Amit Bhardwaj

Founder, Zopstix Innovations

Self Employed • Autônomo

Oct 2019 - Present • 6 yrs 10 mos

🚀 Founder @ Zopstix Innovations | DevOps | DevSecOps | Cloud | Compliance | Automation I help businesses automate, secure, and scale their infrastructure to accelerate software delivery. My focus is on eliminating bottlenecks, reducing operational risks, and driving efficiency through tailored DevOps, Cloud, and Compliance solutions. Key Focus Areas & USPs: ✅ End-to-End DevOps & DevSecOps Automation – From CI/CD pipelines to infrastructure as code (IaC), ensuring seamless deployment and security at scale. ✅ Cloud-Native Transformation – Helping businesses modernize legacy systems, migrate applications to Kubernetes, and optimize multi-cloud architectures. ✅ Infrastructure Resilience & Scalability – Designing self-healing, fault-tolerant infrastructure that adapts to dynamic workloads and business needs. ✅ Security & Compliance Integration – Embedding security best practices into DevOps workflows, ensuring compliance with industry standards. ✅ Optimized Monitoring & Observability – Proactive insights into system health, performance, and security through intelligent monitoring and logging. I have worked across Telecommunications, Big Data, and Cloud industries, helping organizations cut deployment times, enhance security posture, and drive cost efficiency through automation-driven strategies. 💡 Always open to discussions on DevOps, automation, and cloud strategy. If you're looking to solve scalability, security, or deployment challenges, let's connect!

Tech Lead - DevOps, Ampool(Acquired by HPE)

Unlisted • Período integral

Mar 2019 - Sep 2019 • 6 mos

Architected HA Hadoop/Spark clusters automated deployment using Ansible and Ambari blueprints across AWS/Azure platforms. Automated creation of hardened AMIs and VHDs through Terraform/Packer for secure and compliant deployments. Designed Jenkins-based release orchestration integrating QA automation, versioning, and dynamic playbook generation. Optimized cloud expenditure with Python-based EC2 lifecycle management, reducing idle instance costs by 30%.