DevOps Engineer

Position

As a DevOps engineer, you'll be responsible to overseeing and optimizing CI/CD pipelines, enhancing automation, deployment, and monitoring across environments.

Key responsibilities

• Application deployment and environment preparation for all our environments [INT, SIT, UAT and production]
• Develop and optimize complex continuous integration and continuous deployment pipelines to ensure rapid and reliable software delivery
• Architect and design scalable, secure and robust infrastructure solutions to accommodate Finance IT (FIT) digital platform needs.
• Most of code is on SQL Store procedure for the application configuration. So SQL intermediate knowledge required.
• Strong knowledge of Apache Spark and able to configure the Spark standalone cluster. Able to analyze the performance bottleneck and resource usage and able to communicate to the team.
• Integrate security practices into the software development life cycle
• Implement and optimize monitoring tools to proactively detect and resolve performance issues, ensuring high availability and consistent system performance.
• Continuous research and implement new technologies and methodologies to drive improvements in infrastructure deployment, scalability and the software development process
• Integrate SonarQube, code quality, and security scanning tools into pipelines
• Apply Agile and Scrum methodologies to drive project success.
• Collaborate with development teams to streamline build and release processes
• Manage source code repositories using Azure Repos / Git Lab

Qualifications and Profile

• Experience in scripting languages such as Powershell, Python, Bash or Perl.

• Extensive experience with CI/CD tools like Jenkins, Azure TFS, GitLab CI or Circle CI

• Strong background in Linux/Unix Administration

• Expertise in using containerization & orchestration tools such as Docker, Kubernetes or OpenShift.

• Experience with infrastructure as code tools such as Terraform, Ansible or Puppet.

• Strong understanding of cloud services (AWS,GCP, Azure) and managing hybrid cloud environments

• Basic understanding of distributed platform & micro services architecture

• Familiarity with network architecture and security protocols (SSL/TSL, Firewall, VPNs).

• Basic understanding of Bigdata Ecosystem components Kafka, Spark and Spark Streaming,& Elastic search.

If interested, you can click on “Apply here” or write an e-mail to [email protected] with your updated resume.

NOTE: - Only shortlisted candidates will be contacted back.

Thanks & Regards

Deeksha Agarwal

EA Licence No.91C2918

Personnel Registration No. R26161520