Berkay Çelik

Site Reliability Engineer — DevOps Engineer — Cloud Architect

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About Me

Experienced Site Reliability Engineer with 4+ years optimizing cloud infrastructure and implementing DevOps best practices. Proven track record of achieving 99.99% uptime for enterprise systems, reducing infrastructure costs by 30%, and improving deployment efficiency by 60%. Expertise in Azure, AWS, Kubernetes, Terraform, and MLOps. Azure AZ-104 Certified.

Contact Information

  • Location: Istanbul, Turkey

Skills & Expertise

Cloud Platforms & Infrastructure

Azure (AZ-104 Certified), AWS (EC2, RDS, Lambda, S3, SageMaker), Google Cloud Platform, Kubernetes, Docker, OpenShift, Helm, ArgoCD, Kubeflow, Terraform, Ansible, Azure ARM Templates, CloudFormation, Pulumi

DevOps & Monitoring

Azure DevOps, Jenkins, GitHub Actions, GitLab CI, Tekton, Prometheus, Grafana, ELK Stack, Datadog, New Relic, Instana APM, MLflow, Kubeflow, TensorFlow, PyTorch

Programming & Methodologies

Python, Go, Bash, PowerShell, JavaScript, SQL, Agile, Scrum, GitOps, SRE Practices, DevSecOps, A/B Testing

Professional Experience

AMADEUS

  • Senior DevOps Engineer
    April 2024–Current
    • •Managed SRE operations for travel platform processing 1.5B+ annual transactions, achieving 99.99% uptime through Prometheus/Grafana monitoring and automated incident response
    • •Led Azure cloud migration for 200+ microservices on OpenShift, reducing infrastructure costs by 30% and deployment time by 60% using Terraform IaC and CI/CD pipelines
    • •Implemented observability framework with 50+ custom Prometheus metrics and Grafana dashboards, decreasing MTTR by 40%
    • •Architected MLOps platform using Kubeflow and MLflow for AI-powered recommendations, reducing model release cycles from weeks to 2 days
    • •Collaborated cross-functionally with 25+ engineers across 4 time zones to establish SRE best practices, achieving 95% error budget compliance
    • •Automated infrastructure provisioning using Azure ARM templates and Ansible, reducing manual tasks by 70%

Managing critical infrastructure for one of the world's leading travel technology platforms, I ensure exceptional reliability and performance for systems processing billions of transactions annually. Leading cloud migration initiatives and implementing cutting-edge SRE practices to achieve enterprise-level availability and efficiency.

ICRON

  • Cloud Engineer
    September 2022–April 2024
    • •Orchestrated cloud deployments for supply chain platform serving 50+ enterprise clients, managing Azure infrastructure and reducing costs by 25%
    • •Automated infrastructure using Terraform and Ansible, reducing deployment time from 4 hours to 30 minutes
    • •Designed RBAC framework with 20+ custom roles, reducing access provisioning time by 75% and achieving SOC2 compliance
    • •Implemented monitoring stack with Prometheus/Grafana, improving availability from 97% to 99.5% and reducing MTTR by 40%
    • •Modernized CI/CD pipelines using Azure DevOps, implementing blue-green deployments for zero-downtime releases

Optimized cloud infrastructure for enterprise supply chain optimization platform, delivering significant cost savings and performance improvements through automation and modern DevOps practices.

IBM

  • Site Reliability Engineering
    June 2022–September 2022
    • •Optimized performance for 20+ enterprise applications using Instana APM, reducing P1 incident resolution from 2 hours to 45 minutes
    • •Deployed Kubernetes clusters on RedHat OpenShift with auto-scaling and self-healing, increasing uptime to 99.5%
    • •Established SRE practices including golden signals monitoring and error budgets, achieving 40% MTTR reduction

Contributed to enterprise-level reliability engineering initiatives, implementing monitoring solutions and container orchestration to enhance system performance and availability.

AYSTEK Smart Software

  • DevOps Engineer
    January 2021–May 2022
    • •Migrated 15+ applications from on-premises to AWS (EC2, RDS, S3), reducing costs by 30% ($8K monthly)
    • •Developed Terraform modules for AWS infrastructure, automating 50+ resources deployment
    • •Implemented CI/CD pipelines using Jenkins and AWS CodeDeploy with 95% deployment success rate
    • •Optimized serverless architecture using AWS Lambda and API Gateway, improving response times from 800ms to 200ms

Drove cloud migration initiatives and established infrastructure automation practices, delivering significant cost savings and performance improvements for multiple client applications.

Ozyegin University

  • Teaching Assistant
    January 2021–May 2022
    • •Delivered 20+ lab sessions on optimization techniques for 150+ students, achieving 92% satisfaction rating
    • •Developed automated grading system using Python and VBA, reducing grading time by 60%
    • •Mentored 15+ teaching assistants through structured training programs

Supported academic excellence by facilitating practical learning experiences and developing automation solutions to enhance educational efficiency.

Achievements

Master of Science in Artificial Intelligence (In Progress)

Ozyegin University

Currently pursuing advanced studies in Artificial Intelligence with focus on Machine Learning, Deep Learning, and MLOps. Combining theoretical knowledge with practical application in production environments.

Bachelor of Science in Computer Science

Ozyegin University

Completed comprehensive computer science program with GPA: 3.2/4.0. Gained strong foundation in software engineering, algorithms, data structures, and system design principles.

Microsoft Azure Administrator (AZ-104)

Microsoft

Certified Azure Administrator demonstrating expertise in implementing, managing, and monitoring Microsoft Azure environments including compute, storage, networking, and security services.

Key Projects

Cryptocurrency Price Prediction with Sentiment Analysis Engineered deep learning models (Informer, Autoformer) to predict BTC/ETH prices using Twitter sentiment analysis. Achieved 64% accuracy and 25% error reduction. Deployed on AWS SageMaker with real-time inference processing 10K+ predictions daily.

Blockchain E-Commerce Platform Built decentralized platform using React, Node.js, and Solidity smart contracts. Implemented AWS infrastructure achieving 99.9% uptime and 200ms response time. Integrated MetaMask for crypto payments processing 500+ transactions.

Contact: berkay.celik@ozu.edu.tr | +90 554 548 8469 | Portfolio: berkay.cloud