👋 I am a Certified Multicloud DevOps Engineer, Cloud Engineer, SRE, and Platform Engineer with 15+ years of experience designing, deploying, and managing secure, scalable infrastructure for enterprises, startups, and regulated industries like finance, healthcare, and e-commerce 🔥 WHY HIRE ME AS A DEVOPS ENGINEER? - 15+ years of hands-on experience as a Multicloud DevOps Engineer, Cloud Engineer, SRE and Platform Engineer - 300+ projects delivered for 200+ clients across finance, healthcare, e-commerce and startups - 17 completed Upwork contracts, 90% Job Success, 753+ hours, $30K+ earned on this platform alone - Cut deployment times by 82% through custom CI/CD automation across hybrid-cloud environments - 99.99% uptime achieved, cloud spend cut by 37% via optimized Kubernetes autoscaling (EKS/AKS/GKE) - Led a cloud transformation saving $2M+ annually, accelerating delivery 5x - Zero-downtime releases with 10x faster rollouts (Jenkins, GitLab CI, GitHub Actions, Argo CD) - MTTR improved by 42% via centralized observability (Grafana, Prometheus, ELK, Datadog) - 200+ sites migrated with zero downtime, 500+ nodes patched and hardened - Latency reduced by 52% via reverse proxy caching and CDN integration - 10+ professional certifications: AWS DevOps Engineer Professional, GCP Cloud Architect, Azure Solutions Architect Expert, and more 💪💪 SKILLS & ACHIEVEMENTS 👉 Programming Languages Applied across automation, infrastructure workflows, and backend integrations in enterprise CI/CD pipelines: Bash, Python, YAML, PowerShell – scripting and orchestration of distributed systems. Golang, TypeScript, JavaScript – building CLI utilities, microservices, and dashboards. SQL – database scripting and performance optimization for PostgreSQL, MySQL. Key Result: Cut deployment times by 82% through custom automation scripts across hybrid-cloud environments. 👉 Infrastructure as Code (IaC) Delivered multi-cloud infrastructure for Fortune 500 organizations: Terraform, Ansible, Puppet, AWS CloudFormation, AWS SAM, ARM Templates. Key Result: Achieved full disaster recovery readiness and cross-region scalability with Terraform and Ansible. 👉 Containerization and Orchestration Implemented microservices at scale via Kubernetes (EKS, AKS, GKE): Docker, Kubernetes (all providers), OpenShift, Azure Service Fabric. Key Result: Reached 99.99% uptime and reduced cloud spend by 37% through optimized autoscaling strategies. 👉 Cloud Platforms and Services Architected and secured global hybrid-cloud infrastructures: AWS (core focus): enterprise-grade deployments for healthcare, finance, retail. Azure: DevOps pipeline integrations with AD. GCP: Implemented GKE and BigQuery for large-scale data solutions. Key Result: Led a cloud transformation cutting costs by $2M+ annually and accelerating delivery 5x. 👉 DevOps Tools and Practices Engineered CI/CD pipelines, GitOps workflows, and release automation: Jenkins, GitLab CI, GitHub Actions, Bitbucket Pipelines, Argo CD, Octopus Deploy. Key Result: Delivered zero-downtime deployments and enabled 10x faster production rollouts. 👉 Monitoring and Observability Built end-to-end observability stacks: Grafana, Prometheus, ELK, Datadog, Zabbix, CloudWatch. Key Result: Improved MTTR by 42% through central log management, alerting, and tracing. 👉 Databases and Storage Engineered high-availability and cloud-native database solutions: MySQL, PostgreSQL, MongoDB, DynamoDB, Redis, Cassandra. Key Result: Migrated legacy DBs with zero data loss and achieved 62% performance uplift. 👉 Operating Systems & SysAdmin Large-scale administration of Unix/Linux systems: Ubuntu, CentOS, Debian, Cloud Linux, Windows Server. Key Result: Automated patching across 500+ nodes and hardened OS security to CIS standards. 👉 System Administration & Hosting Maintained enterprise-scale hosting platforms: cPanel, WHM, Cyberpanel, Plesk, HAProxy, Email Servers. Key Result: Migrated 200+ sites with no downtime, tripling load-balancer efficiency. 👉 Web Servers & Application Platforms Scaled and optimized business-critical applications: Apache, Nginx, Tomcat, WebSphere, JBoss. Key Result: Reduced latency by 52% via reverse proxy caching and CDN integration. 👉 Frameworks & Libraries Supported DevOps workflows as a Full Stack Developer: React, Angular, Next.js, Spring Boot, GraphQL. Key Result: Delivered CI pipelines for frontends and serverless backend deployments. 👉 DevOps Engineer - Security & Authentication Secured regulated infrastructures (PCI, HIPAA): Keycloak, Azure, Cognito, OKTA, Firewalls, Fail2ban. Key Result: Built centralized SSO and conducted security audits with advanced threat modeling. 📩 Want to take your cloud infrastructure to the next level? Send me a message — and together we'll turn your vision into reality.

