Results-driven DevOps Engineer with 5 years of hands-on experience building resilient cloud infrastructure, automating CI/CD pipelines, and driving DevSecOps transformation. Currently architecting high-availability trading platforms at NCDEX e Markets Ltd. handling 500K+ daily transactions with 99.9% uptime.

I specialize in:

• 🚀 Cloud-Native Architecture on AWS, Azure, and GCP
• ⚙️ Infrastructure as Code with Terraform and Ansible
• 🐳 Container Orchestration using Kubernetes and Docker
• 🔄 CI/CD Pipeline Optimization reducing deployment time by 40%
• 🤖 Agentic AI Integration for intelligent automation and predictive operations
• 💰 Cost Optimization achieving 15-20% cloud spend reduction

Infrastructure Impact:
  - Uptime: 99.9% across multi-region AWS deployments
  - Cost Optimization: 15-20% reduction in cloud spend
  - Automation: 60% reduction in manual provisioning time
  - Deployment Speed: 40% faster release cycles

Reliability Metrics:
  - MTTD: Reduced by 40% (Mean Time to Detection)
  - MTTR: 30 minutes (Mean Time to Resolution)
  - RTO: Improved from 12h to 2h (Recovery Time Objective)
  - RPO: Improved from 24h to 4h (Recovery Point Objective)

Scale:
  - Daily Transactions: 500K+
  - Microservices Dockerized: 50+
  - EC2 Instances Optimized: 100+
  - Monthly Cloud Budget: $200K+

March 2024 - Present | Mumbai, India

Leading cloud infrastructure and DevOps operations for 5 trading platforms (Commodity, Procurement, Emissions, Financing) serving 500K+ daily transactions.

🏗️ Infrastructure & Architecture:

• Architected multi-region AWS deployments with 99.9% uptime SLA
• Implemented 2 major modernization projects: Enterprise CI/CD pipeline & GitLab migration using Terraform IaC
• Reduced manual provisioning time by 60% and eliminated configuration drift

📊 Observability & Monitoring:

• Designed comprehensive monitoring platform with Prometheus, Grafana, Zabbix, and CloudWatch
• Implemented SLO-based alerting reducing MTTD by 40% and MTTR to 30 minutes

💰 Cost Optimization:

• Achieved 15% AWS cost reduction through instance right-sizing, auto-scaling policies, and resource scheduling
• Maintained 2% budget variance with $200K+ monthly cloud spend

🔒 Security & Compliance:

• Achieved 100% security patch compliance with automated vulnerability scanning
• Enforced least-privilege IAM policies and zero-trust network architecture
• Executed seamless migration from Amazon Linux 2 to Amazon Linux 2023 with zero critical downtime

👥 Leadership & Innovation:

• Mentored 4 junior DevOps engineers and conducted 3 internal training sessions
• Authored 9 Standard Operating Procedures (SOPs)
• Drove innovation initiatives: Agentic AI, Generative AI, MCP, RAG integration, and Terraform module standardization

October 2021 - March 2024 | Mumbai, India

Built and scaled cloud-native solutions across AWS, Azure, and Kubernetes, supporting growth from 1,000 to 50,000 daily users.

🔄 CI/CD Excellence:

• Engineered scalable Jenkins pipelines with automated testing and code quality gates
• Reduced release cycles by 40% and eliminated manual deployment errors

🐳 Containerization:

• Dockerized 50+ microservices and orchestrated via Kubernetes (EKS/AKS)
• Implemented auto-scaling, resource quotas, and network policies for zero-downtime rollouts

📈 Monitoring & Security:

• Deployed ELK stack for centralized logging and Prometheus/Grafana for metrics
• Enforced IAM role-based access, VPC isolation, and vulnerability scanning
• Reduced attack surface by 60%

💵 Cost Management:

• Right-sized 100+ EC2 instances and implemented spot instance strategies
• Reduced monthly AWS spend by 20% while maintaining performance

🌐 Network Architecture:

• Designed secure VPCs with custom subnets, route tables, NAT gateways, and VPN connections
• Created isolated environments enhancing data privacy and multi-tenant compliance

December 2020 - September 2021 | Mumbai, India

🚀 Pipeline Development:

• Built CI/CD pipelines using Jenkins and Docker
• Accelerated deployment cycles by 30% with automated workflows

📊 Monitoring Solutions:

• Created monitoring for 10+ microservices using Grafana and Prometheus
• Supported 99.9% test environment uptime

💾 Backup & Recovery:

• Automated backup processes using AWS Backup and custom scripts
• Improved RPO from 24h to 4h and RTO from 12h to 2h

AWS Services: EC2, S3, VPC, IAM, RDS, Lambda, EKS, CloudFormation, CloudWatch, Route 53, ElastiCache, SNS, SQS, CloudTrail, KMS, ELB/ALB/NLB

Expertise: EKS, AKS, Microservices Architecture, Service Mesh, Ingress Management, ConfigMaps, Secrets, Pod Design

Skills: CloudFormation, AWS CDK, State Management, Module Design, Remote Backends, Idempotent Configuration

Tools: Maven, Gradle, Jenkinsfile, Groovy, SonarQube, Blue-Green Deployments, Canary Deployments, GitOps

Stack: Zabbix, CloudWatch, AWS X-Ray, Distributed Tracing, Log Aggregation, Alerting, Dashboards

Practices: Vulnerability Scanning (Trivy, Clair), IAM Policies, CloudTrail, Security Groups, NACLs, OWASP, Fortinet NSE, Compliance Automation

Others: Oracle, SQL Server, MariaDB, SQLite, RDS Aurora, Clustering, Replication, Backup Strategies

Skills: Shell Scripting, REST APIs, API Testing (Postman, Thunder), YAML, JSON, XML

Platforms: Amazon Linux 2/2023, Ubuntu, CentOS, RHEL, Apache Tomcat, JIRA, Agile/Scrum, Confluence

Master of Business Administration - Information Technology (MBA-IT)
D. Y. Patil University (DPU) | 2025

Bachelor of Engineering - Computer Engineering
University of Mumbai | 2020

Diploma in Computer Engineering
Shivaji University | 2017

class NikhilBamane:
    def __init__(self):
        self.role = "DevOps Engineer"
        self.focus = ["Cloud Architecture", "Automation", "Agentic AI"]
        self.philosophy = "Automate everything, monitor everything, secure everything"

    def current_mission(self):
        return """
        Integrating Agentic and Generative AI into DevOps workflows
        to enable intelligent automation, predictive operations,
        and autonomous infrastructure management.
        """

    def specializations(self):
        return [
            "Multi-cloud strategy and migration",
            "High-availability architecture for financial platforms",
            "Cost optimization without compromising reliability",
            "DevSecOps and compliance automation",
            "AI-driven predictive monitoring and auto-remediation"
        ]

• 🔐 DevSecOps - Security integrated throughout the development lifecycle
• 🔄 GitOps - Git as single source of truth for declarative infrastructure
• 🏗️ Infrastructure as Code (IaC) - Version-controlled, repeatable infrastructure
• 🚀 CI/CD - Continuous integration and delivery pipelines
• 📊 Observability - Comprehensive monitoring, logging, and tracing
• 🛡️ SRE Practices - Site Reliability Engineering principles
• 🔁 Shift-Left Security - Early security testing in the development cycle
• 🌐 Multi-Cloud Strategy - Cloud-agnostic architecture patterns
• 🤖 Agentic AI in DevOps - Autonomous agents for intelligent operations

I'm open to Hybrid / Remote / On-site opportunities and willing to relocate for the right role.

Whether you're looking to:

• 🏗️ Build scalable cloud infrastructure from scratch
• 🔄 Transform your CI/CD pipelines
• 💰 Optimize cloud costs without sacrificing performance
• 🚀 Migrate to cloud-native architecture
• 🤖 Integrate AI into your DevOps workflows

Let's talk!