Hire the Best Terraform Developers
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Hi, I'm Avinash, an AWS Certified Solution Architect with 7+ years of experience, delivering scalable cloud solutions and robust Python apps. Specializing in AWS, Terraform, Kubernetes, Python, Automation, Django, Django Rest Framework, Flask and FastAPI, I’ve helped clients in healthcare, e-commerce, and finance save costs and boost efficiency. What I Bring to Your Project: Cloud Infrastructure and DevOps - AWS services including EC2, S3, Lambda, EKS - Infrastructure as Code using Terraform - Docker, Kubernetes, and secure cloud deployments - Automated scaling, monitoring, and cost optimization Python and Web Frameworks: - Python with Django, Django Rest Framework, Flask, FastAPI - RESTful API development, web scraping, and backend automation - PostgreSQL, MySQL, and Redis database integration Automation and CI/CD: - Jenkins, GitLab CI/CD pipeline configuration - Dockerized workflows for reliable deployment - Automated infrastructure for 20+ projects, cutting deployment time by 40% and AWS costs by 25%. Services Offered: - Scalable AWS infrastructure setup using Terraform - Automated CI/CD pipelines for fast and stable deployments - High-performance Python and Django API development - Cloud cost optimization and security best practices - Docker-based application deployment - Custom backend systems for business-critical applications If you are looking for a dependable cloud and backend developer to build or improve your system, feel free to reach out. I am ready to help you meet your goals efficiently and effectively.

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.

Your infrastructure breaks at 2 AM. Your deploys take 45 minutes. Your AWS bill climbed 40% and nobody can explain why. I fix all three - and I've done it 100+ times on this platform. Claude Partner Badge - Claude Code Certified Former SRE Lead at Yellow AI (100M+ users, AWS + on-prem). Now I run Skybyte, a DevOps and cloud consulting practice focused on startups and mid-market teams that need senior infrastructure work without the senior hire. What 61+ Upwork jobs and a 100% Job Success Score actually look like: Cloud cost optimization - cut AWS/Azure/GCP spend by 40-60% through right-sizing, Reserved Instances, spot fleets, and architecture cleanup. Not guesswork; I run the cost audit, build the dashboard, and hand you the savings. Kubernetes migration and management - moved production workloads to EKS, AKS, and self-managed clusters on Hetzner. Helm charts, ArgoCD GitOps, zero-downtime cutovers. I've handled clusters running 200+ pods and clusters running 6. CI/CD pipeline engineering - GitHub Actions, GitLab CI, Azure DevOps Pipelines, Bitbucket Pipelines. Took teams from 45-minute manual deploys to sub-5-minute automated releases with rollback built in. Infrastructure as Code with Terraform - full AWS, Azure, and GCP environments defined in Terraform modules. State management, drift detection, and PR-based infrastructure reviews that your team can maintain without me. DevSecOps and compliance - SOC 2 infrastructure from scratch, cloud security audits, Cloudflare WAF and DDoS protection, network security architecture, and DPDP-aligned data handling. I've built the controls and written the documentation auditors actually accept. Monitoring, observability, and SRE - Prometheus, Grafana, OpenTelemetry, Datadog, PagerDuty. Full observability stacks that catch failures before your users file tickets. I set up SLOs, runbooks, and on-call workflows. Beyond core DevOps - SSO/SAML integration, n8n workflow automation, MLOps pipelines, Docker deployments on bare metal and VPS, GCP Cloud Run serverless, and technical documentation your team won't ignore. I work best with funded startups burning money on cloud, engineering teams stuck in deployment hell, and companies scaling past the point where one developer can manage the infrastructure part-time. Stack: AWS (EKS, EC2, Lambda, RDS, S3) · Azure (AKS, DevOps, AD) · GCP (GKE, Cloud Run) · Kubernetes · Helm · Terraform · Docker · GitHub Actions · GitLab CI · ArgoCD · Prometheus · Grafana · OpenTelemetry · Datadog · Cloudflare · n8n Not a "set it up and disappear" contractor. I document everything, train your team, and build systems designed to run without me and scale.

Profession: DevOps Engineer for AI & Cloud Infrastructure Expertise: Docker, Kubernetes, Terraform, Jenkins, Ansible, GitHub Actions, Azure DevOps, CI/CD pipelines, infrastructure automation, deployment orchestration, and environment management. Specialization: Deployment and Management Summary: I am a DevOps Engineer specializing in cloud infrastructure, automation, CI/CD, containerization, deployment, and system reliability across modern cloud environments. I help businesses build secure, scalable, automated, and production-ready infrastructure that supports efficient application delivery and long-term operational stability. My experience spans multiple cloud platforms and modern infrastructure technologies, where I work on designing, deploying, managing, and optimizing environments for web applications, APIs, enterprise systems, and cloud-native workloads. I have hands-on experience with cloud infrastructure, virtual machines, networking, storage, load balancing, firewalls, VPNs, identity and access management, secure remote access, application hosting, and production deployments. I work extensively with DevOps tools and practices including Docker, Kubernetes, Terraform, Jenkins, Ansible, GitHub Actions, Azure DevOps, CI/CD pipelines, infrastructure automation, deployment orchestration, and environment management. I focus on reducing manual operations, improving deployment consistency, increasing system reliability, and enabling faster software delivery through automation and streamlined workflows. I also have strong experience with Linux and Windows server administration, web hosting environments, reverse proxies, IIS, NGINX, networking, DNS configuration, SSL/TLS setup, monitoring, troubleshooting, and production support. I understand how to build and maintain stable environments that are secure, scalable, and optimized for business-critical systems. Security and compliance are important parts of my DevOps approach. I have worked on infrastructure security, access management, MFA implementation, secure configuration practices, secrets handling, environment isolation, monitoring, and compliance-related tasks including SOC 2 alignment and operational security controls. My goal is to build infrastructure that is not only functional and scalable, but also resilient and secure. In addition to traditional DevOps work, I also support modern AI and AI-powered application infrastructure. I help deploy, manage, integrate, and optimize environments for AI applications, APIs, automation systems, and cloud-based AI workflows. This includes containerized AI deployments, scalable backend infrastructure, API integrations, monitoring, automation pipelines, and infrastructure support for modern AI-driven applications. I have experience working with monitoring and observability tools such as Prometheus, Grafana, CloudWatch, Azure Monitor, and Application Insights to improve visibility, system health monitoring, logging, and incident response. I also have strong troubleshooting and problem-solving skills across infrastructure, networking, deployment, and application environments. I am passionate about building reliable systems, automating workflows, improving operational efficiency, and helping businesses deploy modern cloud and AI-powered solutions with confidence.