As an ambitious DevOps Engineer with 3+ years of hands-on experience, I prioritize ethics above all else. Proficient in a diverse range of DevOps technologies, including Docker, Github, Jenkins, AWS cloud, Kubernetes, Helm Charts, Service Mesh, Terraform, and Ansible. My expertise extends to managing Zero Downtime Kubernetes Clusters, optimizing AWS infrastructures for cost efficiency, and implementing robust Disaster Recovery strategies. I believe every individual is not only responsible for his work, but for the collective growth of his team as well.

I help organizations build scalable, secure, and cost-efficient cloud platforms. With hands-on expertise in AWS, Kubernetes, microservices, CI/CD, and Infrastructure as Code, I transform complex infrastructure challenges into reliable, automated solutions. My core strengths include: - Cloud architecture design and review - Kubernetes and container orchestration - CI/CD automation and DevOps transformation - AWS cost optimization and resource governance - Security assessments and infrastructure hardening - Observability, monitoring, and reliability engineering - Scalability, performance tuning, and disaster recovery Tech Stack and Tools: AWS, Terraform, Terragrunt, Kubernetes, Helm, GitHub Actions, GitLab CI/CD, Jenkins, ArgoCD, Prometheus, Grafana, CloudWatch etc.

DevOps engineer with 4 years of experience skilled in IaC, CI/CD pipelines, virtualization, databases, and automation Proficient in designing and deploying cloud-based architectures on Kubernetes Focused on building stable, scalable, and properly monitored infrastructure.

