Posted:4 days ago|
Platform:
Remote
Full Time
● Develop and maintain automation scripts to streamline processes and improve
efficiency.
● Automate infrastructure provisioning, configuration management, and
deployments.
● Manage and optimize CI/CD pipelines to ensure smooth code integration and
deployments.
● Handle software deployments and releases across multiple environments.
● Design, develop, and maintain data pipelines to support business needs.
● Work with Apache Airflow and other orchestration tools for data pipeline
automation.
● Implement, maintain, monitor, and automate cloud infrastructure (AWS, GCP).
● Design and manage cloud networks while optimizing costs and performance.
● Ensure best practices in cloud resource utilization and security.
● Research and evaluate new DevOps tools to enhance system efficiency.
● Deploy and integrate tools like Splunk, Grafana, Zabbix, Prometheus, Jenkins,
Airflow, Terraform, Ansible, Kubernetes, Docker Swarm, and Autosys.
● Design and implement solutions for complex business problems.
● Implement and maintain monitoring solutions for infrastructure and
applications.
● Work closely with development, operations, and data teams to improve
workflow automation.
● Manage and respond to day-to-day requests.
● Strong scripting skills in Python, Bash .
● Experience with CI/CD tools (Jenkins, GitLab CI, etc.).
● Hands-on expertise in containerization and orchestration (Docker, Kubernetes, Docker
Swarm).
● Knowledge of configuration management tools (Ansible, Terraform, etc.).
● Experience with cloud platforms (AWS, GCP) and cloud networking.
● Proficiency in monitoring and logging tools (Splunk, Prometheus, Grafana, Zabbix).
● Experience handling data pipelines and workflow automation using Airflow, Jenkins.
● Strong understanding of software deployment, release management, and cloud cost
optimization.
● Ability to research, evaluate, and implement new DevOps tools.
Strong scripting skills in Python or Bash.
Experience with CI/CD tools (Jenkins, GitLab CI, etc.).
Hands-on expertise in containerization and orchestration (Docker, Kubernetes, Docker Swarm).
Mandatory tools (Ansible and Terraform).
Experience with cloud platforms (AWS or GCP) and cloud networking.
Proficiency in monitoring and logging tools (Splunk, Prometheus, Grafana, Zabbix)-Any two skills should be mandatory.
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