# Nitesh More - DevOps Engineer Source: https://hello.cv/niteshmore Boston ## Links - LinkedIn | https://linkedin.com/in/nitesh-more - GitHub | https://github.com/nitesh-more - Email - Phone ## About A highly accomplished DevOps Engineer with over 5 years of expertise in architecting and automating robust cloud infrastructure across AWS, Azure, and GCP. Specializes in GitOps workflows, Kubernetes (EKS/AKS), and CI/CD pipeline implementation, significantly enhancing system reliability and operational efficiency. Proven leader in driving innovation, evidenced by a 40% reduction in deployment time and a 25% improvement in Mean Time To Resolve (MTTR). ## Work ### DevOps Engineer | Allstate As a DevOps Engineer, pioneered GitOps deployment strategies and enforced SRE practices for mission-critical insurance APIs, significantly enhancing release frequency and system reliability. - Pioneered a GitOps deployment strategy using ArgoCD and Helm for a microservices platform on AWS EKS, increasing release frequency by 30% with zero rollback incidents. - Established and enforced SLIs/SLOs for mission-critical insurance APIs, leveraging the ELK Stack and Prometheus/Grafana, which reduced MTTR by 25%. - Automated security and compliance by integrating Nessus and Qualys as code within Terraform deployments, ensuring all AWS (EC2, S3) resources met security baselines before provisioning. - Collaborated with development teams to containerize legacy Java/Spring Boot applications into Docker images, optimizing dependencies to reduce image size by 20% and improve container startup time. ### DevOps Engineer | Zensoft Services Pvt. Ltd. As a DevOps Engineer, engineered end-to-end CI/CD pipelines and automated infrastructure management, leading to significant reductions in production incidents and improved security posture. - Engineered end-to-end CI/CD pipelines using Jenkins with integrated Tekton and JMeter performance testing, cutting production latency incidents by 30% and increasing build concurrency by 40%. - Automated infrastructure state management utilizing Ansible for patching and configuration across 50+ Azure Linux VMs, eliminating 80% of manual server configuration toil and ensuring environment consistency. - Enhanced microservices security by integrating container image scanning tools (Aqua, Trivy) into GitLab CI, automatically blocking deployments with critical vulnerabilities and maintaining a 100% secure security posture. - Scripted automated scaling procedures for PostgreSQL and MongoDB databases on AWS RDS, utilizing Python and Bash scripts triggered by CloudWatch alerts to maintain performance during peak load times. ### Cloud Infrastructure Engineer | Informative Web Solutions As a Cloud Infrastructure Engineer, standardized core networking, developed serverless automation, and optimized web server performance to enhance operational efficiency and system reliability. - Standardized core networking infrastructure (VPC, Load Balancers) across AWS using Terraform, decreasing infrastructure spin-up time for new projects by 60% through full automation. - Developed serverless and automation functions using Python and Node.js-based AWS Lambda to automate operational tasks, reducing operational expenditure on compute. - Implemented a comprehensive observability framework using Datadog to set up alerting for key application metrics, proactively identifying and resolving 90% of potential outages. - Optimized web server performance by configuring Nginx load balancing and reverse proxying for Apache Tomcat/Java applications, improving website traffic handling capacity by 25% and ensuring parity between Docker environments. ### Software Engineer Intern | Cyberedge Web Solution Pvt. Ltd. As a Software Engineer Intern, designed and automated CI/CD pipelines, developed RESTful APIs, and optimized SQL queries to improve system functionality and data retrieval. - Designed and automated CI/CD pipelines for AWS EC2 environments, improving delivery efficiency by 30%. - Developed RESTful APIs using JavaScript and Node.js, improving system functionality and operational efficiency by 20%. - Optimized SQL queries, reducing execution time by 25%, enhancing data retrieval performance and database efficiency. ## Education ### Northeastern University | Information Systems ### Pune University | Computer Engineering ## Languages - English ## Certificates ### Certified Kubernetes Administrator The Linux Foundation | 2026-02-03 | https://www.credly.com/badges/a100552b-a77a-4344-878f-04d1f1677397 ## Skills ### Languages & Databases Advanced - Java - Python - SQL - JavaScript - Bash - Oracle - MySQL - MongoDB - MariaDB - PostgreSQL - Redis - Redshift ### CI/CD & Automation Advanced - Jenkins - GitLab CI - ArgoCD - Tekton - GitHub Actions - Azure DevOps - Bitbucket - Maven - Gradle - Agile/Scrum ### Cloud Platform & IaC Advanced - AWS (EC2, S3, Lambda, IAM, CloudTrail, ECS, Fargate) - Azure (VMs, Functions) - GCP - VPC - Terraform - Ansible - Chef - Puppet - AWS CloudFormation - ARM Templates ### Containerization & Orchestration Advanced - Kubernetes (EKS, AKS) - Docker - Helm - OpenShift - Container Security (Aqua, Trivy) - Microservices ### Monitoring & Observability Advanced - Prometheus - Grafana - ELK Stack - Datadog - CloudWatch - Azure Monitor - Splunk - OpenTelemetry ### Reliability and SRE Practices Advanced - SLIs/SLOs - Incident Response - Runbooks - Chaos Engineering - Postmortems ### Networking & Security Advanced - Load Balancing (Istio) - DNS - TCP/IP - HTTP/HTTPS - SSL/TLS - Apache Tomcat - Nginx - ITIL - Nessus - Qualys ## Source Read this profile on Hello.cv: https://hello.cv/niteshmore Create your free profile at https://hello.cv