Hi, I’m Kseniya - I help teams make cloud infrastructure cleaner, and easier to trust. 👋 I’m a DevOps Engineer / Software Architect with over 7 years of experience in cloud infrastructure, CI/CD, Kubernetes, Terraform, automation, and Java / Spring Boot systems. My path into DevOps Engineering started from backend development. I worked as a Java / Spring Boot and Full Stack Developer, and I kept seeing the same problems: stressful releases, different environments, unclear cloud costs, noisy monitoring, and production systems nobody wanted to touch on Friday. That moved me deeper into AWS DevOps, Azure DevOps, DevOps GCP, DevOps Kubernetes, CI/CD, Terraform, Kubernetes, Docker, and reliability. 🛠 What I usually help with I work with AWS, Azure, GCP, Kubernetes, Terraform, Docker, Helm, Ansible, CloudFormation, Azure DevOps, GitLab CI, Jenkins, CircleCI, Python, Bash, PowerShell, Prometheus, Grafana, ELK, Zabbix, CloudWatch, PostgreSQL, Java, Spring Boot, and REST APIs. A lot of my work is practical DevOps Engineering: setting up CI/CD pipelines, moving apps to the cloud, containerizing services, building Kubernetes clusters, writing Infrastructure as Code, improving cloud storage, fixing deployments, reducing cloud costs, and making monitoring useful. As an AWS Architect and AWS DevOps Engineer, I work with AWS DevOps, VPC, EC2, RDS, IAM, Route 53, CloudFront, Lambda, SSM, EBS, EFS, CloudTrail, AWS CDK, CloudFormation, security, backups, networking, and cost optimization. As an Azure DevOps Engineer, Azure Cloud Engineer, and Azure Administrator, I help with Azure DevOps pipelines, Azure VMs, Functions, Blob Storage, Cosmos DB, access control, deployment automation, and environment cleanup. As a GCP DevOps Engineer and DevOps GCP specialist, I help teams run apps on Google Cloud, automate deployments, set up monitoring, and keep infrastructure easier to maintain. ☸️ Kubernetes and production work I’ve worked with Docker, Docker Compose, Kubernetes, Helm, and DevOps Kubernetes setups for Java/Spring Boot, web, and mobile apps. As a Kubernetes Engineer, I focus on what makes production stable: clean deployments, resource limits, secrets, logs, health checks, rollback, autoscaling, and release steps. I don’t like infrastructure that only one person understands. Good infrastructure should be repeatable, visible, documented, and safe to change. 🧠 Architecture and consulting Sometimes clients come to me as a Cloud Engineer. Sometimes they need a Solution Architect, Software Architect, System Architect, Enterprise Architect, Software Consultant, Data Engineer, DevOps Engineer, AWS Architect, AWS DevOps DevOps Architect, Kubernetes Engineer, Cloud Engineer, Azure Cloud Engineer, AWS DevOps Engineer, Azure DevOps Engineer, or GCP DevOps Engineer who can look at whole picture. I can help answer questions like: • Should this stay on VMs or move to Kubernetes? • What should be automated first? • Why are cloud costs growing? • Where is the deployment process risky? • What should we monitor before the next incident? • How should environments, secrets, cloud storage, and access be organized? I don’t suggest Kubernetes if Docker Compose is enough. I don’t create a complex Terraform structure when the team needs something simple. 🚨 My approach to incidents When production breaks, I stay calm and focus on recovery first. After the service is stable, I look for the real reason: missing metrics, weak alerts, bad deployment steps, manual cloud changes, poor IAM permissions, slow queries, memory problems, unstable CI/CD, or infrastructure that grew without a clear plan. Every incident should leave the system a little better than before: better logs, better alerts, better rollback, better documentation, and less guesswork next time. ✅ I’m a good fit if you need help with • AWS DevOps, AWS architecture, AWS migration • Azure DevOps, Azure infrastructure, Azure Administrator tasks • GCP, DevOps GCP, Google Cloud deployment automation • Kubernetes, DevOps Kubernetes, Docker, Helm • Terraform, CloudFormation, Ansible, Infrastructure as Code • CI/CD pipelines and deployment automation • Cloud storage, backups, access control, IAM, secrets • Monitoring, logging, alerting, incident response • Cloud cost optimization across AWS, Azure, and GCP • Java / Spring Boot deployment automation • Infrastructure audit, security audit, production cleanup • Architecture review for SaaS, mobile, web, and enterprise systems I understand how apps behave inside infrastructure due to a strong backend experience: database connections, API latency, memory usage, logs, queues, background jobs, and failed deployments. That helps me work better with developers. If your team is tired of manual releases, unclear cloud costs, unstable Kubernetes, messy DevOps, or production issues that keep coming back, I can help you build a cleaner setup. ⚠️ Invite me to your project - I’ll be happy to take a look and suggest the first practical steps.

Experienced DevOps Engineer with 8+ years building self-running, secure, AI-augmented cloud platforms. I specialize in designing autonomous infrastructure where AI enhances reliability, security, and operations—not just dashboards. What I deliver AI-Powered DevOps & SRE AI-assisted monitoring, anomaly detection, and incident triage AI SRE agents for proactive remediation and capacity insights Intelligent alerting, noise reduction, and root-cause analysis Zero-Trust & Identity-First Architecture Zero-Trust access using Teleport Centralized SSO across infrastructure, CI/CD, and platforms Secure, auditable access for humans and workloads Autonomous Platform Engineering GitOps-first delivery with Argo CD as the single CD source of truth Self-healing and auto-scaling environments High availability, fault tolerance, and security by design AI-Aware Infrastructure as Code Centralized Terraform architectures Environment auto-provisioning, drift detection, and policy enforcement Cloud-agnostic designs (AWS, GCP, Azure) Operational Intelligence & Incident Automation Integrations with Rootly, Dashy, and observability stacks Automated incident workflows and runbooks Real-time visibility with AI-assisted insights Core Technologies AI & Media: AWS Media Services, ElevenLabs, Speechify CI/CD: GitHub Actions, Argo CD, Jenkins, GitLab CI, Azure DevOps, CircleCI IaC: Terraform, AWS CDK, CloudFormation Containers: Kubernetes, Docker, OpenShift, Podman Observability: Prometheus, Grafana, Datadog, New Relic, ELK/EFK, Splunk Security: OWASP ZAP, Kubernetes Benchmarks, Zero-Trust models Automation & Scripting: Python, Bash, TypeScript, Ruby, PowerShell Bonus Cloud marketplace listings (AWS, GCP, Azure) Cross-platform expertise (Linux, macOS, Windows) B.Sc. in Software Engineering

I am a hardworking and detail-oriented person with good communication skills and appropriate educational and working background. I am a very goal-motivated engineer and will integrate with any project in strict deadlines by showing excellent final results that meet the client's needs and requests. I have 6+ years of experience in DevOps Thanks in advance for choosing me). Best Regards, Samvel I.

