Senior DevOps Data Engineer
3 days ago
Nationality: Any Nationality
Vacancy: 1 Vacancy
Job Description
The
Senior DevOps Data Engineer
is a core member of the DevOps platform or enablement team who builds, maintains and rolls out CI/CD pipelines as a service to the autonomous team to enable them to deliver software better and quicker for the Emirates group. The role involves the design, development, implementation, and maintenance of continuous deployment solutions and products, and coaching the software engineers on DevOps, automation, and cloud adoption.
In this role, you will:
Create and maintain fully automated CI/CD pipelines for code deployment, integration of test automation, code quality, telemetry, and orchestration for automated build and release of software.
Configure and tailor build pipelines to support continuous integration and delivery for products and technologies that will help optimize for performance, scalability, and supportability by working in the enablement team of Agile release trains.
Actively guide teams on container deployment & orchestration, manage, improve and monitor cloud infrastructure including cloud shared services/landing zones.
Build and deploy Docker containers to break up monolithic apps into microservices, improving developer workflow, increasing scalability, and optimizing speed.
Design effective monitoring, alerting, and log aggregation to identify and respond to issues proactively to improve the reliability of solutions, well-versed with key container orchestration technologies and containerization principles, and work guided by Senior technical engineer on infrastructure cloud migration, virtualization, performance analysis, log storage systems, and new functionality enablement in a multi-cloud environment.
Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors. Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
Work with senior technical engineers in the technical design process by contributing to the analysis of technical application requirements.
Troubleshoot issues, fix defects that are moderate to high complexity, and carry out testing independently.
Shadow Senior Technical Engineer/Principal Engineer to design and architect components and collaborate with members of the cross-functional team to identify areas of inefficiency and propose solutions.
Apply Site reliability principles to ensure availability, latency, performance, efficiency, change management, monitoring, emergency response, and capacity planning, and act as a bridge between development and operations by applying an engineering mindset to system administration.
To be considered for the role, you must meet the below requirements:
A degree in a relevant field (e.g., Computer Science, Computational Mathematics, Computer Engineering, or Software Engineering) is required. Master's Degree holders may be considered with fewer years of experience.
2+ Years of hands-on experience on DevOps implementation and/or Cloud Computing/Migration (AWS, Azure, GCP) and Systems Administration.
Proven expertise in troubleshooting, optimizing, and maintaining Kafka clusters in high-scale production environments.
Experience in architecture and support best practices in Hybrid cloud environment or Amazon AWS/Azure Cloud.
Knowledge in systems monitoring, alerting, and analytics (AppDynamics, Logstash, Splunk, etc.)
Hands-on knowledge of build automation and continuous integration/delivery ecosystem: Git, Groovy, Maven/Gradle, Docker, Nexus, Artifactory, Selenium, Jenkins, Docker, Openshift.
Experience with infrastructure configuration and automation processes and tools: Terraform, Puppet, Ansible.
Experience in deploying and troubleshooting highly available, secure, and reliable services with automatic failover using containers and container-orchestration tools like Kubernetes/Openshift.
Experience with issues facing large scale server environments.
Experience with Linux management tools such as automated provisioning (ansible, puppet, razor), containers (docker), virtualization (VMware, KVM).
Experience in Scripting (shell, python, Go)
Skills for monitoring and automation.
Experience working with automation and CI/CD implementation for microservices architecture.
Hands-on experience on designing and building solutions that allow multi-cloud environments.
Knowledge/skills:
Clouds, Infrastructure Managers and Container Engines:
Kafka, Kubernetes, Helm, Docker, Azure, AWS, GCP, VMWare, OpenStack, OpenShift
CI/CD:
Azure DevOps, Jenkins, GIT, Jmeter, Gatling, Docker, OpenShift, Kubernetes, Jira-Agile, Confluence, AWS DevOps, Maven, Gradle, Selenium.
Scripting:
Shell (Bash/PowerShell), Go (Golang), Python, Ruby, JSON, YAML
Operating System:
Linux (RedHat, CentOS) and Windows.
Monitoring and logging:
Grafana, ELK, AppDynamics, Dynatrace, Splunk, Zabbix, Prometheus, Fluentd
Provisioning/Config Management and Automation tools:
Terraform, AWS CloudFormation, Azure ARM, Packer, Ansible, Puppet
Recommended: (Will be valued, if available)
Professional Certification on DevOps, DevOps related Tools, Systems Administration, Networking, Cloud, Agile, SAFe, etc.
Company Industry:
Airlines
Aviation
Department / Functional Area:
Keywords
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