Senior DevOps Data Engineer

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 works guided by a 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 in 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:

• Degree or Honours (12+3 or equivalent) in relevant fields such as Computer Science, Computational Mathematics, Computer Engineering, or Software Engineering. Fewer years of experience will be considered for master's Degree holders

• 2+ Years of hands-on experience in DevOps implementation and Cloud Computing/Migration (AWS, Azure, VMware, GCP) and Systems Administration.

• Experience in architecture and support best practices in a 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, automation processes, and tools: Terraform, Puppet, Ansible.

• Experience 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), and 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 in designing and building solutions that allow multi-cloud environments.

• Must have broad expertise or unique knowledge in one or more of these areas, based on the area of hiring:

• Clouds, Infrastructure Managers and Container Engines: Kubernetes, Docker, AWS, VMWare, OpenStack, OpenShift, Helm, Azure, GCP

• CI/CD: Jenkins, GIT, Jmeter, Gatling, Docker, Openshift, Kubernetes, Jenkins, Jira-Agile, Confluence, VRA-CodeStream, Azure DevOps, AWS Devops, maven, gradle, Zalenium grid

• Scripting: Go (Golang), Shell (Bash/KSH), 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 in DevOps, DevOps related Tools, Systems Administration, Networking, Cloud, Agile, SAFe, etc