● DevOps engineer with 3+ years of experience, specializing in cloud infrastructure automation and deployment. ● Solid practical understanding of Azure Cloud and Terraform, with hands-on experience in deploying and managing infrastructure using Azure Kubernetes Service (AKS), Azure Pipelines, and Terraform. ● Solid command of Python to drive automation and enhance the efficiency of IaC deployments.

DevOps Engineer with 4 years of hands-on experience in orchestrating seamless integration between development and operations. Proficient in AWS, GCP, and Azure cloud environments, implementing robust CI/CD pipelines and automation solutions. Adept at optimizing infrastructure, enhancing scalability, and ensuring high availability. Passionate about leveraging technology to streamline processes and drive continuous improvement in software delivery.

Are your deployments slow, breaking at the worst moments, or costing more than they should? Is your team spending hours on manual releases instead of shipping features? If your CI/CD pipelines are fragile, your Azure infrastructure is growing out of control, or your DevOps processes exist only on paper, you are dealing with a problem that will not fix itself. I am a DevOps Engineer and Azure Architect with 10+ years of experience helping product teams and growing companies build cloud infrastructure that actually works. Whether it is a startup scaling fast or an enterprise team drowning in legacy pipelines, I come in, assess the real state of things, and build systems that are stable, automated, and cost-efficient. My primary expertise is Microsoft Azure and Azure DevOps, end to end. That means everything from designing multi-stage Azure DevOps pipelines and managing releases without downtime, to setting up Azure DevOps RBAC, securing environments, and integrating Azure DevOps with Kubernetes clusters running on AKS. I have built Azure DevOps workflows for teams of 5 and teams of 150, and the approach scales both ways. Every Azure DevOps implementation I deliver is built around real business goals, not just tooling checkboxes. Beyond Azure DevOps, I work across the full infrastructure stack. I design Cloud Architecture using Terraform for Infrastructure as Code, manage containerized workloads with Kubernetes and Docker, and implement Deployment Automation that removes human error from the release process. For data-heavy projects, I build pipelines with Azure Data Factory to handle ETL, orchestration, and integration between services. For teams building decentralized or blockchain-integrated solutions, I have worked with Azure Blockchain Service as part of broader Microsoft Azure infrastructure setups, combining it with the same security and governance standards applied across all environments. As an Azure Architect, I cover Cloud Computing governance, cost optimization, and FinOps practices, so your Azure bill reflects actual usage, not waste. I apply the same structured thinking to Network Security, Linux and Windows Server environments, and multi-cloud setups when needed. When projects require Amazon Web Services, I bring the same DevOps standards to AWS, including AWS DevOps pipelines, CI/CD automation, and infrastructure managed through Terraform. I also work with Google Cloud Platform for teams running workloads across multiple providers. AI Automation is a growing part of what I do. As more teams start integrating AI into their products and workflows, I help them connect those AI components to production infrastructure properly, with reliable pipelines, automated testing, and deployment flows that treat AI workloads the same way as any other service. I also collaborate closely with full stack developer teams to improve release processes, deployment reliability, and infrastructure scalability, making sure the gap between development and operations is as small as possible. What clients usually need help with: ✔ Stabilizing Azure DevOps pipelines and deployment workflows ✔ Building scalable Kubernetes infrastructure ✔ Migrating legacy infrastructure to Microsoft Azure ✔ Reducing cloud costs and improving DevOps efficiency ✔ Designing secure Cloud Architecture for growing products ✔ Automating deployments with Terraform and CI/CD ✔ Improving monitoring, security, and infrastructure reliability ✔ Implementing AI Automation into existing delivery workflows The full technology range I work with includes: Azure DevOps, Microsoft Azure, Amazon Web Services, Google Cloud Platform, Kubernetes, Docker, Terraform, Ansible, CI/CD, Git, SQL, Python, Linux, Windows Server, Azure Data Factory, Azure Blockchain Service, Cloud Architecture, Deployment Automation, Network Security, and more. Certifications: ✅ 8x Microsoft Azure Certified ✅ Kubernetes Certified ✅ Terraform Certified If your infrastructure needs structure, your pipelines need reliability, or your cloud costs are climbing without clear control, send me a message here on Upwork. Describe the situation and I will come back with a clear breakdown and concrete next steps.