Hire the Best Ansible Developers

I'm a certified UNIX/Redhat Systems Specialist with over 8 years of experience with hands-on experience in the engineering of Red Hat Enterprise Linux 6; 7 & 8. I'm an expert in Ansible playbooks. In love with High performance Computing (HPC), anf Container Orchastration with Openshift. I'm jovial, enthusiastic, and easy to communicate with. I have worked on projects which involved UNIX | Linux | Ansible | Shell Scripting | Docker | Podman | Openshift | Performance Tuning | HPC/ML | RHEL 6, 7, 8 & 9 | LVM | HTTPD | LDAP | SAN | NAS | TCP/IP | RAID | DNS | NFS | SSL/TLS | SMTP | SAMBA | Haproxy | Hetzner | Proxmox | Sagemaker You'll love working with me, I'm just a call away.

🔸I'm a seasoned DevOps Engineer with over 4 years of experience and a knack for orchestrating tech landscapes. 🔸I firmly believe that DevOps is an art that goes beyond just mastering the best tools in the field – it's about strategic thinking, problem-solving, and continuous improvement that go hand-in-hand with them. 🔸With my extensive expertise in a wide range of technologies, including Linux, bash scripting, Docker, Swarm, Kubernetes, Nomad, OpenShift, GCP, AWS, DigitalOcean, Azure, Hetzner, and OpenStack, I bring a diverse skill set to the table. Moreover, I excel in implementing CI/CD and GitOps practices, streamlining software delivery processes and fostering a culture of automation and collaboration. 🔸I am well-versed in infrastructure-as-code tools like Terraform, Ansible, and Packer, providing organizations with efficient and scalable infrastructures. My proficiency in Python and Lua programming languages enables me to create innovative solutions, automate complex tasks and implement effective API integrations. 🔸I am a natural problem solver, always seeking innovative ways to optimize processes and enhance productivity. I believe in effective communication and collaboration, which makes me a valuable addition to any project. 🔸If you are looking for a productive DevOps Engineer with a business-driven approach, I am here to make a difference. Let's connect and discuss how to turn your vision into reality.

Most backend engineers can write code. Fewer can architect a system that holds up at scale, survives a traffic spike, and stays observable when something breaks at 2am. That's the gap I fill. I'm a Top Rated Plus engineer on Upwork with a 100% Job Success Score across 34 contracts and 4,600+ hours — working with clients from startups to enterprises across ticketing, marketplace, gaming, and HR domains since 2011. What I actually do: I design and build production-grade backend systems in Go — from the API layer down to the infrastructure. That means event-driven microservices with Kafka or RabbitMQ, containerized deployments on Kubernetes, full CI/CD pipelines, and cloud infrastructure on AWS, GCP, DigitalOcean, or Alibaba Cloud. I don't hand you a working local demo and disappear — I deliver something that runs reliably in production, with proper observability, testing at every layer, and documentation your team can maintain. Specifically, I can help you if: — Your monolith is becoming a bottleneck and you need to decompose it into services that scale independently — You're building a new product and need a senior engineer who can own the backend architecture from day one — Your Kubernetes setup is held together with hope and tribal knowledge, and you need someone to make it solid — You need CICD that actually works — automated testing, container builds, and deployments to staging and production without manual steps Tech I work with daily: Go · PostgreSQL · Redis · Kafka · RabbitMQ · Elasticsearch · Docker · Kubernetes · Helm · Terraform · AWS · GitHub Actions · GitLab CI · gRPC · REST How I work: I ask the right questions before writing the first line of code. I communicate in plain language, not jargon. I've worked in agile teams, solo, and everything in between — I adapt to your workflow, not the other way around. And I treat your codebase like I'll be the one maintaining it, because sometimes I am. If you need a senior engineer who thinks in systems, communicates clearly, and delivers work you won't have to redo — let's talk.