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.

Building or rescuing an AWS, SaaS, or AI product? I design and build production systems across backend engineering, serverless architecture, DevOps, cloud infrastructure, MLOps, RAG, and AI agents. Reliability, security, observability, and cost control are built in from the beginning. Expert-Vetted, Top 1% on Upwork 100% Job Success | $100K+ earned | 2,700+ hours | 41 jobs 9+ years of production engineering 3x AWS Professional Certified | 5x AWS Community Builder Clients hire me when they need a single senior engineer who can understand the entire system, make sound architectural decisions, and implement the solution. CLIENTS BRING ME IN WHEN • A SaaS, backend, or AI product needs production architecture and hands-on delivery • An AWS platform has reliability, scaling, latency, security, or cost problems • Serverless workflows fail under retries, concurrency, duplicate events, or partial failures • Infrastructure and deployments are manual, inconsistent, or difficult to recover • An AI agent works in a demo but fails with tools, permissions, state, retries, or live business data • A RAG system retrieves weak context, produces poor citations, or lacks tenant-level access control • Claude, OpenAI, or Amazon Bedrock must connect safely to real workflows • AI or ML workloads need deployment automation, monitoring, rollback, retraining, or GPU optimisation BACKEND AND SERVERLESS • Python, FastAPI, Flask, Node.js, and TypeScript • REST APIs, microservices, async workers, and multi-tenant SaaS backends • Lambda, API Gateway, DynamoDB, SQS, EventBridge, and Step Functions • PostgreSQL, Aurora, MySQL, Redis, ElastiCache, and OpenSearch • Authentication, authorization, tenant isolation, API security, and rate limiting • Idempotency, retries, ordering, concurrency control, dead-letter handling, and recovery AWS PLATFORM AND DEVOPS • Terraform, AWS CDK, CloudFormation, SAM, Helm, and Ansible • Docker, Kubernetes, EKS, ECS, GitHub Actions, Jenkins, and CI/CD • IAM least privilege, RBAC, VPC design, networking, secrets, and environment isolation • CloudWatch, OpenTelemetry, Prometheus, Grafana, Datadog, and structured logging • Blue-green and canary deployments, rollback controls, disaster recovery, and multi-region design • Infrastructure governance, compliance automation, and AWS cost optimization PRODUCTION AI, RAG, AND AGENTS • LangGraph, LangChain, MCP, structured tool calling, and agent workflows • Multi-agent orchestration, state, approvals, audit trails, and human review • Enterprise RAG with hybrid retrieval, reranking, citations, and access control • OpenSearch, Pinecone, Qdrant, pgvector, and FAISS • Claude, OpenAI, Amazon Bedrock, and open-source models • Evals, regression testing, tracing, guardrails, and deterministic fallbacks • Real-time AI and voice systems using WebSockets, LiveKit, and OpenAI Realtime API • Token, latency, infrastructure, and inference cost optimization MLOPS • SageMaker Pipelines, MLflow, DVC, model packaging, and versioning • Automated training, validation, deployment, retraining, and rollback • Production model serving, autoscaling, monitoring, and GPU optimization SELECTED OUTCOMES • Built event-driven services processing more than 5 million orders per month at sub-200ms latency • Supported systems designed for 99.99% availability during peak traffic • Reduced manual AWS environment setup effort by 70% using reusable infrastructure as code • Reduced cloud operating costs by 20% • Accelerated infrastructure deployments by 30% using reusable AWS CDK constructs • Delivered more than 20 production releases per week with automated CI/CD and testing • Migrated monolithic workloads to serverless APIs and containers, tripling throughput and reducing infrastructure costs by 30% HOW I WORK I do not begin by choosing a framework. I begin with your workflow, architecture, repository, data boundaries, permission model, failure modes, deployment process, traffic, latency, availability requirements, and operating cost. Then I identify the highest-risk path, design the smallest safe solution, and implement it. I will also tell you when not to build something. I have recommended deterministic workflows instead of agents, direct queries instead of RAG, and simpler AWS services instead of platforms that add unnecessary cost or operational complexity. I support architecture reviews, new platform implementation, production rescue, serverless backend development, RAG and AI agent productionization, MLOps platforms, DevOps modernisation, fractional principal engineering, and long-term contracts. I work best with funded startups, SaaS companies, AI product teams, and enterprise engineering organisations that have a real product, workflow, codebase, or production problem. Send me your architecture, repository context, infrastructure challenge, or production issue. I will identify the highest-risk constraint and the smallest practical step forward.