Responsibilities So Far-

Design & define implementation techniques for product features w.r.t model, services, usability,backend
architecture , integrations, data syn mechanism from multiple CRM’s

Design & define Saas service models of product and how it will expose to customers and end users.

Daily scrum with developers, leads & Product chief for updates, blockers and issues on implementations.

Design & implemented SAAS Tier Model for customer onboarding , migrations & offboarding on AWS cloud.

Developed microservices using django & python on postgres , hosting in multiple environment using docker &
kubernetes containers.

An automated deployment mechanism using kubernetes deployment rollout from AWS codebuild.

Designed & Setup end to end monitoring w.r.t infrastructure and application services on ELK, Maintained live
logs syn using filebeat.

Designed & setup application Kubernetes pods on AWS EKS cluster.

Designed & lead the team to create backend of user management , license of SAAS product using AWS
cognito user pools and Identity management

Designed & led the team for SAAS hosting in multi tier environment in different AWS regions.

Designed & created kubernetes multi node installer on AWS with v1.15.1

Created kubernetes deployment files using Helm.

Responsibilities So Far-
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Engagement with client BA , gather Business requirements.

Responsible for acceptance criteria discussion in order to map business requirements in story transformation.

Responsible for end to end solution design with backend developers.

Weekly deep drive with enterprise solution discussion.

End to end discussion with QA lead,In order to deliver robust product.

Engagement with client SME , gather development requirement.

Managed Services
○
Create and manage cloud formation template stacks for provisioning and deployment of application
infra.

Design and implement automated notification services using Lambda and SNS.

Daily backup managing over S3 for different environment.

Managing AWS multiple account for daily Infra request.

Documentation of Cron jobs

Create and manage automated code deployment with AWS codecommit and Opswork.○

Daily scrum meeting with client for task entitled and project updates.
Design and development with the support of python scripts for syn between application workflow.
EM7 Application administration for accounts, users, clients, monitoring, notifications.
Roles -
Deployed API Gateway with authentication (Token, Keys) and authorization using RBAC mechanism in
multiple client infra.
Created REST API based microservices for platform product.
Created and implemented Automated CI|CD pipelines using Jenkins and Puppet.
Performed Container based hosting for each service..
Specific monitoring feature implemented over backend and infra- CloudWatch and Graphite, ELK.
Designed and deployed Auth mechanism service using Token, keys with RBAC on microservices
environment.
Consumed AWS services in RESTAPI development for EC2, ECS-EKS, S3, ELB, NLB, API Gateway, Config,
Lambda, RDS, Elasticache for REDIS, SNS.
Designed business logic for all backend process in REST architecture.
Consumed Django REST framework in multiple microservices for Lead management applications.
Hosted microservices in kubernetes containers and managing those with helm and KubeCTL.
Engage in Code Review with code coverage process and responsible for production Go-NoGo
Design and implement SOLR Architecture and services with zookeeper.
Migration from low level to high availability architecture.
Implementation with an automated real time data syn between SOLR and CRM services on Mobility platform.

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Daily Scrum call with Developers and Scrum manager.
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Responsible for acceptance criteria discussion in order to map business requirements in story
transformation.
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Responsible for end to end solution design with backend developers.
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Weekly deep drive with enterprise solution discussion.●
●
Discussion and create an action plan for Infra monitoring team.
Managing Team of DevOps with technical tasks.
Roles(standalone) -

Design and provision of SOLR and ZooKeeper architecture in AWS cloud with high availability.
Configure cluster in a production environment.
Collection analysis.
Infra Auto Scaling template setting while peak business hours.
Hosting static pages in S3 with automated deployment using Code pipelines.
Implemented CloudFront , Route53, Lambda in front of S3 hosted websites.
Integration of ELK pipelines with Ec2 nodes with node and application logs monitoring, using Filebeat.
Overall monitoring Kubernates pods on cluster and nodes
Automated alerts setup for pods health
CI CD & CS for automated docker images deployment on server
Setup and create Kafka services for backend applications
Kafka integration with all 1000 nodes to ingest data logs for business analysis

Daily Task Admitted by me -
●
Create managed cloud rules for AWS Client and end users

Create AWS rules using python 3.x

Create business logic layer for rules.

Create AWS resources fetcher, evaluator and action layer code for Rules.

AWS resources - S3 , VPC, NAT, API Gateway, EC2, ELB, EBS, Aws config, Dynamodb, Lambda,
SNS, SQS, SES.

Work on fully Agile env- using Confluence and JIRA.

Create Design document on Confluence for each a
ssigned ​ user stories.

Responsible for end to end Automated deployment.

CI\CD creation using Jenkins, GIT , Chef over AWS.

Create Cloud Solution template(CST ) using Python and Terraform on AWS.

Hosting microservices using Docker and Kubernetes.

Cluster management using K8's

Development Daily Task Admitted by me -
●
To work on multiple POC(proof of concepts ) as per JIRA stories.

To work on Application shared service framework development and microservices creation using python
and Django REST framework

To work on Application components development from scratch as per user stories.

Create python Puppet configuration scripts for Automation in AWS cloud environment.

Develop python Multithread logic based components for application which have a service that can be
used by multiple customers on same time over cloud.

Create Design document on Confluence for each a
ssigned ​ user stories.

Create Cloud Solution template(CST ) using Python and Terraform on AWS.

Automation Tools – ​ Puppet, Fiddler,

Scripting Language used to Automated the Scripts and Frameworks for applications – ​ Python 3.X

Database – ​ MySQL and MONGODB

Automated Recorder – ​ Selenium 2.0 and 3.0 – Remote ,webdriver and GRID.

Python Tech Headlines – Python 3.6 , Pycharm , sublime , Django 1.4.

Automation Documentation – ​ Cucumber
- Elastic Search for Data analysis and bulk upload
Ticketing tool – ​ JIRA and Confluence
Cloud Provider – ​ AWS
Reports Generation ​ – Json Format
OS ​ – Ubuntu
Version Control ​ – GIT
Build Storage – ​ Artifactory
Virtualization ​ – Docker
Automated Cloud Deployment manager ​ – Kubernetes , CHEF

Worked with multiple Project -
Python Django Api Development
DataLake - Development and support
Api - Features addition and support
ElasticSearch based - Data Analysis application for Loans
Code Deployment
Infra Management and Networks
VPN Security and Infra
Kafka with MQ for messaging and logs processing

Project A ​ - ​ Designed and developed advanced real-time information visualization application using Python
on Django framework.
Project B – Develop a socket programming code in Python for Server Side Communication.