I am a software engineer with 4 years of experience spanning backend development, DevOps, and cloud platform engineering. I build scalable, secure, and automated cloud platforms from the ground up and bring a developer-first mindset to every infrastructure challenge I take on. I work well independently and communicate clearly throughout every engagement, from scoping to delivery. BACKGROUND My career started in software development, building production applications using Spring Boot and Python. This backend foundation shapes how I approach cloud and DevOps work, because I understand what developers need from the platforms they run on. I have hands-on experience with modern AI/LLM tooling including LangChain, LangGraph, and LiteLLM, and I have integrated vector databases like OpenSearch into production systems. This means I can support teams building AI-powered products at both the application and infrastructure layer. WHAT I CAN DO FOR YOU Whether you are a startup building your first cloud environment or an established team dealing with scaling, reliability, or cost problems, I can step in at any stage of the process. * Design and build cloud infrastructure on AWS or GCP from scratch * Migrate existing workloads to the cloud with minimal downtime * Build and maintain backend services and REST APIs using Python or Java * Design relational and non-relational database schemas and optimize query performance * Containerize applications using Docker and orchestrate them with Kubernetes * Build or improve CI/CD pipelines using GitHub Actions or Jenkins * Implement GitOps workflows with ArgoCD for automated, auditable deployments * Write clean, reusable Terraform modules for reproducible infrastructure * Set up full observability with Prometheus, Grafana, and Loki so your team has visibility into everything * Harden your cloud environment for security and compliance * Optimize infrastructure costs without sacrificing performance or reliability * Integrate LLM tooling and AI components into cloud-native architectures CORE SKILLS Backend Engineering * Python, Java, Spring Boot * REST API design and development * PostgreSQL, MySQL, MongoDB, Redis * Message brokers: Kafka, RabbitMQ * Microservices architecture and system design * Authentication and authorization: OAuth2, JWT, Keycloak * Unit testing, integration testing, test-driven development DevOps & Platform Engineering * Kubernetes, Docker, Docker Compose * GitHub Actions, Jenkins, ArgoCD * Terraform, Linux, Bash scripting * Prometheus, Grafana, Loki AI & LLM Engineering * LangChain, LangGraph, LiteLLM * OpenSearch and vector database integration * RAG pipelines and LLM application development Cloud Platforms * AWS: End-to-end architecture, migrations, and optimization * GCP: Production-grade platform design and deployment CERTIFICATIONS Google Cloud * Google Cloud Professional Cloud Architect AWS (13 Certifications) Foundational * AWS Certified Cloud Practitioner * AWS Certified AI Practitioner Associate * AWS Certified Solutions Architect - Associate * AWS Certified Developer - Associate * AWS Certified SysOps Administrator - Associate * AWS Certified Data Engineer - Associate * AWS Certified Machine Learning - Associate Professional * AWS Certified Solutions Architect - Professional * AWS Certified DevOps Engineer - Professional * AWS Certified Generative AI Developer - Professional Specialty * AWS Certified Security - Specialty * AWS Certified Advanced Networking - Specialty * AWS Certified Machine Learning - Specialty HOW I WORK I treat every client engagement like a product. That means understanding the business context behind the technical requirement, communicating progress clearly, delivering clean and documented work, and making sure what I build can be maintained and extended after I am done. I do not disappear after delivery. I make sure things work. I am available for both short-term engagements and longer-term platform work. If you have a specific problem to solve or a platform to build, send me a message and we can determine if I am the right fit.

I help startups, SaaS companies, and enterprises build scalable, secure, and automated cloud infrastructure that accelerates software delivery, improves reliability, and reduces operational overhead. With hands-on experience across AWS, Azure, GCP, Kubernetes, Terraform, Docker, and modern CI/CD platforms, I specialize in designing and implementing cloud-native infrastructure that is production-ready, secure, and built to scale. My expertise includes: ✅ AWS, Azure & GCP Cloud Infrastructure ✅ Kubernetes (EKS, AKS, GKE) ✅ Terraform & Infrastructure as Code (IaC) ✅ Docker & Containerization ✅ GitHub Actions, GitLab CI/CD & Jenkins ✅ ArgoCD & GitOps Automation ✅ Linux Administration ✅ Monitoring & Observability (Prometheus, Grafana, ELK, Loki) ✅ DevSecOps & Cloud Security ✅ SOC 2 Compliance & Security Best Practices ✅ Multi-Cloud Architecture ✅ MLOps & AI Infrastructure I can help you: • Design and deploy production-grade cloud infrastructure • Build secure and automated CI/CD pipelines • Provision and manage infrastructure using Terraform • Deploy and optimize Kubernetes workloads at scale • Implement GitOps workflows with ArgoCD and Helm • Configure monitoring, logging, and alerting solutions • Strengthen cloud security and compliance posture • Optimize infrastructure performance, reliability, and operational efficiency • Support AI and machine learning workloads in cloud environments Tech Stack: AWS • Azure • GCP • Kubernetes • Docker • Terraform • Helm • ArgoCD • GitHub Actions • GitLab CI/CD • Jenkins • Linux • Python • Ansible • Prometheus • Grafana • ELK Stack • Loki • Nginx • DevSecOps • MLOps Whether you need cloud architecture, Kubernetes deployment, CI/CD automation, DevSecOps implementation, infrastructure modernization, or cloud optimization, I can help deliver a reliable and scalable solution tailored to your business needs. Let's discuss your project and build infrastructure that scales with confidence.

