Hire the Best CI/CD Engineers

🏆 Top Rated | 💯 100% Job Success | AWS DevOps & Network Engineer Your infrastructure should work for you — not keep you up at night. I'm Jahanzeb, a Top Rated AWS DevOps & Network Engineer with 5+ years helping startups and growing companies ship faster, cut cloud costs, and sleep better at night. ⚡ WHAT I DELIVER 🚀 40% Faster Deployments — CI/CD via Jenkins, GitLab CI, GitHub Actions 🔒 Zero-Downtime Releases — Blue-green & rolling deployments on ECS/Kubernetes 💰 35% Lower AWS Bills — Right-sized infrastructure, auto-scaling, cost planning 🛡️ Security-First Architecture — IAM, VPC, Firewall hardening, encryption everywhere 📦 Terraform IaC — Version-controlled, reproducible, DR-ready infrastructure 📊 60% Faster Incident Response — CloudWatch, Prometheus, Grafana alerting 🌐 Secure Networking — VPN, VLAN, Firewall, SSL/TLS, AWS VPC design 🔧 MY CORE TOOLKIT ☁️ AWS: EC2, ECS, S3, VPC, CloudFront, IAM, Route 53, CloudWatch, RDS, Lambda ⚙️ CI/CD: Jenkins, GitLab CI, GitHub Actions, Bash, Python 🐳 Containers: Docker, Kubernetes, ECS, Docker Compose 🏗️ IaC: Terraform, Ansible, CloudFormation 📡 Monitoring: CloudWatch, Prometheus, Grafana, ELK Stack 🌐 Networking: VPN, VLAN, Firewall, SSL/TLS, IPv4/IPv6 🐧 Linux: Ubuntu, CentOS, Amazon Linux — fully hardened 🏅 RECENT WINS ✅ ECS Production Migration — 40% faster deployments, zero rollback incidents ✅ Jenkins CI/CD Overhaul — Weekly releases to multiple deploys per day ✅ AWS Network Security Rebuild — Critical vulnerabilities closed, zero downtime ✅ Cost Optimization — 35% AWS bill reduction through right-sizing & automation ✅ SSL Setup across multiple production environments — Free, auto-renewing 💬 WHAT CLIENTS SAY ⭐ "Great collaboration and smooth project execution. Proactive, communicative, and solution-oriented. Highly recommended." — Verified Client ⭐ "Good knowledge of AWS networking. Fixed issues with private network considering security." — Verified Client ⭐ "Great customer service, timely delivery, great quality of work." — Verified Client 🎯 WHY TOP RATED CLIENTS CHOOSE ME 🏆 Top Rated — Upwork's recognition of consistent client satisfaction 💯 100% Job Success — Every single client satisfied, every time ⚡ Under 24-hour response — When production goes down, I'm already on it 📋 I document everything — No black boxes, no mystery configurations 🤝 Long-term partner mindset — Invested in your success, not just the ticket 🎓 AWS Certified — Cloud Technical Essentials, May 2025 🚀 LET'S WORK TOGETHER 1️⃣ Send an invitation — I respond within hours 2️⃣ I review your setup and identify risks or improvements 3️⃣ Clear action plan, agreed scope, zero surprises 4️⃣ On-time delivery with full documentation Available for: Long-term contracts | Hourly projects | Contract-to-hire Your infrastructure should be invisible — running perfectly in the background. Let's make that happen. 💪

+10 Years of Experience Helping Client & Business: Develop Software, Manage & Consult 🏆 Top Rated Freelancer / 100% Job Success 🏆 Software Guru 100% Delivery Speed on Both Complex & Difficult Tasks 🏆 AWS Cloud Solutions Architect Certified 🏆 AWS DevOps Engineer Certified 🏆 Built Highly Secure Cloud Architectures for Apache Kafka Applications 🏆 Developed Amazon Lex Chatbot for Multi-Language Support 🏆 Delivered Kubernetes-Orchestrated Solutions for Scalability 🏆 Implemented AWS Lambda for Serverless Application Architectures 🏆 Executed ECS Projects for High-Performance Containerized Workloads 🏆 Enhanced AWS Cloud Cyber Security Infrastructure With over 10 years of IT expertise in DevOps Engineering, Cloud Architecture, Cyber Security, and Infrastructure Automation, I bring a proven ability to deliver secure, scalable, and efficient cloud-based solutions tailored to business-critical applications. Key Skills & Expertise Amazon Lex Chatbot Development: Designed and implemented a multi-language Amazon Lex chatbot for customer engagement, supporting English and Spanish interactions. Container Management and Orchestration: Delivered containerized workloads using Amazon ECS for high-performance applications. Deployed Kubernetes for managing scalable containerized microservices, ensuring robust and reliable production environments. Serverless Architectures: Developed AWS Lambda-based serverless applications integrated with API Gateway and DynamoDB, enabling cost-efficient and event-driven solutions. Highly Secure Cloud Architecture: Built and implemented