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With over 15 years of experience in enterprise software and infrastructure, I specialize in Azure DevOps, full-stack development using C# / .NET Core and React, and data engineering using Microsoft Fabric, possessing expertise particularly specialized in the healthcare industry. At the intersection of cloud architecture, backend development, and enterprise data, I support healthcare organizations in modernizing legacy systems, building compliant cloud infrastructure, and delivering scalable and reliable data pipelines. I design and implement end-to-end CI/CD pipelines, microservices architectures, and cloud infrastructure based on Azure using Terraform and Bicep. On the development side, I build robust C# / .NET Core backend systems integrated with React frontends and REST APIs. In data engineering, I leverage Microsoft Fabric and Synapse Analytics to deliver enterprise-grade ETL processes and large-scale reporting solutions. My database expertise spans Oracle, SQL Server, and Azure SQL, and I possess experience in design, migration, and performance optimization. Specifically in the healthcare sector, I have extensive practical experience with HL7, FHIR, EHR system integration, and HIPAA-compliant architecture design. Clients choose to work with me because I understand both the technical and operational complexities of the enterprise healthcare environment. I provide ready-to-use, complete solutions built on security, compliance, and scalability, with every process documented. I am also open to long-term contracts and complex enterprise projects.

Senior Linux/DevOps Engineer & AI Automation Specialist Senior Linux/DevOps Engineer and AI Automation Specialist with 15+ years of experience designing, building, and scaling cloud-native infrastructure and intelligent workflow systems. My background combines deep cloud architecture expertise (AWS-focused) with hands-on experience building AI-powered automation using n8n, LLM APIs (OpenAI, OpenRouter), vector databases, and secure cloud environments. Most recently, I've led DevOps and cloud-security engineering for a U.S.-based healthcare SaaS platform (physician scheduling) operating under HIPAA and SOC 2. The work spans secure AWS operations, fleet patch management across mixed Windows/Linux estates, EKS lifecycle management, and building the security tooling and audit evidence that underpin a SOC 2 program — turning compliance requirements into reliable, automated, production-grade controls. Cloud & Infrastructure Expertise Over 12 years of AWS experience designing secure, scalable, production-grade environments across healthcare, banking, and enterprise sectors. AWS Services EC2, RDS, EKS, VPC, IAM, S3, CloudFront, Route53, Elastic Beanstalk, SQS, EFS, ElastiCache, Redshift Systems Manager (SSM), GuardDuty, Security Hub, AWS Config, Inspector, CloudTrail Infrastructure as Code Terraform & CloudFormation — multi-account secure environments ADR-driven design and Strangler Fig migration strategy Containers & Orchestration Kubernetes (EKS), Docker, ECS, Docker Swarm EKS cluster lifecycle management — Kubernetes version upgrades across dev/staging/prod CI/CD Jenkins, GitLab CI/CD, CircleCI, CodePipeline, ArgoCD GitHub Actions with ARC (Actions Runner Controller), Azure DevOps self-hosted agents GitOps & Kubernetes Configuration Management ArgoCD (declarative continuous delivery, app-of-apps pattern, multi-cluster sync), Kustomize (base/overlay structuring, environment promotion, patch management), Helm (chart authoring, versioning, values management across environments). GitOps workflows with full audit trail and rollback capabilities. Designed and operated production GitOps pipelines for EKS clusters in regulated environments. High Availability HAProxy, Nginx, Load Balancers, Heartbeat Led infrastructure teams in banking environments and designed highly available Kubernetes production systems for U.S.