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I build infrastructure that stays up when it matters. Government platforms for 2M+ citizens, banking systems for 1M+ users, and AI rendering stacks on GPU Kubernetes clusters. Shipped on time, documented for the team that inherits it. 5+ years owning the full stack: physical hardware, hypervisors, Kubernetes, service mesh, cloud networking, CI/CD, observability, and GPU AI workloads. Across government, fintech, SaaS, and deep-tech startups. Government Scale — OpenG2P Ethiopia, 3 Ministries Leading platform engineering for Ethiopia's national OpenG2P welfare system across ATI, MoWSA, and EDRMC. Serving 2M+ beneficiaries on RKE2 with Rancher, Istio mTLS, Keycloak SSO, WireGuard site-to-site VPN, XCP-ng hypervisor with Hardware RAID 1+0, and a full Prometheus + Grafana + Alertmanager + Loki observability stack. Currently executing a large-scale ODK to OpenG2P data migration with schema mapping, validation pipelines, audit trails, and phased rollback. AWS Serverless Architecture — WeTruck Architect and operator of WeTruck's serverless logistics platform. CloudFront to ALB to WAF (deny-by-default with Telebirr payment gateway IP whitelisting) to Lambda (FastAPI via Mangum). Fully Terraformed infrastructure. GitHub Actions with OIDC federation (zero long-lived credentials), RDS PostgreSQL, DynamoDB for JWT token store, SQS with dead-letter queue, Secrets Manager, AWS Amplify for three Next.js frontends (back-office, transporter, shipper), and Route 53 private/public DNS. I own production incidents end-to-end and authored the full deployment runbook and troubleshooting playbook. AWS in daily use: Lambda, EC2, EKS, CloudFront, ALB, WAF, RDS, DynamoDB, SQS, Secrets Manager, Amplify, ECR, Route 53, IAM OIDC, VPC (private subnets, NAT Gateway, VPC endpoints), CloudWatch, ACM. MPLS and AI Rendering Infrastructure — MetaPlux (Tech Lead) Tech Lead on a distributed GPU-aware AI rendering platform. MPLS networks for deterministic, low-latency routing across distributed rendering nodes with label-switched paths and traffic engineering for QoS-sensitive GPU workload traffic. BGP and OSPF routing across hybrid environments connecting on-premises GPU clusters to cloud egress points. WireGuard VPN tunnels for secure, auditable connectivity. Multi-cloud strategy across AWS and Azure for rendering workload distribution. Platform architecture for GPU-aware Kubernetes scheduling and job orchestration. This role sits at the intersection of deep networking and modern cloud infrastructure, the combination most DevOps engineers don't have. AI and GPU Infrastructure — Exponent.ch (Switzerland) Provisioned and managed NVIDIA GPU-enabled RKE2 clusters running AI and automation workloads: n8n, Langfuse LLM observability, LibreChat, and ClickHouse analytics. Standardized Helm deployments across 5+ environments using shared-stacks architecture. Integrated Teleport for zero-trust cluster access, automated secrets via Lade and 1Password. Prometheus + Grafana + Mimir observability with 99.9% metric coverage, 60% MTTR reduction, and 3 critical outages prevented through proactive alerting. Banking Infrastructure — 6 Ethiopian Banks, 1M+ Users Delivered high-availability mobile banking and USSD platforms for Siinqee Bank, Hijra Bank, Wegagen Bank, and others with 99.95% uptime across 1M+ users. Designed MPLS network architecture for multi-branch WAN connectivity with QoS for transaction data. Built Jenkins CI/CD for Maven Java apps (4 hours to 15 minutes). ELK processing 10TB+ daily logs. Proxmox and AWS hybrid cloud with ~35% cost reduction. Full Technical Stack Container Orchestration: Kubernetes (RKE2, EKS, K3s), Docker, Helm, Rancher, OpenShift Infrastructure as Code: Terraform, Terragrunt, Ansible, OpenTofu CI/CD: GitHub Actions, GitLab CI, Jenkins Cloud: AWS (full suite), Azure, OpenStack Networking: MPLS, BGP, OSPF, WireGuard, HAProxy, NGINX, VLAN, VPC design Service Mesh: Istio (mTLS, traffic policies, ingress) Observability: Prometheus, Grafana, Mimir, Alertmanager, Loki, OpenTelemetry, ELK, Zabbix, SigNoz Security and Identity: Keycloak, HashiCorp Vault, Teleport, IAM OIDC Virtualization: Proxmox, XCP-ng, VMware AI and Automation: NVIDIA GPU Kubernetes, YOLO, ONNX, TensorRT, n8n, Langfuse, LibreChat, ClickHouse Databases: PostgreSQL, MySQL, MongoDB, Redis, Elasticsearch, DynamoDB Backend: Python (FastAPI), Bash, Node.js How I work I overcommunicate early, give realistic timelines, and ship verified, not "it should work." I treat testing as the real deliverable, not a checkbox. If something is out of scope or a bad idea, I'll tell you before you spend money on it. Message me if you need: - AWS or Kubernetes infrastructure built or fixed - CI/CD pipelines developers actually trust - GPU and AI infrastructure with inference pipelines and observability - Migration from cloud to cloud, or on-prem to production cloud - MPLS, BGP, or complex network architecture across hybrid environments - Observability that catches problems before users do

A Reliable and Detailed-oriented individual Looking for work in specifically AWS based Cloud Infrastructure, possessing good interpersonal and analytical skills, who wish to work with 100% dedication.

