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Role & Responsiblities

• DevOps Engineer will be working with implementation and management of DevOps tools and technologies.
• Create and support advanced pipelines using Gitlab.
• Create and support advanced container and serverless environments.
• Deploy Cloud infrastructure using Terraform and cloud formation templates.
• Implement deployments to OpenShift Container Platform, Amazon ECS and EKS
• Troubleshoot containerized builds and deployments
• Implement processes and automations for migrating between OpenShift, AKS and EKS
• Implement CI/CD automations.
• 
  

Required Skillsets

• 3-5 years of cloud-based architecture software engineering experience.
• Deep understanding of Kubernetes and its architecture.
• Mastery of cloud security engineering tools, techniques, and procedures.
• Experience with AWS services such as Amazon S3, EKS, ECS, DynamoDB, AWS Lambda, API Gateway, etc.
• Experience with designing and supporting infrastructure via Infrastructure-as-Code in AWS, via CDK, CloudFormation Templates, Terraform or other toolset.
• Experienced with tools like Jenkins, Github, Puppet or other similar toolset.
• Experienced with monitoring functions like cloudwatch, newrelic, graphana, splunk, etc,
• Excellence in verbal and written communication, and in working collaboratively with a variety of colleagues and clients in a remote development environment.
• Proven track record in cloud computing systems and enterprise architecture and security

Roles and Responsibilities: 

▪ Data Pipeline Development: Build, deploy, and maintain efficient ETL/ELT pipelines using Azure 

Data Factory, Data Factory & Azure Synapse Analytics. 

▪ We are only looking for senior candidates with over 5 yrs of relevant exp with ample client 

facing exp.

· Finance/Insurance experience is also a must. 

▪ Data Modelling & Warehousing: Design and optimize data models, warehouses, and lakes for 

structured/unstructured data. 

▪ SQL & Query Optimization: Write complex SQL queries, optimize performance, and manage 

databases. · Python Automation: Develop scripts for data processing, automation, and 

integration using Python (Pandas, NumPy). 

Technical Skills: 

▪ Cloud Technologies: Azure Synapse Analytics, Azure Fabric, Azure Databricks and AWS(good to 

have) 

▪ Knowledge of Python, Pyspark, SQL, ETL concepts 

▪ Good understanding of Insurance Operations and KPI reporting is an advantage. 

• Hands-on knowledge on various CI-CD tools (Jenkins/TeamCity, Artifactory, UCD, Bitbucket/Github, SonarQube) including setting up of build-deployment automated pipelines.
• Very good knowledge in scripting tools and languages such as Shell, Perl or Python , YAML/Groovy, build tools such as Maven/Gradle.
• Hands-on knowledge in containerization and orchestration tools such as Docker, OpenShift and Kubernetes.
• Good knowledge in configuration management tools such as Ansible, Puppet/Chef and have worked on setting up of monitoring tools (Splunk/Geneos/New Relic/Elk).
•             Expertise in job schedulers/workload automation tools such as Control-M or AutoSys is good to have.
• Hands-on knowledge on Cloud technology (preferably GCP) including various computing services and infrastructure setup using Terraform.

• Should have basic understanding on networking, certificate management, Identity and Access Management and Information security/encryption concepts.
• •             Should support day-to-day tasks related to platform and environments upkeep such as upgrades, patching, migration and system/interfaces integration.
• •             Should have experience in working in Agile based SDLC delivery model, multi-task and support multiple systems/apps.
• •             Big-data and Hadoop ecosystem knowledge is good to have but not mandatory.

• Should have worked on standard release, change and incident management tools such as ServiceNow/Remedy or similar

Intuitive is the fastest growing top-tier Cloud Solutions and Services company supporting Global Enterprise Customer across Americas, Europe and Middle East.

Intuitive is looking for highly talented hands-on Cloud Infrastructure Architects to help accelerate our growing Professional Services consulting Cloud & DevOps practice. This is an excellent opportunity to join Intuitive’s global world class technology teams, working with some of the best and brightest engineers while also developing your skills and furthering your career working with some of the largest customers.

Job Description :

• Extensive exp. with K8s (EKS/GKE) and k8s eco-system tooling e,g., Prometheus, ArgoCD, Grafana, Istio etc.
• Extensive AWS/GCP Core Infrastructure skills
• Infrastructure/ IAC Automation, Integration - Terraform
• Kubernetes resources engineering and management
• Experience with DevOps tools, CICD pipelines and release management
• Good at creating documentation(runbooks, design documents, implementation plans )

Linux Experience :

1. Namespace
2. Virtualization
3. Containers

Networking Experience

1. Virtual networking
2. Overlay networks
3. Vxlans, GRE

Kubernetes Experience :

Should have experience in bringing up the Kubernetes cluster manually without using kubeadm tool.

Observability                              

Experience in observability is a plus

Cloud automation :

Familiarity with cloud platforms exclusively AWS, DevOps tools like Jenkins, terraform etc.

Profile: DevOps Engineer
Experience: 5-8 Yrs
Notice Period: Immediate to 30 Days

Job Descrtiption:

Technical Experience (Must Have):
Cloud: Azure
DevOps Tool: Terraform, Ansible, Github, CI-CD pipeline, Docker, Kubernetes
Network: Cloud Networking
Scripting Language: Any/All - Shell Script, PowerShell, Python
OS: Linux (Ubuntu, RHEL etc)
Database: MongoDB

Professional Attributes: Excellent communication, written, presentation,
and problem-solving skills.

Experience: Minimum of 5-8 years of experience in Cloud Automation and
Application

Additional Information (Good to have):
Microsoft Azure Fundamentals AZ-900
Terraform Associate
Docker
Certified Kubernetes Administrator

Role:
Building and maintaining tools to automate application and
infrastructure deployment, and to monitor operations.
Design and implement cloud solutions which are secure, scalable,
resilient, monitored, auditable and cost optimized.
Implementing transformation from an as is state, to the future.
Coordinating with other members of the DevOps team, Development, Test,
and other teams to enhance and optimize existing processes.
Provide systems support,  implement monitoring and logging alerting
solutions that enable the production systems to be monitored.
Writing Infrastructure as Code (IaC) using Industry standard tools and
services.
Writing application deployment automation using industry standard
deployment and configuration tools.
Design and implement continuous delivery pipelines that serve the
purpose of provisioning and operating client test as well as production
environments.
Implement and stay abreast of Cloud and DevOps industry best practices
and tooling.

Below is the Job Description for the position of DevOps Azure Engineer in Xceedance co.

Qualifications BE/ B.Tech/ MCA in computer science

Key Requirement for the Position Develop Azure application design and connectivity patterns, Azure networking topologies, and Azure storage facilities.
• Run code conformance tools as part of releases.
• Design Azure app service web app by using Azure CLI, PowerShell, and other tools.
• Implement containerized solution using Docker and Azure Kubernetes Service
• Automating the build and deployment process through Azure DevOps approach and tools from development to production
• Design and implement CI/CD pipelines
• Script and update build and deployments.
• Coordinate environment usage and alignment.
• Develop, maintain, and optimize automated deployments code for development, test, staging and production environments.
• Configure the application and container platform with proactive monitoring tools and trigger alerts through communication channels
• Develop infrastructure and platform code
• Effectively contribute to building the overall knowledge and expertise of the technical team
• Provide Level 2/3 technical support
Location Noida or Gurgaon

• Health Memberships 
• Sports Subscriptions 
• Entertainment Subscriptions 
• Key Conferences and Event Passes
• Learning Stipend 
• Team Lunches and Parties 
• Travel Reimbursements 
• ESOPs