-based healthcare companies. Security, Compliance & Governance (SOC 2 / HIPAA) Hands-on implementation and continuous evidence for compliance programs in regulated healthcare environments. SOC 2 control implementation and evidence collection across multiple AWS accounts (logical access, audit logging, encryption, change management, patch management) HIPAA-aware architecture: least-privilege IAM, encryption at rest and in transit, end-to-end audit trails, and EDR coverage across the fleet AWS-native security stack: GuardDuty, Security Hub, AWS Config, Inspector, CloudTrail Prowler (soc2_aws framework) and Vanta (GRC) for continuous control mapping and posture monitoring AWS IAM Identity Center (SSO): MFA enforcement, permission sets, SAML federation, CC6.1 remediation EDR migration: CrowdStrike Falcon → Microsoft Defender, with continuity of endpoint protection enforced as a hard gate Immutable S3 evidence stores, fleet-wide backup-policy review, and EBS encryption rollout for compliance Multi-account delegated-administrator security posture (Security Hub / Config) Architecture Decision Records (ADRs) for traceable, auditable change governance Windows Server & Mixed-Fleet Operations Operated a ~70-instance EC2 fleet (Windows Server + Linux) plus ~35 EKS worker nodes AWS Systems Manager: Patch Manager (AWS-RunPatchBaseline), Session Manager, Fleet Manager, Run Command Established a formal monthly patch cadence; raised Windows patch compliance from a low baseline to ~84% Windows Server lifecycle / EOL planning: Server 2016 → 2022 upgrade and decommission roadmaps aligned to patch-management policy KB-level risk triage (e.g., hostname-length reboot risks on domain members) with documented remediation Active Directory domain controllers and SQL Server hosts (HA production pairs, RDS member servers, performance tuning) Safe-patch workflow with pre-patch EBS snapshots and post-reboot service validation Observability & Monitoring Datadog, New Relic, Zabbix — agent consolidation and cost optimization across EKS and production hosts Networking & Secure Access Tailscale (subnet routers, zero-trust access), VPC design, Route53, Load Balancers AI Automation & Workflow Engineering Beyond infrastructure, I specialize in AI-powered workflow automation: n8n workflow design (cloud & self-hosted) LLM integration (OpenAI, OpenRouter, local models) RAG architectures (Qdrant, vector search, embeddings) AI-driven CRM automation Intelligent document processing Automated client intake & communication systems Secure AI pipelines for regulated industries I design workflows that are secure, easy to maintain, scalable

Linux System Admin & DevOps Engineer My name is Almiñana Dario I am a expert Linux Server Administrator & PHP, Python programmer having 15+ years experience and ready to work. -- You can see my general skills below -- * Optimization Google Pagespeed, Magento, Wordpress, Drupal, Joomla and other CMS(administration, configuration, audit, optimization, little codding); * OS’s: Debian, Ubuntu, CentOS, RedHat, CloudLinux, Gentoo, FreeBSD (administration, configuration, audit, optimization); * Software Configuration Management: Salt, Ansible; * Web servers: nginx, Apache, SSL, PHP, PHP-FPM, Ruby, NodeJS, Python for all servers mentioned above.(installation, configuration, optimization); * Database servers: MySQL, Postgresql, MariaDB, Percona, MongoDB (installation, configuration, optimization, profiling); * Mail servers: Exim, Postfix, Sendmail, Zimbra, Qmail, Dovecot + Spamassassin, ClamAV; * Webhosting Administration Panels: cPanel, Plesk, VestaCP, Proxmox, ISPManager, Billmanager, VMManager, ISPConfig, DirectAdmin, webmin; * Amazon: AWS setup or Amazon tools; * Virtualization: OpenVZ, XEN, KVM, VMWare, VirtualBox, Docker; * Load balancing via: HAproxy, Nginx, PowerDNS, BIND; * System Backup and Restore automation; * Network services: dns (bind, powerdns), vpn (mpd, pptpd, openvpn), firewalls (iptables, ipfw), file server (samba3/4), proxies (squid, 3proxy, privoxy, nginx), drbd, Ceph, GlusterFS, lsyncd; * Monitoring: Zabbix, Munin, Nagios, Icinga; * FTP: Vsftp, Pureftp, Proftp. * Providers I use: Vultr, DigitalOcean, Linode. Google cloud, Rackspace, GoDaddy, Hetzner, AWS (Amazon Web Services) such as: EC2, Elastic * * Beanstalk, ECS, Auto Scaling, ELB, RDS, VPC, S3, Cloudfront, CloudWatch, IAM, SNS, SES, SQS, Route53, etc. * Other services I am working with: Cloudflare, Namecheap, Godaddy, Docker, TravisCI, Ansible, CodeCov * Source Code Management Systems I prefer: Gitlab, Github, Bitbucket * Automation: Chef, Puppet, Ansible