Hey, I'm Serge — a DevOps engineer and Linux sysadmin with 16 years of hands-on experience. Top Rated Plus on Upwork, $70K+ earned, 100% Job Success Score across 24 contracts. My day-to-day involves leading DevOps work for US and Israeli companies — finance, government, tech. Through my employer, the rate is around $100–120/hr — that includes company overhead, account managers, and the usual agency markup. Here on Upwork you hire me directly. No middlemen, no account managers. That's why the rate is lower — not because the work is different. What I focus on most: **Kubernetes and container infrastructure** I've set up and migrated dozens of projects to Kubernetes — EKS, GKE, AKS, and on-prem. I handle the full stack: Helm-based deployments, Grafana + Loki for monitoring and logging, Terraform for infra as code. If your app is still running on Docker Compose and you're hitting limits, this is exactly what I do. **CI/CD pipelines** Setting up proper pipelines from scratch — GitLab CI, GitHub Actions, Helm. Dev/stage/prod environments with proper Git flow so your developers aren't blocking each other. **Cloud infrastructure — AWS, GCP, Azure** Terraform for everything that can be described as code. Multi-environment setups, VPC, networking, RDS, S3, load balancers, security groups. Migrations between accounts, between clouds, and from on-prem to cloud. **AI infrastructure** More recently I've been setting up GPU-based AI infrastructure — Ollama, vLLM, LiteLLM proxy. If you're deploying local LLMs or building AI-powered apps and need the infra side sorted, that's something I can help with too. **A few practical things:** - Up to 8 hours/day — I work focused, not just "clocked in" - You work directly with me throughout the project - I write documentation so your team can actually use what I build If you have a project in mind and want to talk through the scope first, I'm happy to do a short call. Just send a message. Serge ---

Hello! I'm Aziz, a dedicated DevOps engineer with a track record of designing and implementing robust infrastructure solutions for high-growth startups and established enterprises. With 5+ years of experience in the field, I've mastered the art of optimizing every stage of software deployment. 🏆 𝐓𝐞𝐜𝐡 𝐬𝐭𝐮𝐟𝐟 𝐈'𝐦 𝐫𝐞𝐚𝐥𝐥𝐲 𝐠𝐨𝐨𝐝 𝐚𝐭: AWS / Kubernetes / Terraform / CICD / Architecture & Design ✨ 𝐇𝐞𝐫𝐞'𝐬 𝐰𝐡𝐲 𝐲𝐨𝐮 𝐬𝐡𝐨𝐮𝐥𝐝 𝐭𝐨𝐭𝐚𝐥𝐥𝐲 𝐭𝐞𝐚𝐦 𝐮𝐩 𝐰𝐢𝐭𝐡 𝐦𝐞 𝐬𝐨𝐨𝐧𝐞𝐫: ✓ Expertise in developing fully functional, secure and efficient cloud and software solutions that meet your expectations. ✓ High-quality code that is well-structured, modular and follows coding best practices. ✓ Timely and efficient maintenance, minimizing downtime and maximizing uptime. ✓ Productive teamwork, smooth coordination and the timely completion of project milestones. ✓ Instant communication and quick response time. 🎯 𝐑𝐞𝐬𝐮𝐥𝐭𝐬 𝐲𝐨𝐮 𝐜𝐚𝐧 𝐞𝐱𝐩𝐞𝐜𝐭 𝐰𝐡𝐞𝐧 𝐲𝐨𝐮 𝐡𝐢𝐫𝐞 𝐦𝐞: Experience super intuitive, lightning-fast and completely secure solutions capable of seamlessly handling your business needs around the clock. 🤝 𝐖𝐡𝐚𝐭'𝐬 𝐭𝐡𝐞 𝐧𝐞𝐱𝐭 𝐬𝐭𝐞𝐩 ? Hire me or send me an invite to your job and I'll make sure to get it done right. Technical Expertise: 𝐂𝐥𝐨𝐮𝐝 𝐌𝐚𝐬𝐭𝐞𝐫𝐲: AWS: Comprehensive knowledge of a wide array of services including EC2, VPC, S3, Lambda, EKS, RDS and more. Proficient in performance optimization tools such as Global Accelerator, CloudFront and Route53. Azure: Extensive experience in managing and optimizing Azure resources and services, aligning infrastructure with best practices for scalability and reliability. 