval gates and automated testing
• Secure secrets management practices
• Reduced manual errors and production incidents via automation
• Implemented structured IaC with strong state management
• Enforced peer reviews, validations, and drift detection
• Improved repeatability, predictability, and audit readiness

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