I am a 𝑩𝒂𝒄𝒌𝒆𝒏𝒅 & 𝑫𝒆𝒗𝑶𝒑𝒔 𝑬𝒏𝒈𝒊𝒏𝒆𝒆𝒓 🚀 specializing in building scalable, secure, and cloud-native systems using modern technologies like GoLang, Node.js, AWS, Azure, Docker, and Kubernetes. I help startups and companies design, build, and optimize high-performance backend systems and fully automated DevOps pipelines that improve speed, reliability, and cost efficiency ☁️⚙️ 💡 𝐖𝐡𝐚𝐭 𝐈 𝐃𝐞𝐥𝐢𝐯𝐞𝐫: • High-performance backend systems using GoLang & Node.js • Cloud infrastructure on AWS & Azure • Containerized applications using Docker & Kubernetes • Fully automated CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI) • DevSecOps practices (security, IAM, secrets management) • Monitoring & observability (Prometheus, Grafana, OpenTelemetry) 📈 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐈𝐦𝐩𝐚𝐜𝐭 𝐈 𝐂𝐫𝐞𝐚𝐭𝐞: • Reduce deployment time by 70%+ with automation pipelines • Optimize cloud costs by 30–40% through infrastructure tuning • Improve system uptime to 99.9%+ reliability • Reduce API latency by 40–60% with optimized backend architecture • Enable teams to ship features faster with zero manual deployment effort 🧱 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞: I design and build robust backend systems using: • GoLang (high-performance microservices & APIs) • Node.js (scalable REST & GraphQL APIs) • Python (automation & backend services) • PostgreSQL / MongoDB / Redis • Event-driven architecture (Kafka, RabbitMQ, Webhooks) ☁️ 𝐃𝐞𝐯𝐎𝐩𝐬 & 𝐂𝐥𝐨𝐮𝐝 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞: • AWS (EC2, S3, Lambda, RDS, ECS, CloudWatch) • Azure (App Services, VMs, DevOps Pipelines) • Kubernetes (Helm, scaling, orchestration) • Docker containerization • Terraform (Infrastructure as Code) • CI/CD automation (GitHub Actions, Jenkins, GitLab CI) • Linux server administration & Nginx 🧠 𝐇𝐨𝐰 𝐈 𝐖𝐨𝐫𝐤: I follow a clean architecture + automation-first approach: – Build modular and maintainable systems – Automate everything from build → test → deploy – Design for scalability under real production traffic – Implement security-first DevSecOps practices – Ensure full system observability and monitoring 🤝 𝐖𝐡𝐲 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 𝐇𝐢𝐫𝐞 𝐌𝐞: 🔹 Clear communication & fast response 🔹 Strong ownership from development to production 🔹 Focus on measurable business impact 🔹 Experience with real-world scalable systems 🔹 Reliable delivery with production-ready code 📩 𝙇𝙚𝙩’𝙨 𝘽𝙪𝙞𝙡𝙙 𝙎𝙤𝙢𝙚𝙩𝙝𝙞𝙣𝙜 𝙎𝙘𝙖𝙡𝙖𝙗𝙡𝙚 If you need a Backend & DevOps Engineer who can design, build, and scale your infrastructure using GoLang, AWS, Azure, and Kubernetes, I’m ready to help. Let’s turn your system into a fast, scalable, and fully automated production-grade platform 🚀

Help to Build Next-Gen Apps: Cases Study: Istio & K8s (2022) | AWS(2018/2019/2022) | Krakend(2022) PROFESIONAL PROFILE [Technology specialist, good skills in technologies based in AWS, Linux, Vmware, Microsoft, Cisco, Docker, Jenkins, Kubernetes, ECS, Ansible, Gitlab , Terraform, etc. Networking Skills: Fortinet , Vyatta , Edgemax, Mikrotik, Sonicwall, Cisco, Avaya. I have a good experience in Implementations and Projects. Strong orientation in objectives. I Worked with diferrent projects of small and big size companys with different customers and bussiness. Planification, Design, Implementation and documentation by the different technologies. Also, I worked in manage projects with the customer using methodologys agile as SCRUM.] GOALS I grow as a professional and become a technological reference in the region. TECH Infrastructure microservices: Docker/Kubernetes (dockerfile ,compose, overlay, swarm ) K8s: (Deployment, Rc , LoadBalancer , Svc , Pv, Pvc , SSL) Monitoring k8s: Grafana/influxdb/heapster, Nagios, PRTG, Centreon