June 10, 2020
Knowledge in implementing DevOps and having inclination towards automation.
Must have sound knowledge of SDLC and be able to work in Agile methodologies.
Expertise in building and maintaining Kubernetes infrastructure in production, preferably on-prem.
A working knowledge of the concepts for DevSecOps, ITIL foundations for change management and compliance
Experience in version Control Systems: TFS, GIT.
Hands-on knowledge of implementing multi-staged CI/CD pipelines with tools: Azure DevOps, Jenkins.
Experience in CI/CD integration within Java /.Net ecosystem with build tools: Maven, Gradle, MsBuild.
Sound knowledge in infrastructure-as-a-code approaches with: Puppet, Chef, Ansible or Terraform.
Should be Proficient in scripting languages: Shell, Python, Power Shell.
Must have strong experience in Orchestration tools: Dockers, Kubernetes, open shift.
Strong knowledge in Micro Services, Container based architecture and the corresponding deployment tools and techniques.
Ability to manage and maintain Cloud Infrastructure on Azure, AWS or any cloud services (IaaS, PaaS)
Hands on experience in security related to cloud-based infrastructure.
Strong experience in designing and deployment of large & high availability & scalable solutions on private cloud like Azure or AWS: VPC, EC2, ECS, RDS, NLB, EFS, CloudFormation, CloudWatch, SQS, Redshift, KMS, VPC.
Strong networking skills, TCP/IP, HTTP(S) protocol, SOAP & REST API.
Strong Linux / BASH scripting / administration skills.
Handle secrets/passwords to build an application and Handle security measures while deploying applications to Cloud.
Role - Software Developer
Industry Type - IT-Software, Software Services
Functional Area - IT Software - Application Programming, Maintenance
Employment Type - Full Time, Permanent
Role Category - Programming & Design
Education
UG :Any Graduate in Any Specialization, Graduation Not Required
PG :Any Postgraduate in Any Specialization, Post Graduation Not Required
Doctorate :Doctorate Not Required, Any Doctorate in Any Specialization
Offered Pay Amount
Pay Amount : Rs. 10,00,000 - 16,00,000 p.a.Industry
ARTIFICIAL INTELLEGENCE AI/MLnumber of openings :
9Qualification :
gradle, puppet, Java, AWS, git, linux, jenkins, terraform, ansibleJob Location