highly secure cloud architectures for mission-critical applications, including an Apache Kafka-based streaming platform. Enhanced AWS Cloud Cyber Security posture by implementing best practices such as IAM policies, security groups, VPC NACLs, encryption, and AWS WAF for web application security. CI/CD and Infrastructure as Code (IaC): Automated multi-account AWS deployments using Terraform and optimized CI/CD pipelines with Jenkins, SonarQube, and Maven. Monitoring and Observability: Implemented Prometheus, Grafana, and New Relic for real-time monitoring and end-to-end application observability. Disaster Recovery and High Availability: Executed a failover recovery plan between on-premises servers and AWS EC2 Reserved Instances to achieve zero downtime during critical operations. Cyber Security and Compliance: Strengthened AWS Cloud security by implementing IAM policies, fine-tuning security groups, ensuring secure container deployments, and following security best practices for applications and data. Recent Highlights Amazon Lex Chatbot: Developed a bilingual chatbot with Amazon Lex, enabling seamless client communication and automating booking workflows. Apache Kafka Secure Deployment: Built a highly secure cloud architecture to support an Apache Kafka streaming application, ensuring optimal performance and security. ECS and Kubernetes: Delivered containerized solutions using Amazon ECS for high-throughput workloads and orchestrated Kubernetes deployments for scalable applications. AWS Lambda Projects: Designed and implemented serverless solutions leveraging AWS Lambda, API Gateway, and DynamoDB for cost-efficient, event-driven architectures. Cyber Security: Enhanced AWS Cloud Cyber Security infrastructure by implementing robust security configurations across all deployed services.

Most clients find me after wasting weeks on engineers who deploy fast but leave security gaps, brittle scripts, and zero documentation behind. Well, I do the opposite. I'm a DevSecOps engineer with 7+ years building cloud infrastructure that is production-hardened from day one, not secured as an afterthought. AWS, Kubernetes, CI/CD, secrets management, container security, GDPR-compliant workflows, all of it built clean and documented properly. I'm also one of the few engineers who builds AND secures AI agent systems. LangChain, CrewAI, RAG pipelines, MCP servers, I understand the attack surface of modern AI infrastructure that most security engineers have never touched. 🔐 Security & DevSecOps 🔹 Linux Hardening: firewalls, iptables, SSH lockdown, fail2ban, SSL/TLS 🔹 Secrets Management: HashiCorp Vault, AWS Secrets Manager, Azure Key Vault, GCP Secret Manager 🔹 Container Security: Docker Hardening, Kubernetes RBAC, Network Policies, Pod Security Standards 🔹 Server Management: WHM, cPanel, Plesk, Webmin, Virtualmin 🔹 GDPR-ready Workflows: encrypted APIs, secure backups, access control 🔹 CI/CD Security: secrets scanning, signed images, GitHub Actions, GitLab CI, Jenkins ☁️ Cloud Infrastructure & DevOps 🔹 AWS, GCP, Azure, DigitalOcean: deployment, scaling, cost optimization 🔹 Infrastructure as Code: Terraform, Pulumi, Ansible 🔹 CI/CD pipelines: GitHub Actions, Jenkins, GitLab CI 🔹 Container orchestration: Docker, Kubernetes, Helm 🔹 GitOps: ArgoCD, Flux 🤖 AI Infrastructure & Automation 🔹 Multi-agent systems: LangChain, LangGraph, CrewAI, AutoGen 🔹 Model Context Protocol (MCP) server integration 🔹 RAG pipelines & vector search: Pinecone, Qdrant, Weaviate, ChromaDB 🔹 LLM app builders: Dify.ai, Flowise 🔹 Multi-model routing: OpenRouter 🔹 AI agents: Claude, ChatGPT, Gemini, Azure OpenAI, AWS Bedrock 🔹 Local LLMs: Ollama, Mistral, Llama on Linux servers 🔹 Workflow automation: n8n, Make, Zapier, APIs & webhooks 💻 Full Stack & WordPress 🔹 Backend: Laravel, Node.js, Java, NestJS, Python, Go 🔹 Databases: PostgreSQL, MySQL, MongoDB, Redis 🔹 WordPress: Elementor, Divi, Bricks, Oxygen, WP-CLI, Gutenberg, Headless WordPress 📊 Monitoring & Reliability 🔹 Observability: Prometheus, Grafana, OpenTelemetry, ELK Stack, Sentry, CloudWatch 🔹 Automated backups: Rclone, AWS S3, GCP buckets 💼 You're a great fit if you are: 🔹 A startup that needs infrastructure secured from day one 🔹 An agency that wants one reliable long-term technical partner 🔹 A business running AI agents that needs someone who understands both the build side and the security risks Tell me what you're building. I'll make it secure, automated, and production-ready.