𝐂𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫𝐢𝐳𝐚𝐭𝐢𝐨𝐧 & 𝐎𝐫𝐜𝐡𝐞𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧: Proven expertise in architecting both Monolithic and Microservices applications utilizing Docker and Kubernetes. 𝐕𝐞𝐫𝐬𝐢𝐨𝐧 𝐂𝐨𝐧𝐭𝐫𝐨𝐥: Solid command over Git, streamlining code management and collaboration processes. 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭: Skilled in tools like Terraform, Ansible, AWS CloudFormation and AWS CDK for dynamic and efficient infrastructure automation. 𝐂𝐈/𝐂𝐃 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧: Demonstrated experience in establishing CI/CD pipelines with Jenkins, TeamCity, AWS CodePipeline and GitHub Actions for seamless software deployment. 𝐒𝐞𝐫𝐯𝐞𝐫 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬: Hands-on experience with server platforms like IIS, Nginx & Apache ensuring optimal backend services. 𝐎𝐛𝐬𝐞𝐫𝐯𝐚𝐛𝐢𝐥𝐢𝐭𝐲 𝐓𝐨𝐨𝐥𝐬: Aptitude in monitoring and logging using platforms such as Datadog, New Relic, Graylog and AWS CloudWatch for actionable insights and system health checks. 𝐒𝐜𝐫𝐢𝐩𝐭𝐢𝐧𝐠: Proficiency in scripting tasks with languages/tools like Python, Bash and PowerShell, catering to diverse automation needs. 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧: Expertise in designing Python DAGs within Apache Airflow for streamlined operations and task automation.

I help companies design, automate, secure, and optimize cloud platforms on AWS, Azure, and GCP. With 8+ years of hands-on experience in Cloud, DevOps, Security, and Platform Engineering, I have led cloud transformation, infrastructure automation, Kubernetes modernization, FinOps initiatives, and enterprise security programs for Fortune 500 organizations and large-scale global environments. My expertise goes beyond infrastructure deployment—I focus on building scalable, secure, highly available, and cost-efficient platforms that accelerate software delivery while reducing operational overhead. I currently work as a Technical Lead responsible for cloud operations, platform engineering, security governance, automation, infrastructure modernization, cost optimization, and DevSecOps initiatives across multi-cloud environments. What I Can Help You With Cloud Architecture & Platform Engineering ✔ AWS Landing Zones & Multi-Account Architectures ✔ AWS Organizations & Control Tower ✔ Cloud Migration & Modernization ✔ High Availability & Disaster Recovery ✔ Hybrid Cloud & Multi-Cloud Architectures ✔ Platform Engineering & Internal Developer Platforms ✔ Infrastructure Standardization & Governance ✔ FinOps & Cloud Cost Optimization DevOps & CI/CD ✔ GitHub Actions ✔ GitLab CI/CD ✔ Jenkins ✔ AWS CodePipeline ✔ Bitbucket Pipelines ✔ ArgoCD ✔ Blue/Green Deployments ✔ Canary Releases ✔ Zero-Downtime Deployments ✔ Release Automation ✔ Environment Promotion Strategies Kubernetes & Container Platforms ✔ Amazon EKS ✔ Amazon ECS (EC2 & Fargate) ✔ Kubernetes Administration ✔ Cluster Upgrades & Modernization ✔ Helm ✔ Ingress Controllers ✔ Service Mesh ✔ Container Security ✔ Docker ✔ Container Registries (ECR, Docker Hub) ✔ Production Kubernetes Operations Infrastructure as Code & Automation ✔ Terraform ✔ OpenTofu ✔ CloudFormation ✔ Ansible ✔ Packer ✔ Python Automation ✔ Bash Scripting ✔ Infrastructure Lifecycle Management ✔ GitOps ✔ Self-Service Provisioning Platforms AI Infrastructure, MLOps & AIOps ✔ Amazon Bedrock ✔ Amazon Q ✔ OpenAI API Integrations ✔ AI-Powered DevOps Workflows ✔ LLM Infrastructure Deployment ✔ AI Agent Hosting Platforms ✔ Vector Databases ✔ RAG Infrastructure ✔ GPU Workloads ✔ Kubernetes for AI Platforms ✔ MLOps Pipelines ✔ AI Observability ✔ AIOps & Intelligent Incident Management ✔ AI-Assisted Infrastructure Automation Cloud Security & DevSecOps ✔ AWS Security Best Practices ✔ IAM Governance ✔ Identity Federation & SSO ✔ Security Baselines ✔ Secrets Management ✔ WAF & Edge Security ✔ Vulnerability Management ✔ Security Automation ✔ Compliance Automation ✔ SOC2 Readiness ✔ ISO 27001 Controls ✔ CIS Benchmark Implementations ✔ Cloud Security Reviews & Audits AWS Expertise ✔ EC2 ✔ ECS ✔ EKS ✔ Lambda ✔ API Gateway ✔ VPC ✔ Route 53 ✔ CloudFront ✔ ALB / NLB ✔ S3 ✔ RDS ✔ DynamoDB ✔ Aurora ✔ Elasticache ✔ Secrets Manager ✔ Systems Manager ✔ Control Tower ✔ Organizations ✔ Config ✔ CloudTrail ✔ GuardDuty ✔ Security Hub ✔ Compute Optimizer ✔ Cost Explorer ✔ Budgets ✔ Savings Plans & Reserved Instances Monitoring, Observability & Reliability Engineering ✔ CloudWatch ✔ Prometheus ✔ Grafana ✔ ELK Stack ✔ OpenSearch ✔ OpenTelemetry ✔ Distributed Tracing ✔ New Relic ✔ Datadog ✔ Dynatrace ✔ Incident Response ✔ SRE Practices ✔ Reliability Engineering ✔ Capacity Planning Certifications 🏆 AWS Certified Solutions Architect – Professional 🏆 AWS Certified DevOps Engineer – Professional 🏆 AWS Certified Security – Specialty 🏆 AWS Certified AI Practitioner 🏆 Google Cloud Associate Cloud Engineer Why Clients Work With Me ✅ Technical Lead with real enterprise-scale cloud experience ✅ Strong architecture and hands-on implementation skills ✅ Security-first mindset ✅ Deep AWS expertise ✅ Cost optimization and FinOps experience ✅ Fast troubleshooting and root-cause analysis ✅ Clear communication and documentation ✅ Visiting Lecturer in Cloud, DevOps, and Security ✅ AWS Community Contributor and Public Speaker Areas I Commonly Support AWS Infrastructure Design Terraform Projects Kubernetes / EKS ECS Fargate Cloud Security Reviews CI/CD Automation Cloud Cost Optimization Platform Engineering AI Infrastructure MLOps & AIOps DevSecOps Cloud Migrations Production Troubleshooting Observability & Monitoring

I help growing AI teams and SaaS companies fix AWS issues that slow releases, waste cloud budget, and put production at risk. I don't just "run DevOps". Being Solution Oriented, I find the 20% of infrastructure issues causing 80% of failures and overspending: unstable pipelines, slow builds, noisy deployments, mis-sized compute, always-on non-prod environments, missing alerts, weak access controls, unsafe infrastructure changes, backend bottlenecks, full stack developer handoff issues, and weak collaboration between application and infrastructure teams. You get a clear action plan, quick wins in the first days, and production-safe improvements shipped via Terraform, AWS Terraform, CI/CD, ci cd pipelines, rollback-ready delivery, and practical DevOps Engineer execution using AWS Kubernetes, Microsoft Azure, azure data factory and Google Cloud Platform. What you get from a cloud infrastructure optimization engagement: ✅ 5x faster releases via stable CI/CD, ci cd workflows, and AWS Terraform driven delivery ✅ Up to 40% AWS cost reduction by eliminating waste and rightsizing resources ✅ Safer AWS migrations with minimal downtime and rollback plans ✅ Scalable, production-ready cloud infrastructure for growing SaaS and AI products utilizing AWS Kubernetes ✅ 99.9% uptime mindset: monitoring, backups, health checks, and safe rollouts across platforms ✅ Better AWS backend stability for backend, backend AWS, and API-driven