Hire the Best OpenShift Specialists in Ghaziabad, IN

I'm an experienced DevOps engineer with many years of experience in implementing automation, CI/CD pipelines and cloud infrastructure for various organizations. I have a strong background in leveraging tools like Jenkins, Git, Docker, Kubernetes, and AWS and also proficient in architecting AI/ML and data pipelines to process data at any scale without explosion in infra costs. I am always eager to learn new technologies and stay up-to-date with industry best practices to provide the most innovative solutions for my clients. I do my best to meet deadlines and expectations and try to deliver the best solution instead of just a working one. My skills:- - Kubernetes/Openshift - Docker - AWS - Terraform - Ansible - Linux - Kafka - Python - Kubeflow - DB(Mongo, Postgres, MySQL, Redshift) - lambda I look forward to working with you.

Resilient, observable infrastructure designed to scale with your business. Six years of GCP, Kubernetes, and SRE expertise reducing downtime, cutting cloud costs, and eliminating deployment risk. ● 6+ years of hands-on experience as a DevOps & Cloud Engineer specializing in Google Cloud Platform (GCP), Kubernetes orchestration, and SRE practices. ● Expertise in Infrastructure as Code (IaC) using Terraform and Ansible for automated, scalable, and resilient cloud architectures. ● Strong proficiency in Kubernetes (GKE & EKS), including cluster optimization, autoscaling, service mesh, and workload management. ● Advanced CI/CD automation skills using Jenkins, GitHub Actions, and GitLab CI for zero-downtime deployments. ● Deep Linux systems expertise with advanced shell scripting (Bash) and Python for system hardening and performance optimization. ● Specialized in Observability using Prometheus, Grafana, ELK, and Stackdriver to reduce incidents and monitor SLAs. ● Proven track record in designing secure, HIPAA-compliant, and multi-tenant SaaS infrastructures. KEY RESPONSIBILITIES 1. Cloud Architecture & Infrastructure as Code (IaC) ● Architected and deployed scalable GCP environments using Compute Engine, GKE, Cloud Storage, and VPC. ● Automated end-to-end infrastructure provisioning using Terraform modules for VPC, Cloud NAT, IAM, and Cloud SQL. ● Implemented configuration management via Ansible to ensure environment standardization and reduce operational overhead. 2. Kubernetes Orchestration & Containerization ● Designed and managed GKE-based microservices with node pool optimization and secure service communication. ● Hardened Kubernetes security using RBAC policies, network policies, and private clusters. ● Streamlined application packaging and deployment using Docker and Helm-based charts. 3. CI/CD Pipeline Engineering ● Engineered robust CI/CD pipelines in GitHub Actions, Jenkins, and GitLab CI for container builds and automated testing. ● Implemented advanced deployment strategies, including Canary, Blue-Green, and Rolling updates, improving system uptime by 35%. ● Integrated automated rollback mechanisms and artifact versioning to ensure delivery pipeline reliability. 4. SRE, Monitoring & Observability ● Built comprehensive observability frameworks using Prometheus, Grafana, and Stackdriver for real-time metrics and alerting. ● Integrated SLO-based alerting and error budgets into incident workflows to improve service reliability. ● Optimized system performance by automating failover, pod disruption budgets, and resilient service deployments. 5. Security, Compliance & Networking ● Ensured data protection and compliance (including HIPAA) using KMS encryption, IAM least-privilege, and audit logging. ● Secured cloud networks using VPC Service Controls, ingress/egress firewalls, and IAM conditions. ● Managed identity and access through IAM and RBAC to enforce strict tenant isolation in multi-tenant SaaS platforms. 6. Event-Driven & Serverless Solutions ● Designed high-performance event-driven workflows using Pub/Sub, Cloud Functions, and EventArc, achieving up to 60% latency reduction. ● Integrated Cloud Run for serverless execution and cost-effective scaling of background processes.

I help organizations architect, modernize, and scale enterprise software platforms and AI-driven solutions that power business-critical operations. Over the past 20+ years, I have architected and delivered enterprise-scale software platforms across Healthcare, Banking, Telecommunications, Aviation, Education, Government, Logistics, and Retail—helping organizations build systems that remain reliable, scalable, and maintainable as they grow. My role extends beyond implementation. I work closely with founders, CTOs, and engineering leaders to evaluate architectural trade-offs, reduce technical risk, define technology strategy, and guide products from concept through production deployment. 𝗖𝗼𝗿𝗲 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 ▔▔▔▔▔▔▔ 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲: ➜ Agentic AI ➜ Retrieval-Augmented Generation (RAG) ➜ Natural Language to SQL (NL2SQL) ➜ LLM Integration & Prompt Engineering ➜ AI Assistants & Enterprise Knowledge Platforms ➜ Intelligent Document Processing (IDP) ➜ Recommendation & Personalization Engines ➜ Predictive Analytics & Workflow Automation 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: ➜ Enterprise Web Applications ➜ SaaS Platforms ➜ Full-Stack Architecture ➜ Microservices & REST APIs ➜ Cloud-Native Applications ➜ Database Architecture & Optimization ➜ Authentication & Security ➜ Workflow & Business Process Automation ➜ System Integration 𝗦𝗲𝗹𝗲𝗰𝘁𝗲𝗱 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 ▔▔▔▔▔▔▔▔▔▔▔▔▔▔ The majority of these platforms were designed for high-volume enterprise environments, requiring scalable architectures, complex business workflows, secure integrations, and long-term maintainability. 𝗥𝗲𝗽𝗿𝗲𝘀𝗲𝗻𝘁𝗮𝘁𝗶𝘃𝗲 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀 & 𝗔𝗜 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀: ➜ Enterprise NL2SQL Intelligent Query Platform ➜ Retrieval-Augmented Generation (RAG) Knowledge Assistant ➜ AI Recommendation & Personalization Platform ➜ Intelligent Invoice Processing & Automation Platform ➜ Resume Screening & Candidate Evaluation Platform ➜ Fraud Detection & Transaction Monitoring System ➜ Enterprise Workforce Planning Platform ➜ University Inventory & Material Management Platform ➜ Warehouse Management System ➜ Transport Management System ➜ OrbitView – AI-Powered Geospatial Intelligence Platform 𝗖𝗼𝗿𝗲 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀 ▔▔▔▔▔▔▔▔▔ 𝗔𝗜 & 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: Python | OpenAI | Claude | Gemini | LangChain | TensorFlow | Keras | Scikit-learn | Vector Databases | Graph Databases 𝗕𝗮𝗰𝗸𝗲𝗻𝗱: FastAPI | Spring Boot | Node.js | Java | .NET | REST APIs | Microservices 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱: React | Next.js | TypeScript | JavaScript | Material UI | OpenLayers 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀: PostgreSQL | SQL Server | MySQL | Oracle | MongoDB 𝗖𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀: AWS | Azure | Docker | Kubernetes | Git | CI/CD 𝗪𝗵𝗮𝘁 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗩𝗮𝗹𝘂𝗲: ➜ Architecture-first thinking that reduces technical debt ➜ Production-ready engineering and scalable system design ➜ Clean, maintainable, and extensible code ➜ Clear technical communication with business stakeholders ➜ AI solutions focused on measurable business outcomes ➜ Long-term engineering partnership from architecture through deployment Whether you're launching a new AI product, modernizing an existing enterprise platform, or scaling a mission-critical application, I bring an architecture-first approach focused on long-term scalability, operational reliability, and measurable business value.