Devops Infrastructure Engineer jobs at Cisco in Serbia, Belgrade

As a DevOps Infrastructure Engineer, you will play a critical role in accelerating development velocity by building and maintaining a robust, scalable, and highly stable infrastructure. Your expertise in CI/CD automation, IaC (Infrastructure as Code), and system optimization will directly impact the efficiency and speed of our development workflows. By ensuring seamless software delivery and reliable infrastructure, you will empower teams to innovate and deploy faster while maintaining operational excellence.

• Develop and maintain a scalable CI/CD environment, reducing friction in the development cycle and accelerating release velocity.
• Implement containerization and orchestration solutions to improve deployment efficiency and system resilience.
• Ensure rapid scalability and stability of services supporting the development process.
• Proactively monitor and optimize CI/CD pipelines to minimize downtime and maximize developer productivity.
• Investigate and resolve system inefficiencies, ensuring a smooth and uninterrupted development experience.
• Work closely with IT, software teams, and lab engineers to continuously refine automation workflows.
• Implement security best practices across lab operations, boot mechanisms, and network infrastructure to maintain system integrity.
• Troubleshoot hardware/software failures, ensuring the infrastructure remains fully operational and resilient.
• Maintain documentation for all processes, configurations, and procedures to ensure knowledge-sharing and continuous improvements.

• Bachelor’s degree in Computer Science, Engineering, or a related field with 3+ years of hands-on experience.
• Expertise in designing high-availability, fault-tolerant, and redundant on-premise systems architecture.
• Strong experience with IaC tools (Terraform, Ansible, Puppet) and CI/CD practices using Jenkins, GitHub Actions.
• Skills in Git (GitHub, GitLab, Bitbucket) and scripting languages like Python and Bash.
• Knowledge of Linux OS fundamentals, filesystem structure, networking, storage management, and virtualization (VMware, Nutanix).
• Experience with large-scale system deployments and troubleshooting infrastructure challenges.

• Expertise in on-premise infrastructure and cloud-based automation, with knowledge of containerization technologies (Docker, Podman, Kubernetes).
• Understanding of security best practices, including secure secrets management (e.g., HashiCorp Vault).
• Experience with monitoring tools (Zabbix, Prometheus, Grafana) for system insights and reliability.
• Hands-on experience in designing, deploying, and managing resilient MongoDB architectures in production environments.
• Knowledge of Python-based web applications (e.g., Django) .
• Strong problem-solving abilities with a focus on troubleshooting, optimization, and improving data retention strategies.

Cisco Silicon One Labs are growing rapidly, requiring an experienced System Engineer to manage lab operations, hardware infrastructure, and automation. You will oversee large-scale evaluation boards, switches, servers, and storage systems, working across multiple Linux-based operating systems, BSPs (Board Support Packages), and boot mechanisms. Your role involves consolidating lab environments, improving automation, ensuring system stability, and driving technological innovation.

• Oversee administration of large-scale lab environments, ensuring efficiency, reliability, and operational continuity.
• Consolidate operating systems, BSPs, boot mechanisms, and implement automation to streamline workflows.
• Manage PXE servers and boot mechanisms, optimizing performance and robustness across lab hardware.
• Collaborate with internal/external vendors and developers to move lab equipment to modern operating systems.
• Implement containerization on evaluation boards to enhance testing and deployment techniques.
• Optimize lab storage solutions for long-term sustainability, scalability, and performance.
• Implement security best practices across lab operations, boot mechanisms, network infrastructure, and configurations.
• Troubleshoot hardware/software failures, maintain documentation, and ensure lab infrastructure is fully operational.

• BSc/BA in Computer Science or related fields
• Strong Linux OS fundamentals and filesystem structure knowledge.
• Hands-on expertise in networking and storage management.
• Scripting proficiency in Bash, Python, or similar languages for automation.
• Experience working with virtualization platforms (VMware, Nutanix).
• Ability to work across multiple hardware configurations, including evaluation boards, traffic generators, and lab setups.
• Proactive problem-solving mindset with excellent troubleshooting abilities.

• Experience designing and implementing on-premise infrastructure, with a strong focus on automation, scalability, and using tools like Puppet, Chef, and Ansible.
• Proficiency in monitoring tools (Zabbix, Prometheus, Grafana) to ensure system reliability and optimize performance.
• Knowledge of containerization platforms (Docker, Podman, Kubernetes) for efficient deployment and management.
• Expertise in CI/CD practices and implementing infrastructure using IaC (Infrastructure as Code) principles.
• Strong debugging and optimization skills for hardware/software interactions, improving overall system efficiency.
• Experience managing large-scale storage environments, developing data retention strategies, and troubleshooting IT issues in cross-functional teams.

• You will play a critical role in overseeing the software release lifecycle, ensuring that software products are delivered efficiently, on time, and within scope
• This position requires a blend of software development expertise and program management skills to coordinate cross-functional teams and manage the complexities of software releases
• You’ll be the primary contact point between technical teams and stakeholders, providing regular updates on release status, issues, and resolutions.
• As a part of your job, you’ll also work on continuous Improvement: analyzing release processes and performance metrics to identify areas for improvement, and designing and implementing automation processes to enhance efficiency and effectiveness.