I’m an AWS Certified Solutions Architect – Professional with multiple AWS specialty certifications and hands-on experience designing scalable, secure cloud architectures. I help businesses migrate applications to AWS, improve infrastructure reliability, and implement DevOps best practices. My AWS Certifications: • AWS Certified Solutions Architect – Professional • AWS Certified Security – Specialty • AWS Certified Advanced Networking – Specialty • AWS Certified Solutions Architect – Associate • AWS Certified Cloud Practitioner I can help with: • Cloud migration to AWS • High-availability architecture design • DevOps automation and CI/CD pipelines • Infrastructure security and networking • Application deployment and monitoring I also teach AWS concepts on my YouTube channel(Learn Tech), helping engineers understand real-world AWS architecture and best practices.

🎁 𝐆𝐄𝐓 𝐘𝐎𝐔𝐑 𝐅𝐑𝐄𝐄 𝐀𝐈 𝐑𝐄𝐀𝐃𝐈𝐍𝐄𝐒𝐒 𝐀𝐔𝐃𝐈𝐓 - send me a message and I'll analyze your stack, data pipelines, and AI use cases in 3-5 days. I work as a Machine Learning Engineer, AI Engineer, DevOps Engineer, and Python Developer delivering production Machine Learning systems and AI solutions using Python, with a strong focus on LLM, RAG systems, Computer Vision, and full MLOps / DevOps infrastructure. I operate with a team of 90+ engineers across Machine Learning, DevOps, and Backend, delivering complex Machine Learning and AI systems end-to-end, from data pipelines to deployed, monitored, and scaled systems in production for US and European clients. I'm a Machine Learning Engineer, AI Engineer, and Python Developer with 10+ years of experience building Machine Learning systems and AI solutions using Python for SaaS, fintech, manufacturing, and enterprise companies. As a Machine Learning Engineer, I combine Python, Deep Learning, NLP, Computer Vision, and LLM technologies to build scalable, production-grade Machine Learning systems that solve real business problems. 💻 As a Machine Learning Engineer, AI Engineer, and RAG Developer, I build RAG systems and Retrieval-Augmented Generation pipelines using Python, vector databases, semantic search, and knowledge retrieval systems integrated into production workflows. As a Machine Learning Engineer working with RAG pipelines, I design systems connected to SQL databases, CRMs, and internal knowledge bases. One Machine Learning-powered RAG system reduced support workload equivalent to 3 full-time employees, cutting response time from hours to seconds. As an AI Agent Developer using LangGraph and CrewAI, I build multi-agent Machine Learning systems where each agent handles retrieval, reasoning, and execution in a single production pipeline. 🤖 As a Machine Learning Engineer, AI Engineer, and LLM Developer, I deliver end-to-end LLM integration using Python and models like GPT-4/5, Claude, LLaMA, and Mistral. I build AI agents, AI copilots, and Machine Learning-driven automation systems integrated into enterprise workflows. As a Machine Learning Engineer, I handle prompt engineering, context engineering, embedding pipelines, vector databases like Pinecone, Weaviate, and Chroma, and optimization of Machine Learning and RAG systems in production environments. 👁️ As a Machine Learning Engineer and Computer Vision Engineer, I develop Computer Vision systems using Python, YOLOv8, Detectron2, and OpenCV for object detection, segmentation, and real-time analytics. I delivered a Machine Learning system that replaced manual inspection in manufacturing and reduced defect escape rate to near zero. I also build Document AI systems using OCR tools like Textract and Google DocAI, including full Machine Learning pipelines for processing noisy and unstructured data. 