platforms ⚙️ How I work as an AWS DevOps Engineer: 1️⃣ Discovery & Assessment: analyze your current Amazon Web Services, Linux servers, backend, kubernetes, AWS ECS, AWS Lambda, AWS EKS, EKS, Amazon EKS, GitLab, GitHub Actions, AWS Terraform, AWS Kubernetes, and deployment pain points 2️⃣ Plan: define clear scope, milestones, risks, and the fastest first win across your infrastructure 3️⃣ Implement: build and automate with AWS DevOps Engineer best practices, DevOps Engineer delivery standards, cloud engineer ownership, and clean documentation 4️⃣ Verify + handover: release runbook, rollback path tested, monitoring validated, and short documentation for your team I mainly work with AWS, but I can also support mixed-cloud teams where Microsoft Azure pipelines, Azure Terraform, Azure Cloud Engineer workflows, Azure infrastructure, Google Cloud Platform, AWS VMware, or migration planning are part of the environment. My expertise covers devops kubernetes integrating AWS Terraform and AWS Kubernetes into multi-cloud setups. Real examples: 🔹 Case: AWS Production-Safe Cost Optimization ⚠️ Problem: Multiple AWS environments across production, staging, pre-production and development were running 24/7, with several oversized resources. 🛠️ Work: Reviewed AWS usage, rightsized resources, added safe Spot Instances, automated start/stop scheduling and improved cost visibility. 🎯 Result: Reduced AWS infrastructure spend by ~40% with zero customer-facing production impact. 🔹 Case: CI/CD for AWS Lambda & Product Engineering Teams ⚠️ Problem: Teams had no standard way to deploy AWS Lambda services. Each service was configured differently and required DevOps involvement. 🛠️ Work: Built 30+ AWS Lambda CI/CD pipelines for Python and Node.js with tests, SonarCloud checks and Orca Security gates. 🎯 Result: Developers could self-provision new Lambda services from a template in under 5 minutes, reducing DevOps dependency by ~80%. 🔹 Case: AWS Multi-Account Infrastructure with Terraform ⚠️ Problem: Product teams needed isolated non-prod, pre-prod and production environments, but provisioning took ~4 hours manually. 🛠️ Work: Built reusable Terraform modules across multiple AWS accounts and standardized environment provisioning with templates. 🎯 Result: Environment provisioning dropped from ~4 hours to ~20 minutes, helping teams ship and test faster. 🔹 Case: Feature-Branch Environments for Next.js / Node.js ⚠️ Problem: Developers shared one staging environment, causing conflicts and slower review cycles. 🛠️ Work: Built GitLab CI + Terraform automation to create isolated AWS Elastic Beanstalk environments per merge request. 🎯 Result: PR-based environments launched in ~10 minutes, removing staging conflicts and improving feedback loops by ~50%. Additional product infrastructure supported: AWS ECS, EKS, Lambda, Terraform, GitHub Actions, GitLab CI, Azure DevOps, Docker, AWS ECR, CloudFront, S3, RDS, Redshift, Dagster Cloud Hybrid Best fit for teams that need senior DevOps support for a launch, migration, infrastructure stabilization, AWS backend improvement, backend AWS architecture, or ongoing production ownership. I can support your team as an AWS DevOps Engineer, devops engineer, cloud engineer, aws architect, and senior delivery owner across Amazon Web Services, kubernetes, ci/cd, github actions, gitlab, Git, AWS Terraform, AWS Kubernetes, Azure DevOps, GCP DevOps, and terraform-based infrastructure. ☎️ Message me a short description of your current pain for fast Senior AWS DevOps Engineer support.