Career Objective - " Kaizen" - This Japanese word, meaning 'continual improvement', sums up my career objective. Which is to constantly expand and enhance my knowledge, skills and abilities so as to benefit the organization through an improvement in self-performance. Work experience - 11+ years Technical Skills * OS: Linux RHEL, Ubuntu Server * Public Cloud: AWS, Azure * Containerization: Docker, Kubernetes, EKS, ECS, AKS, Helm, ArgoCD * Development: Python(Flask) for REST API development * Configuration management: Puppet, Ansible * Infrastructure Automation: Terraform, Terragrunt, Packer, AWS Cloudformation * Deployment tool: Jenkins, Github actions, Gitlab CI, ArgoCD * Monitoring & Logging: Nagios, Sensu, Pagerduty, Prometheus and Grafana * Databases: MySQL, PostgreSQL, MongoDB * Scripting: Python, Shell Soft skills * Managing clients and communication with different stakeholders/clients

I am a DevOps and cloud infrastructure engineer with over 20 years of experience in designing and optimizing large-scale enterprise systems. My background includes working with renowned organizations on complex SAP landscapes and multi-database architectures. Recently, I have focused on modern DevOps practices for AWS and GCP, utilizing container technologies like Docker and Kubernetes to streamline deployment processes. I excel in creating efficient CI/CD pipelines with tools such as Jenkins and GitHub Actions, as well as deploying Infrastructure as Code solutions using Terraform and CloudFormation. My expertise also covers a variety of database systems including PostgreSQL and Oracle. If you're searching for a seasoned professional who can enhance your cloud infrastructure and implement scalable solutions, I am here to bring your projects to fruition. Let's discuss how I can contribute to your success.

 Work closely with solution architects to migrate client’s infrastructure from on-premise to Cloud and implement CI/CD for their web applications.  Automating deployment of new releases from source repositories like bitbucket to different environments using Continues Integration tool Jenkins and Deployment Tool Code Deploy.  Execute day-to-day deployments to staging or production.  Creating and Managing AWS instances cloud services Including EC2, Route53, S3, RDS, IAM, VPC, ELB, EBS, Auto Scaling, and Cloud watch.  Troubleshoot issues on Dev, Stage, and Prod environment.  Configuration of the AWS cloud management; Configure and fine-tune the cloud infrastructure systems; monitoring and managing cloud services carefully.  Improvement of resources and work on the resources which will designate costs required for planning of governance, budgeting, and reporting.  Upgrading software, patching the kernel and errata patching; managing the disaster recovery and creating the data backups  Work closely with solution architects to migrate client’s infrastructure from on-premise to Cloud and implement CI/CD for their web applications.  Automating deployment of new releases from source repositories like bitbucket to different environments using Continues Integration tool Jenkins and Deployment Tool Code Deploy.  Handle incident and parameters changes that are reported from monitoring systems or monitoring teams.  Post-incident investigations and prepare RCA reports documenting root cause of incidents and corrective actions to prevent a recurrence.  Create the infrastructure on AWS or Digital Ocean based on the requirements.  Proactively ensure the highest levels of system and infrastructure availability with load balancing and autoscaling. Shape and expand our high-load platform in the cloud.  Develop and implement high-quality security concepts in the cloud. Implemented centralized logging for audit and access logs using s3 and CloudWatch logs.  Analyze and test application performance for potential bottlenecks, identify possible solutions, and work with developers to implement those fixes.  Implemented monitoring tools such as CloudWatch for infrastructure monitoring and Grafana and Site24*7 for application monitoring. Also implemented ELK stack for analyzing logs.  Resolve and close tickets that are raised by clients related to infrastructure issues and the Newrelic monitoring tool related to downtimes in the JIRA ticketing tool.  Managing web servers Apache/Nginx and tomcat. Tracking, updating, and terminating SSL certificates at server level as well as Load balancer level.

I am DevOps Engineer with a demonstrated history of working in the information technology and services industry. I am skilled in Unix/Linux, Networking, Windows Servers, Cloud systems (Azure, AWS), CI/CD Pipelines, Kubernetes/Docker Skills: -Linux, Windows server’s installation, configuration and maintenance. -Solid experience with Terraform -Monitoring systems (NewRelic, Datadog) -Good experience with cloud services (AWS, Microsoft Azure) -Good experience with Kubernetes/Docker, Gitlab/Azure Devops, CI/CD Pipelines -Good experience with Azure AKS, Container Registry, SQL databases, App insight, App services, Key vaults, Storage accounts -Good experience with Servers security installation, configuration and maintenance

I am a Senior Site Reliability Engineer with over six years of experience focused on integrating reliability into the software lifecycle across Azure, AWS, and GCP clouds. I excel at collaborating with engineering teams to ensure high availability and resilience, achieving 99.9%+ uptime on mission-critical financial platforms. My expertise includes Dynatrace observability, SLI/SLO ownership, and root cause analysis, enabling me to implement effective preventive measures and streamline incident management. I am skilled in building resilient architectures with circuit breakers and bulkheads, ensuring your systems can scale and recover efficiently. If you seek a professional who can enhance your application's reliability and performance, let's discuss your project and how I can contribute to its success.

