• General Info
  • Experience
  • Education
K
DevOps
country flag
Kumar UTC+5.5
Available starting: April 1 Remote
Senior
25 $/hour 4000 $/month (160 hours/month)
rent from 1 month
General Info
Role
DevOps
Grade
Senior
Key skills
AWS
Azure
Azure Devops
Dart
OData
DevOps
Python
Deveops
Automation
iTools
GCP
Kubernetes
Docker
Jenkins
Pipelines
YAML
iReport
Haxe
Hive
Deployer
Projecto
Nginx
Apache
AgroCd
Agile
Evam
andt
Fork
Swing
FUSE
Data Science
Analytics
Google Cloud Platform
Storage
VPC
IAM
TOAD
DApp
SQL
MySQL
Google
Logging
Datadog
Splunk
Prometheus
Grafana
Terraform
Ansible
Integrations
Linux
Redis
Scheduler
Principle
Big Data
Hadoop
Shell Scripting
Spark
Kafka
CI/CD
Software Development
Framework7
CORS
phyton
Glue
Node
Xcode
Bitbucket
Git
SOLID
Gradle
Maven
Testing
Selenium
Jitsi
JUnit
SonarQube
Nexus
API
ARIS
xAPI
Podman
Kubernetes (K8s)
GitLab
JFrog Artifactory
Jira
Helm
Dell
Slack
CloudFormation
CDK
Dask
Security
BigQuery
Redshift
Kinesis
ETL
DBMS
Bash
Scikit-learn
Keras
PyTorch
TensorFlow
Data Quality
Workflow
Moor
Microservices
Data Security
Cloud Services
Lambda
S3
RDS
PySpark
Data Lake
Flask
IDEF
MSDE
VPN
Scripts
Serverless
Google big query
DynamoDB
Databases
.NET
Knex
Vnet
API Gateway
Appsync
SQS
SNS
Elastic
CloudWatch
Ramda
EC2
Intl
Snowflake
Just
Rust
CodePipeline
CICD
Data Factory
Stored procedure
Data Analysis
AWS S3
JDeveloper
uDeploy
HBase
BLoC
Azure VM
Administration
Groovy
GitHub
IaaS
Network
WebSphere
Languages
  • English - C1
Domains
Banking
Retail & E-commerce
SaaS
BIO
 Having Strong 5+ Years Of Experience AWS Engineer, Azure Engineer, MLOPS Engineer, Azure DevOps Engineer, Data DevOps Engineer Implemented with Python DevOps Automation tools , DevOps DevSecOps,GCP Cloud Engineer,  Excellent working knowledge on Kubernetes, Cloud (AWS/GCP/Azure), DevOps, Python, Docker, Jenkins technologies.  Pipeline YAML pipeline job access tokens pipeline reports, Have deployed multiple projects on different servers Nginx, Apache, ArgoCD  As a Cloud DevOps engineer worked an agile team of Engineers and Operations personnel to build highly resilient, scalable, and performant GCP infrastructure in an automated and efficient manner.  As a DevOps engineer will work alongside the Application development teams and crossfunctional IT teams. using their initiative to innovate to achieve maximum performance and be prepared to investigate and use new products/services offered by GCP.  As a Data Science & ML & AI Engineer Strong knowledge of Data Science/Data Analytics life cycle processes, tools & techniques  Demonstrable GCP (Google Cloud Platform) experience - infrastructure build and configurations of a variety of services including Compute, Storage, SDN (VPC and XPN); Cloud IAM, Cloud CDN, Cloud Load Balancing, Cloud Storage, App Engine, Cloud SQL for MySQL.  Experience with Google Kubernetes Engine and Kubernetes Engine Monitoring, Experience with Logging, Monitoring, and Observability in Google Cloud Monitoring, DataDog, Splunk,Promethus, Grafana.  Automation scripting (using scripting languages such as Terraform, Ansible, Ability to quickly acquire new skills and tools  SRE team is responsible for the reliability and performance of our cloud infrastructure, the continuous integration and delivery pipelines, and the development tools used to build our services, Linux, Docker, Kubernetes, GCP/AWS, MySQL, Redis, Familiarity with Python,
Type of engagement
Specialist's location
India, Hyderabad, UTC+5.5
Ready for relocation
No
Partner's location
India country flag
Experience 3  (8 years 10 months)
Citi bank, USA
Role
Senior DevOps Software Engineer
Description of Project
Iris software india pvt ltd. Citi bank Inc. Citi is the leading global bank. Citi strives to create the best outcomes for our clients and customers with financial solutions that are simple, Headquarters: New York, Citi works tirelessly to provide consumers, corporations, governments and institutions with a broad range of financial services and products.Citibank is the consumer division of financial services multinational Citigroup.
Responsibilities
MLflow, Kubeflow, Airflow, Data Processing. implement fully automated CI/CD pipelines using Jenkins, Bamboo, and AWS technologies..  As Buliding/maintaining Docker container clusters managed by Kubernetes Linux, Bash, Git, Docker, on AWS/GCP, Working on Git, Maven, Dockers, Azure DevOps, Build and Packaging process, to build and packaging, SonarQube.  Experience on AWS Engineer with Python Scripting, Knowledge in Red Shift, Knowledge in AWS Lambda.  Buliding/maintaining Docker container clusters managed by Kubernetes Docker on AWS Code Build, Code Deploy, Code Pipeline/Google cloud platform.  Used Kubernetes to orchestrate the deployment, scaling and Mangement of Docker Containers. Open Shift container.
Technology Stack
GitHub, Maven, SonarQube, Nexus, Docker, GCP, EKS, Azure DevOps
Period
02.2022 — until now (4 years 3 months)
Education 2
School
PB Siddhartha College
Degree
Master's Degree
Field Of Study
Computer Science
Year of graduation
2017

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