I help growing AI teams and SaaS fix AWS issues that slow releases, waste cloud budget, and put production at risk. Best fit for teams that need senior DevOps support for a launch, migration, infrastructure stabilization, or ongoing production ownership. I don’t just “run DevOps”. 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, and unsafe infrastructure changes. You get a clear action plan, quick wins in the first days, and production-safe improvements shipped via Terraform, CI/CD, and rollback-ready delivery. What you get from a cloud infrastructure optimization engagement: ✅ 5x faster releases via stable CI/CD and 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 ✅ 99.9% uptime mindset: monitoring, backups, health checks, and safe rollouts ⚙️How I work as an AWS DevOps Engineer (simple workflow): 1️⃣ Discovery & Assessment: thoroughly analyze your current infrastructure and pain points 2️⃣ Plan: clear scope, milestones, and the fastest first win 3️⃣ Implement: Build and automate with AWS DevOps Engineer best practices and documentation 4️⃣ Verify + handover: release runbook, rollback path tested, and short documentation Real examples: Non-Production Cloud Cost Reduction (~30%) Problem: Dev and test environments were running 24/7 at near-production scale, burning budget overnight and on weekends with no business value. Risk avoided: Cloud bill growing unsustainably as team scaled, budget pressure forcing cuts to production capacity. 🎯Result: Reduced non-production AWS spend by ~30% through AWS DevOps Engineer cost review, rightsizing, Spot Instance adoption, and automated start/stop scheduling with zero production impact. Industry: eCommerce (cloud-heavy workloads with clear non-prod/prod separation) - CI/CD for AWS Lambda (Python/Node.js): built 30+ pipelines as an AWS DevOps Engineer for build + deploy with unit tests and quality/security gates (SonarCloud, Orca). 🎯Result: developers can provision a new Lambda from a template in minutes using the guide (consistent standards, less manual setup). - CI/CD modernization: migrated 10+ pipelines from TeamCity to GitHub Actions with equivalent build, test, and deploy stages as an AWS DevOps Engineer. 🎯Result: standardized workflows and easier maintenance without vendor lock-in. - AWS Terraform + runbooks: built the AWS stack as IaC with terraform modules and safe plan/apply workflow, aligned with linux system administration practices and AWS DevOps Engineer delivery standards. 🎯Result: performance environment provisioning in ~10 minutes, plus start/stop automation to reduce idle AWS spend. - Automated Sitecore CMS deployment on AWS Windows EC2 🎯Result: Created and implemented Ansible playbooks and reusable roles as an AWS DevOps Engineer to fully automate Sitecore CMS installation on Windows EC2 instances in AWS. This reduced manual configuration work, improved deployment consistency, and made infrastructure setup faster and easier to reproduce. - Redshift cross-account migration delivered as devops engineer: moved a provisioned Redshift cluster to a new AWS account (serverless), restored from backup, and automated backups via AWS Backup. 🎯Result: higher data reliability plus an incident runbook for fast recovery. - IBM Cloud to AWS migration design as aws architect, AWS DevOps Engineer, and cloud engineer: created target (EKS) architecture and rebuilt the stack with kubernetes (EKS) terraform, and aws kubernetes, including aws docker image patterns. 🎯Result: production-ready infrastructure migration foundation with automated Amazon RDS snapshots, EKS cluster, and apps deployed via Helm charts. - Dagster Cloud Hybrid Agent on AWS ECS using Fargate: As a Senior DevOps Engineer I built a docker image + ci cd pipeline GitHub Actions to deploy a versioned agent into a client AWS account, with python docker build steps. 🎯Result: self-serve deployments and automated dataflow runs after merge, with SonarCloud + Orca gates in the loop. - Automated Solr deployment and configuration on RHEL with Ansible 🎯 Result: As a DevOps engineer Developed Ansible playbooks and roles to automate Solr installation and server-side configuration on Red Hat Enterprise Linux servers. This improved deployment reliability, reduced setup time, and minimized the risk of manual misconfiguration. ☎️ Message me with your repo or a short description of the current pain, and I’ll suggest the fastest path to stabilize releases with Senior AWS DevOps Engineer support.