Kubernetes, Terraform, and cloud infrastructure are the core of the production systems I build, stabilize, and scale. I specialize in Platform Engineering, MLOps infrastructure, and DevSecOps for FinTech, AI-native companies, and regulated enterprises. Environments where downtime is not an option and infrastructure debt has real business cost. 9 years of experience. Production systems. Real results. WHAT I DELIVER: - P99 inference latency reduced 70% on a live ML platform serving 5,000+ users - no hardware scaling, pure architecture redesign - CI/CD rebuild: 40-min deploys cut to 8 minutes. 40+ reusable Terraform modules cut provisioning from 4 hours to 45 minutes - 12 legacy banking applications containerized and made PCI DSS audit-ready - 99.8% uptime maintained across production ML workloads with full-stack observability (Prometheus, Grafana, ELK, Sentry) - Ansible CIS hardening across 80+ servers - 95%+ compliance, ISO 27001 audit-ready - Reverse-engineered and fully documented a 15-year undocumented airport operational system (Prague Airport CAODB) - eliminated single point of failure, 150+ production tasks mapped for the first time TECHNICAL CORE: Kubernetes (EKS, GKE, AKS), Terraform, Helm, AWS, GCP, Azure, GitLab CI, GitHub Actions, MLflow, KServe, Prometheus, Grafana, ELK, HashiCorp Vault, Ansible, PCI DSS, ISO 27001, CEH v12 I work across the full platform lifecycle: architecture, automation, observability, security hardening, and incident response. I document everything - Git-versioned specs, Mermaid architecture diagrams, runbooks - so your team is never dependent on one person. IDEAL PROJECTS: FinTech and Banking infrastructure needing PCI DSS or ISO 27001 compliance. AI and ML teams whose inference platforms are hitting SLA limits. SaaS platforms scaling on Kubernetes. Companies migrating legacy systems to containers. Teams with broken or manual CI/CD pipelines. If your infrastructure needs to be more reliable, automated, and production-ready - let's talk.

Experienced Engineer specializing in Cloud Computing, Kubernetes, CI/CD, observability, scaling and high availability, security, infrastructure-as-code and contributing to open source.

Site Reliability Engineer with 3 years of experience as a consultant and team member on diverse projects within the banking and financial sector. Technical Proficiencies: Expert in Site Reliability Engineering (SRE), DevOps, AWS, Cloud Computing, Infrastructure as Code (IaC), Terraform, Docker, Kubernetes, HELM, CI/CD, Jenkins, GitHub Actions, GitLab CI, Pipelines, Chaos Engineering, Automation, Logging, Metrics, APM, Tracing, Grafana, Prometheus, Zabbix, AppDynamics, Splunk, Jaeger, Datadog, NGINX, Linux, Shell & Bash scripting, C/C++, Python, Java, REST, SOAP, Microservices, Spring Boot, SQL, NoSQL, Kanban, Agile Methodologies, UML, LGPD, GDPR, and Security protocols.

With over 10 years of experience in DevOps and cloud infrastructure, I specialize in managing large-scale systems using Kubernetes, OpenStack, and Ceph. I have led successful automation and optimization projects, reducing workloads by 40% and improving system recovery times by 50%. I’m confident that my skills in cloud management, automation, and CI/CD will bring value to your needs

If your infrastructure is slowing down your product or your team is spending more time firefighting than shipping. I can fix that. I am a DevOps Engineer and Site Reliability Engineer (SRE) with 4 years of hands-on experience designing, automating, and securing cloud-native infrastructure that scales. I work with engineering teams and CTOs who need production-grade systems built right the first time not patched together under pressure. My work isn't just about spinning up servers or writing pipelines. It's about reducing your mean time to recovery, cutting cloud spend without sacrificing performance, eliminating deployment risk, and giving your team the observability to sleep at night. Whether you're migrating to the cloud, stabilizing a shaky production environment, or building a DevSecOps culture from scratch. I bring the architecture thinking and hands-on execution to get it done. Cloud Platforms: AWS (EC2, ECS, EKS, RDS, Aurora, Lambda, VPC, ALB, Route53, IAM, CloudWatch, Secrets Manager, ECR) | Microsoft Azure (AKS, Azure DevOps, Azure Monitor, Azure Networking, Azure VMs) Infrastructure as Code: Terraform, Ansible Containers & Orchestration: Kubernetes (EKS, AKS), Docker, Helm CI/CD Pipeline Automation: GitHub Actions, GitLab CI/CD, Jenkins fast, secure, zero-downtime deployments Observability & Monitoring: Prometheus, Grafana, ELK Stack, CloudWatch, Azure Monitor full-stack visibility and alerting DevSecOps: SonarQube, IAM hardening, secrets management, vulnerability scanning, compliance-ready pipelines Linux & Networking: Advanced Linux administration, Nginx, Redis, PostgreSQL, VPC design, DNS, load balancing. If you need a DevOps engineer or SRE who can own infrastructure end-to-end from architecture decisions to day-two operations. I'm available for both project-based and ongoing engagements. Send me a message describing your current setup and what's not working. I'll give you an honest assessment and a clear path forward.