🧠 As a Machine Learning Engineer and NLP Engineer, I build Machine Learning systems using Python for Named Entity Recognition, text classification, semantic search, multilingual NLP, question-answering systems, sentiment analysis, and topic modeling. I combine traditional Machine Learning approaches with LLM technologies to deliver production-ready language systems. ⚙️ As a Machine Learning Engineer, MLOps Engineer, and DevOps Engineer, I design, deploy, and scale Machine Learning systems in production using Python and cloud infrastructure. I build Machine Learning and AI infrastructure with Kubernetes, Docker, Terraform, Ansible, Jenkins, Kafka, Grafana, Prometheus, and NGINX across AWS, Google Cloud, and Azure. In one DevOps and Machine Learning case, deployments scaled from 1 per month to 120 per month, deployment time decreased by 85%, and infrastructure costs were reduced by 55%. As a Machine Learning Engineer and DevOps Engineer, I don't just build models - I deploy, monitor, optimize, and scale Machine Learning systems in real environments. I build Machine Learning systems using Python, AI solutions, LLM applications, RAG systems, Computer Vision pipelines, NLP systems, and scalable MLOps / DevOps infrastructure that works in production. If you're looking for a Machine Learning Engineer, AI Engineer, Python Developer, or DevOps Engineer who understands Machine Learning systems, DevOps infrastructure, and real business workflows - you're in the right place. 🚀 If you're building or scaling a Machine Learning or AI product and need a Machine Learning Engineer, Python Developer, or DevOps Engineer who can design, build, deploy, and scale real production systems - not just prototypes - I can help. Most clients come when their Machine Learning systems are slow, unstable, or not delivering results. I redesign, optimize, and turn them into scalable Machine Learning and AI systems powered by Python and reliable DevOps infrastructure. 📩 Send me a message with your current setup, and I'll tell you what's missing, what can be improved, and whether your Machine Learning system is ready for prod

Full time freelancer | 🏆 Top 1% Talent on Upwork | Top Rated ⭐️ DevOps & Cloud Engineer and Full Stack Developer | Automation Expert | Certified Multi-Cloud Architect 🏆 What do I offer: 1- 100% work satisfaction 2- 24/7 Support 3- On-time delivery 4- Enterprise quality 🚀 DevOps Engineering | Full Stack Development | CI/CD | Infrastructure Automation | Cloud Automation Designing and deploying secure, scalable, and highly available infrastructure tailored to your business needs. Providing end-to-end project support for smooth deployments and seamless integrations. Offering custom training and mentoring to help teams quickly adopt DevOps best practices. 🔧 Scripting & Automation | Linux | Monitoring & Optimization Expert in Bash, Python, and other scripting languages to automate workflows, boost efficiency, and minimize errors. Creating reusable scripts and solutions that streamline processes and enhance system reliability. Implementing monitoring and optimization strategies for better performance and troubleshooting. Full Stack Development ✔Frontend: React.js, Next.js, Vue.js ✔Backend: Java, Django Python, Node.js, Express.js, Django, FastAPI, Flask ✔Databases: Oracle,MongoDB, PostgreSQL, Firebase, Redis ☁️ Cloud Architecture & Consulting | AWS | Azure | GCP Certified multi-cloud architect guiding businesses through migration, setup, and optimization on AWS, Azure, and GCP. Extensive experience with tools like Docker, Kubernetes, Terraform, and more to build modern infrastructure. Focused on cost efficiency, security, scalability, and performance tuning for cloud-native solutions. ✅ What Clients Can Expect: ✔ Reliable, on-time delivery and fast, clear communication ✔ High-quality, maintainable code designed for growth ✔ Proactive support during and after the project lifecycle ✔ Practical, results-driven solutions customized for your goals Why Work With Me? 7+ years of hands-on experience in cloud architecture, infrastructure automation, and scripting across industries. Deep knowledge of UNIX/Linux systems, Kubernetes, Terraform enabling robust and optimized solutions. Expertise in CI/CD pipelines using Jenkins, GitHub Actions, GitLab, and other tools—helping startups and enterprises accelerate deployments. Proven mentor, having guided engineers to tackle real-world challenges effectively. If you're looking to transform your infrastructure, automate workflows, or implement cloud solutions with reliability and efficiency, let's connect and create something exceptional.