• BSc/BA in Computer Science or related fields
• Previous experience with software development or QA automation
• Coding skills
• Experience in Jira or other bug-tracking tools

• Experience in release management
• Experience in project management
• Knowledge in Networking
• Experience in System Integration
  
• Experience working within cross-functional team
• Good data analytics skills

As a DevOps Infrastructure Engineer, you will play a critical role in accelerating development velocity by building and maintaining a robust, scalable, and highly stable infrastructure. Your expertise in CI/CD automation, IaC (Infrastructure as Code), and system optimization will directly impact the efficiency and speed of our development workflows. By ensuring seamless software delivery and reliable infrastructure, you will empower teams to innovate and deploy faster while maintaining operational excellence.

• Develop and maintain a scalable CI/CD environment, reducing friction in the development cycle and accelerating release velocity.
• Implement containerization and orchestration solutions to improve deployment efficiency and system resilience.
• Ensure rapid scalability and stability of services supporting the development process.
• Proactively monitor and optimize CI/CD pipelines to minimize downtime and maximize developer productivity.
• Investigate and resolve system inefficiencies, ensuring a smooth and uninterrupted development experience.
• Work closely with IT, software teams, and lab engineers to continuously refine automation workflows.
• Implement security best practices across lab operations, boot mechanisms, and network infrastructure to maintain system integrity.
• Troubleshoot hardware/software failures, ensuring the infrastructure remains fully operational and resilient.
• Maintain documentation for all processes, configurations, and procedures to ensure knowledge-sharing and continuous improvements.

• Bachelor’s degree in Computer Science, Engineering, or a related field with 3+ years of hands-on experience.
• Expertise in designing high-availability, fault-tolerant, and redundant on-premise systems architecture.
• Strong experience with IaC tools (Terraform, Ansible, Puppet) and CI/CD practices using Jenkins, GitHub Actions.
• Skills in Git (GitHub, GitLab, Bitbucket) and scripting languages like Python and Bash.
• Knowledge of Linux OS fundamentals, filesystem structure, networking, storage management, and virtualization (VMware, Nutanix).
• Experience with large-scale system deployments and troubleshooting infrastructure challenges.

• Expertise in on-premise infrastructure and cloud-based automation, with knowledge of containerization technologies (Docker, Podman, Kubernetes).
• Understanding of security best practices, including secure secrets management (e.g., HashiCorp Vault).
• Experience with monitoring tools (Zabbix, Prometheus, Grafana) for system insights and reliability.
• Hands-on experience in designing, deploying, and managing resilient MongoDB architectures in production environments.
• Knowledge of Python-based web applications (e.g., Django) .
• Strong problem-solving abilities with a focus on troubleshooting, optimization, and improving data retention strategies.

As a DevOps Infrastructure Engineer, you will play a critical role in accelerating development velocity by building and maintaining a robust, scalable, and highly stable infrastructure. Your expertise in CI/CD automation, IaC (Infrastructure as Code), and system optimization will directly impact the efficiency and speed of our development workflows. By ensuring seamless software delivery and reliable infrastructure, you will empower teams to innovate and deploy faster while maintaining operational excellence.

• Develop and maintain a scalable CI/CD environment, reducing friction in the development cycle and accelerating release velocity.
• Implement containerization and orchestration solutions to improve deployment efficiency and system resilience.
• Ensure rapid scalability and stability of services supporting the development process.
• Proactively monitor and optimize CI/CD pipelines to minimize downtime and maximize developer productivity.
• Investigate and resolve system inefficiencies, ensuring a smooth and uninterrupted development experience.
• Work closely with IT, software teams, and lab engineers to continuously refine automation workflows.
• Implement security best practices across lab operations, boot mechanisms, and network infrastructure to maintain system integrity.
• Troubleshoot hardware/software failures, ensuring the infrastructure remains fully operational and resilient.
• Maintain documentation for all processes, configurations, and procedures to ensure knowledge-sharing and continuous improvements.

• Bachelor’s degree in Computer Science, Engineering, or a related field with 3+ years of hands-on experience.
• Expertise in designing high-availability, fault-tolerant, and redundant on-premise systems architecture.
• Strong experience with IaC tools (Terraform, Ansible, Puppet) and CI/CD practices using Jenkins, GitHub Actions.
• Skills in Git (GitHub, GitLab, Bitbucket) and scripting languages like Python and Bash.
• Knowledge of Linux OS fundamentals, filesystem structure, networking, storage management, and virtualization (VMware, Nutanix).
• Experience with large-scale system deployments and troubleshooting infrastructure challenges.

• Expertise in on-premise infrastructure and cloud-based automation, with knowledge of containerization technologies (Docker, Podman, Kubernetes).
• Understanding of security best practices, including secure secrets management (e.g., HashiCorp Vault).
• Experience with monitoring tools (Zabbix, Prometheus, Grafana) for system insights and reliability.
• Hands-on experience in designing, deploying, and managing resilient MongoDB architectures in production environments.
• Knowledge of Python-based web applications (e.g., Django) .
• Strong problem-solving abilities with a focus on troubleshooting, optimization, and improving data retention strategies.