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Sr. Site Reliable Engineer /devops Engineer Resume

Manhattan, NY

SUMMARY

  • CSM Certified Professional with over 8 years of successful professional experience in the IT industry as a DevOps and Site Reliable Engineer.
  • Familiarity with Reliability techniques, Root Cause Analysis and Reliability Centered Maintenance.
  • Ability to resolve technical issues and manage on - call duty.
  • Experience includes SCM, DevOps, Build Release Management, and Cloud Management.
  • Supported AWS & AZURE Cloud environment with more than 100 AWS instances and configured Elastic IP Elastic Storage and also experience working on implemented security groups.
  • Building, Continuous Deployment, Integration, Planning, Testing and release of various Software applications for business using Kubernetes, Subversion, Git, CVS, Jenkins, AWS, ANT and Ansible tools.
  • Experienced in Amazon EC2 setting up instances as well as migrating data to AWS and Azure from data Center, Configuring and Networking of virtual private cloud (VPCs).
  • Designed highly available, cost effective and fault tolerant systems, Auto Scaling and ELB. Utilized EBS to store persistent data and mitigate failure by using snapshots.
  • Used Jenkins as Continuous Integration tool: creating new jobs, managing required plug-ins, build trigger, build system and post build actions, scheduled automation builds.
  • Experience with any industry DevOps tools, open source technologies and cloud services starting from BitBucket, Artifactory, Jenkins, Ansible, Docker, and Kubernetes.
  • Experience on configuration management (Ansible) and continuous integration (Jenkins).
  • Deployment of Swarm Cluster for Jenkins builds tooling.
  • Understanding of cross platform environments (UNIX, MacOS, Java).
  • Configured and used nginx as a load balancer to route the requests from users to the web applications hosted on two different WebLogic servers.
  • Good knowledge on DNS, DHCP, TCP/IP, HTTP, HTTPs, SSH.
  • Maintain performance metrics and monitoring for microservices architecture and operations environment.
  • Good knowledge in relational and NoSQL databases like MySQL, SQL Server, Oracle, DynamoDB and MongoDB.

TECHNICAL SKILLS

Cloud Infrastructure(AWS): Docker, Kubernetes, EKS cluster, Elastic Container Service, Jenkins-CI, ALB ingress

Project Management: JIRA, Trello

Database: MongoDB, MySQL, MsSQL, PostgreSQL

IDE: Visual studio, Eclipse, IntelliJ, SSMS

Languages: Bash Script, GitHub, Groovy(JenkinsFile), Ansible, Java, JavaScript, YAML, Jira, EmberJs, Node Js

SDLC Processes: Agile, Waterfall

PROFESSIONAL EXPERIENCE

Confidential, Manhattan, NY

Sr. Site Reliable Engineer /DevOps Engineer

Responsibilities:

  • Define and deliver SRE standard methodologies across the team.
  • Testing and supporting a highly scalable, highly available online service.
  • Developed, tested and implemented new microservices; configured and maintained pipeline framework.
  • Improve security and performance of infrastructure by working with other teams.
  • Enhanced the monitoring of the production environment to ensure a speedy resolution of issues.
  • Automate manual processes to increase reliability and time to market, reduce the cost.
  • System architect and Implement MlOps.
  • Scale Pods during modelling of data.
  • Maintain ETL pipeline using stitch data and Snowflake.
  • Experience in Automation, Configuring and Deploying AWS Resources like ECS, App Service, Application Gateway, API Management (Istio), Container Insights, KMS, Amazon Relational Database Service, Amazon Simple Storage Service, Virtual Machines, Subnets, Virtual Networks.
  • Used Kubernetes to manage containerized applications using its nodes, Config Maps, selector, Services and deployed application containers as Pods and for automating deployment, scaling and operations of applications containers across clusters of hosts, providing container centric infrastructure.

Environment: AWS, VPC, NAT, IAM, S3, ELB,, Docker, Kubernetes, Jenkins,, GIT, Nginx Ingress, Datadog (Log, APM).

Confidential, NYC, NY

Site Reliable Engineer / Sr. DevOps Engineer

Responsibilities:

  • Maintain Service Level Objective in 2 Sprint period to achieve Service Level Agreement.
  • Maintain the system as per Service Level Agreement.
  • Worked as an internal system architect and DevOps role.
  • Worked on the migration from on premise station to AWS, used Kubernetes for infrastructure AWS by creating EKS.
  • Experienced in Automating, Configuring and deploying the artifacts in Instances on AWS environments and in Data centers also designing for Auto Scaling using templates (Cloud Formation).
  • Optimized CDN and hosting using CloudFront.
  • Experience in Automation, Configuring and Deploying AWS Resources like ECS, App Service, Application Gateway, API Management (Istio), Container Insights, Amazon Relational Database Service, Amazon Simple Storage Service.
  • Designed a Multi-Stage Pipeline for development and staging.
  • Configured Identity Access Management (IAM) Group and users for improved login authentication and managed those IAM accounts (with MFA) and IAM policies to meet security audit compliance requirements and efficiently.
  • Providing Development and support of CI/CD pipelines and release processes using CodePipeline DevOps process.
  • Provisioned AWS EC2, EBS, Trusted advisor, S3, CloudWatch, CloudFront, IAM, Security groups and auto scaling.
  • Used Kubernetes as orchestration that included nodes, Config Maps, selector, Services and deployed application containers as Pods and for automating deployment, scaling and operations of applications containers across clusters of hosts, providing container centric infrastructure.
  • Build the artifacts through Jenkins CI/CD and S kaffold pipeline using GitHub webhook.
  • Configure GIT with Jenkins and schedule jobs using POLL SCM option.
  • Coordinated with developers for establishing and applying appropriate branching, labeling/naming conventions using.
  • Implemented JIRA to track all Issues pertaining to the software development lifecycle & Integrated JIRA with repositories of Git to track all code changes.
  • Used Datadog to monitor/metric collection for applications in a cloud-based environment.

Environment: s: AWS, VPC, IAM, S3, EC2, Cloud Watch, ELB, Cloud Watch, Cloud Formation, Cloud Trail, CloudFront, Docker, Kubernetes, Jenkins, Scaffold, GIT, Apache, Nginx, Amazon RDS, Elasticsearch, VMware, JIRA, Datadog.

Confidential

DevOps Engineer / Site Reliable Engineer

Responsibilities:

  • Maintained the up time as defined in our SLA.
  • Reduced environmental cost using ECS(spot) and EKS(spot) for non-production based application.
  • Used Auto-deployment using Travis, Jenkins-CI to improve release time by 30%
  • Worked on the migration from VMware to AWS and used Chef to automate the infrastructure in AWS by creating EC2, S3, RDS, VPC and Route 53.
  • Experience in Automating, Configuring and Deploying the artifacts in Instances on AWS environments and in Data centers also designing for Auto Scaling using templates (CloudFormation).
  • Created Virtual Network with Frontend and Backend subnets, Assigned Frontend and Backend Network security group rules to these subnets by using JSON.
  • Worked on DevOps Multi -Stage YAML pipeline to Build and Deploy.
  • Designed Multi-Stage Pipeline with all the Approval Checks and Gates when it passes through all the stages like DEV, QA, Prod in Pipeline design created two different stages of Multi-Stage.
  • Configured Identity Access Management (IAM) Group and users for improved login authentication and managed those IAM accounts (with MFA) and IAM policies to meet security audit compliance requirements and efficiently.
  • Providing Development and support of CI/CD pipelines and release processes using CodePipeline DevOps process.
  • Created a pipeline for the Data factory and API for access to the on databases.
  • Creating builds using BashScripts for ANT/Maven/Gradle (Java), Python, npm scripts manually and automated.
  • Used Ansible to manage Web Applications, Config Files, Data Base, Commands, Users Mountpoints, and Packages.
  • Experience in writing playbooks for Ansible from scratch and integrated Ansible playbooks with Vagrant(localize) modules to combine infrastructure creation and configuration
  • Build the artifacts through Jenkins CI/CD pipeline wherein for every 1-hour triggering Poll SCM in the Build Trigger.
  • Resolved the issues occurred during the build process.
  • Build the deliverable artifacts using M AVEN as a build tool in Jenkins for Java applications and deploy them to various environments.
  • Configured Jenkins pipeline for auto deployment through continuous integration (Jar build, AMI creation, Integration test, contract test, performance test, deploy in Test environment and then into Production)
  • Built scripts using ANT and MAVEN build tools in Jenkins to move from one environment to other environments.
  • Developed build and Deployment Scripts using MAVEN as a build tool in Jenkins to move from one environment to other environments.
  • Configuring and managing an ELK stack, setup the Elastic search ELK Stack to collect, search and analyze log files across the servers and create optimized indexes and derived analytics on Elasticsearch data.
  • Used Datadog to monitor/metric collection for applications in a cloud-based environment.
  • Implemented Kubernetes Cluster management EKS (AWS Elastic Kubernetes Service) to configure AI based Projects (Training and Modeling).
  • Deployment using CodeBuild, CodeDeploy and CodePipeline.
  • Designed and managed continuous deployment of flagship SaaS sales lead generation platform.
  • Developed optimum server and infrastructure architecture for client deployments in cloud (AWS).
  • Maintained Continuous Integration and Continuous Delivery pipeline.
  • Used datadog and nagios to maintain server uptime along with api monitoring (datadog, nagios).
  • Auto Scaling using auto scaling group.

Environment: AWS, VPC, NAT, IAM, S3, EC2, Cloud Watch, ELB, Cloud Watch, Cloud Formation, Cloud Trail, CloudFront, Docker, Kubernetes, Jenkins, Ansible, Python, GIT, Apache, Nginx, Groovy, Shell Scripts, My SQL, Amazon RDS, Elasticsearch, Logstash, Kibana, VMware, JIRA, Datadog.

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