Monitoring Tools: Sensu, Grafana,New Relic ,CW,OpsGenie,Influx, Telegraf , Datadog. Cloud Platform: Amzn EC2, ECS, CloudFront , S3, Lambda,ELB , ALB , ASG, IAM, RDS, Dynamodb,IAM,vpc,route 53, ElasticCache, ElasticSearch. Linux Systems: Amzn Linux/CentOS/Fedora/Debian/Ubuntu/RHEL Platforms. Productive Databases: RDS (Mysql) DynamoDB. Tools CI/CD: CircleCI , Rundeck. , Jenkins, Gitlab. Cloud Automation Tools: Ansible. CDN: Cloudflare, varnish , Maxcdn, Cloutfront. IaC: Terraform, Cloudformation. Code versioning: Github , Bitbucket. Containers: Docker, Dockerfile, Docker-Compose, ECR, DockerHUB. Scripting: bash, perl , python. Web Servers : Apache, Nginx, Squid . / Manage Wordpress and Drupal Sites Cloud Building IaaS, SaaS, PaaS Networking: DHCP, DNS, vlans, routers, switching Load Balancing, QOS, DSTNAT-SRC-NAT, Routing Static Recursive, LACP ,Bonding, Radius, IPSEC, PPTP, L2TP, OPENVPN, SPANNING TREE, DHCP SNOP. Swichts: Catalyst 3750x, Cisco 3560, Cisco 2960 ,Avaya 4548GT-PWR , Ubiquiti EgdeMax, Mikrotik. Manage of Firewalls Routing/Security: SonicWALL, PFSENSE, KerioControl, Fortinet, Mikoritk . (Load Balance, Routing Advanced Recursive, SSO, Radius , Mangle, QOS , Proxy, PPTP, L2TP, VLANS,ETC) Microsoft: Windows Server 2012 R2, W.Server 2008 R2, W.Server 2003(ADDS, DHCP, DNS, FTP, DFS,IIS, IIS-ARR,Hyper-V). Storage/San: Ibm EXN4000, Ibm DS3200, EMC CX, QNAP, FreeNas, Ceph Storage. Servers : Sparcs, HP Proliant, Bladecenter E hs22, Bladecenter HP, Dell R7, Dell R900, Supermicro. Virtualizacion: Vagrant, ESXi, vCenter , VuM , DRs , Resource Pool , FT, QEMU, KVM , Proxmox, Hyper-V Clusters. Backup Tools: W.Server Backup, VeeM Backup, v.Data Protection.

Hello! I'm a Senior DevOps Engineer with 5 stars in Upwork, and a 100% success rate (more than 7,500 worked hours). I love to work as a part of a team communicating in a friendly and constructive way. I have large experience building high-availability and high-scalability systems for big companies, mostly based on Kubernetes (multi-cluster, multi-region, active/active setups) I'm using Kubernetes since 2015 (since it reached version 1.0). Most of my experience during recent years is based on EKS clusters, but also deployed Kubernetes in other clouds and on-prem (using K3s and RKE2). I have created the infrastructure from scratch for big companies in Europe and the U.S. (in different sectors like health services, videogames, advertising, data processing, web software, etc). I follow the GitOps philosophy (my preferred tool is ArgoCD) to deploy multi-cluster applications (where services run in multiple production clusters for maximum availability). This is much better than deploying prod apps in a single cluster. Also, we can use a service mesh to have robust networking. Also, I take security very seriously. To reduce the attack surface, I only expose prod services to the Internet. The rest of the services (including test apps) are only available using a centralized VPN (deployed in Kubernetes). All internal services use SSO, including access to the clusters by developers (using kubectl or other clients). I can also deploy a policy engine system (like Kyverno) to enforce some security rules. I never use IAM keys, they are not ideal, all access is granted through the use of IRSA roles. On the development side, I like to use Argo Rollouts to deploy prod versions gradually (using Canary releases). This also reduces the number of users that can be affected by a bug. And of course, we can create several development environments (dev, qa, etc) On the observability side, I can provide centralized logging, monitoring, tracing, and alerting, using open-source, enterprise-grade solutions (properly integrated). Another important area is the reduction of costs by creating efficient infrastructure. Normally I try to use ARM instances in all clusters (if possible, depending on the app requirements), performing AWS reservations to save money and using tools like Karpenter to have a higher density in the nodes usage. I have much more to say, so let's have a meeting.