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Senior Aws Solution Architect/devops Engineer Resume

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SUMMARY

  • Highly skilled, self - motivated and results-driven cloud IT professional with about 8+ years of working experience in Architecting Cloud Solutions (AWS) in different environments.
  • Master and Proficient in cloud automation, orchestration, security, Identity & access management, event management, data protection, monitoring, governance and compliance, application delivery, image and patch management.
  • Highly experienced in building, planning, implementing and maintaining system applications on AWS Cloud platforms.
  • Problem solver and committed team member with flexibility to adapt in all environments.

TECHNICAL SKILLS

Network: VPC, VGW, TGW, CGW, IGW, NGW, Client VPN

Data Protection: AWS Certificate Manager, AWS KMS, AWS Cloud HSM, SSL Certificate lifecycle management, Snapshot Lifecycle Manager.

AWS Security: AWS Security Hub, AWS Guard Duty, AWS Shield, AWS Firewall Manager, AWS Inspector, MFA, access key rotation, security groups and NACLs, data encryption using KMS, S3 bucket policies, mitigating DDOS attacks etc.

Database Design: RDS, Amazon Aurora, DynamoDB etc.

Monitoring & Event Management: AWS CloudWatch (Events & Logs), AWS SNS, AWS SQS, AWS S3

Application Delivery ( CI/CD): Jenkins, Bitbucket, AWS Code Pipeline, AWS Code Commit, AWS Cloud9

Identity & Access Management: AWS Organization, AWS IAM, AWS AD Connector, Active Directory, AWS Workspaces, AWS Secrets Manager

Governance & Compliance: AWS Config Rules, AWS Organization, AWS Control Tower, AWS Trusted Advisor, AWS Well Architected Tool, AWS Budgets, AWS License Manager

Programming Languages: Bash, JSON, YML, Python

Cloud Orchestration/Automation: AWS CloudFormation, AWS Lambda, AWS Systems Manager, AWS SSM Parameter Store, Ansible, Docker, Microservices.

Self Service: Service Catalog

Image & Patch: AWS SSM Patch Manager, AWS Golden AMI Pipeline

AWS Platform: AWS CloudFormation, AWS Lambda, AWS Systems Manager, S3, VPC, EC2, ELB, SNS, SQS, SES, Route53, CloudFront, Service Catalog, AWS Auto Scaling, Trusted Advisor, CloudWatch etc.

PROFESSIONAL EXPERIENCE

Confidential

Senior AWS Solution Architect/DevOps Engineer

Responsibilities:

  • Configuration of Continuous Integration (CI) and Continuous Delivery (CD) using Code Pipeline and Code Deployment for automation.
  • Use CloudFormation and terraform to provision, manage and configure AWS services in a global configuration.
  • Working with configuration management tools like Ansible, Source Code Management tool GitHub and Jenkins for Continuous Build Management.
  • Use the AWS KMS
  • Use Jira to plan, track, support and close requests, tickets and incidents.
  • Experience in Shell, Bash, YAML, Json and Python scripting languages, for day-to-day automation operations.
  • Design and architect self-healing, secured, highly available and fault tolerant infrastructure in AWS.
  • Use SSL certificate manager lifecycle to consolidate Deploy, renew track and manage keys.
  • Experience in creating and editing shell, bash and python scripts for automation.
  • Architect Amazon RDS with Multi-AZ for automatic failover.
  • Implemented maintenance and configuration of user account for Dev, QA and production servers and created roles for EC2, RDS, S3, Cloud Watch resources to communicate with each other using IAM.
  • Experience in migrating and implementing of multiple applications from on premise to cloud using AWS services, SMS, DBMS, Cloud Endure, Cloud Formation, S3, Route 53, Glacier, EC2, RDS, SNS, Lambda, VPC, Cloud Trail, API gateway.
  • Build and configure a virtual data center in the AWS Cloud to support Enterprise Data Warehouse hosting including Virtual Private Cloud (VPC), Public and Private Subnets, Security Groups (SG), Route Tables, Elastic Load Balancers ELB), Route 53.
  • Build servers using AWS, importing volumes, launching EC2, RDS, creating SG, auto-scaling, ELBs in the defined VPC.
  • Designed AWS CFT’s to create multi region web applications and databases.
  • Using CloudWatch, VPC Flow Logs to monitor and retain account activity related to actions across AWS infrastructure.
  • Leverage AWS System Manager to automate communication between S3 and other AWS services.
  • Solution VPCs for various environments including NAT Gateway, VPC Peering and Transit Gateways.

Confidential

AWS Infrastructure/DevOps Engineer

Responsibilities:

  • Configuration of Continuous Integration (CI) and Continuous Delivery (CD) using Code Pipeline and Code Deployments for automation.
  • Responsible for launching Amazon EC2 instances using AWS (Linux) and configuring launch instances with respect to specific applications and regions.
  • Responsible for S3 buckets creation, policies and IAM role-based policies.
  • Build servers using AWS importing volumes, lunching EC2 instances, RDS, creating SGs and NACL, auto-scaling, ELB in the defined VPCs.
  • Responsible for creating monitors, alarms, and notifications for EC2 hosts using Cloud Watch, SNS, SMTP.
  • Migration and implementation of multiple applications from on premise to cloud using AWS services like, CloudFormation, S3, Route 53, EC2, RDS, SNS, Lambda, Kinesis and VPC.
  • Work with internal teams to create the migration process of legacy systems to AWS cloud.
  • Work with business unit managers to understand project scope, suggest possible alternatives and document each step of the design.
  • Work with Security division to design and manage IAM roles for users, vendors and other third-party vendors, Encrypting data.
  • Work with several third-party vendors in big data and other areas to support our overall cloud initiative.
  • Partner with the sales team, formulate and execute a sales strategy to exceed revenue objectives through the adoption of AWS

Confidential

AWS Solution /Certified Scrum Master

Responsibilities:

  • Used CloudFormation and terraform to provision, manage and configure AWS services in a global configuration
  • Design and Built multi-AZ, multi-region deployment of EC2 instances, ELB health checks, Auto Scaling and other disaster recovery models.
  • Optimized cloud infrastructural cost and performance using the AWS prancing Calculator.
  • Designed and implemented for elasticity and scalability using CloudFront - Edge locations, RDS (read replicas, instance sizes)
  • Led daily scrum stand-ups and Agile development sprint planning meetings for multiple, concurrent projects
  • Trained and mentor team members on best and most effective ways to use Scrum processes to improve efficiency and reduce production times
  • Lead Agile teams in the development of data warehouse, business intelligence, data lake and cloud technologies within Agile environment
  • Assessed team metrics and worked to drive improvements and innovate new approaches
  • Managed multiple internal and outside scrum teams, ensuring effective collaboration and communication
  • Coached teams on how to best refine the backlog and create stories
  • Removed impediments and barriers to the team progress
  • Drove and managed transparency through relevant JIRA dashboards and metrics for continuous improvement to communicate project/team health and status
  • Ensured strong working relationships between the team and others outside of the team
  • Track team progress using burn down chart, burn up and velocity

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