Sr. Systems Engineer, Virtualization/Linux Engineering - job 13 of 17

The Sr. Systems Engineer at Visa takes on vital responsibilities including maintaining the security and availability of systems infrastructure, responding to incident and problem tickets, and collaborating with engineering and delivery teams. You'll also implement automation solutions and ensure adherence to established ITIL practices, all while managing a heterogeneous infrastructure primarily focused on Linux.

To succeed as a Sr. Systems Engineer at Visa, you'll need a strong background in infrastructure management, particularly with Linux and virtualization technologies like VMWare. Experience with automation tools such as Ansible and Chef, as well as monitoring tools like Splunk and Grafana, is crucial. Strong analytical abilities and communication skills will also set you apart in this role.

Yes, the Sr. Systems Engineer position at Visa requires weekend shift work. Your specific schedule will either be a 4x10 or a 5x8 arrangement, determined based on the business needs. It's essential to be flexible in this role to meet operational demands.

A Sr. Systems Engineer at Visa should be well-versed in a variety of tools, including automation tools like Ansible and Chef, monitoring tools such as Splunk and Grafana, and virtualization technologies like VMWare ESX. Familiarity with Docker, Kubernetes, and Linux operating systems is also essential, as these tools are critical for managing and optimizing our infrastructure.

The work environment for a Sr. Systems Engineer at Visa is dynamic and collaborative. You'll be part of a hybrid team where you can alternate between remote work and on-site collaboration. Employees in this role are generally expected to be in the office 2-3 days a week, fostering teamwork and ensuring that you stay engaged with your colleagues.

In my previous experience, I implemented proactive monitoring strategies and regular auditing processes. This includes using tools like Splunk for log analysis and ensuring that I adhere to ITIL practices for incident management, which helps in resolving issues swiftly and minimizing downtime.

I've extensively used Ansible for automating server configurations and application deployments, which significantly improves efficiency. I leverage its playbooks to ensure consistent environments, and I'm always exploring ways to enhance automation in processes to reduce manual workload.

For root cause analysis, I utilize a systematic method that includes log analysis, reviewing system metrics, and engaging with relevant team members to capture various perspectives. This holistic approach provides a clearer picture of the issue and helps develop effective solutions.

I prioritize effective communication and documentation to manage on-call duties. During high-pressure situations, I remain calm, follow established protocols, and use monitoring tools to quickly identify and resolve issues, ensuring that I keep all relevant stakeholders updated throughout.

I have hands-on experience with VMWare ESX and its management through vSphere. I have utilized these platforms for resource allocation, disaster recovery planning, and optimizing performance across virtualized environments, which have collectively maximized uptime and resource efficiency.

Automation is a cornerstone of modern systems engineering. It reduces human error, increases reliability, and significantly speeds up processes such as deployments and monitoring, allowing teams to focus on strategic improvements rather than mundane tasks.

I regularly participate in webinars, follow industry leaders on platforms like LinkedIn, and engage in relevant forums. I also invest time in personal projects that allow me to experiment with new technologies to stay ahead in the field.

I embrace the hybrid structure by ensuring clear communication and collaboration tools are in place. Regular team meetings help maintain alignment, and I encourage casual check-ins to support team cohesion, whether we are working remotely or in the office.

I rely on a well-defined incident response plan that prioritizes incidents based on impact and urgency. Additionally, I use monitoring tools to detect anomalies early and facilitate swift responses. Log documentation is key for future incident analysis and prevention.

I'm proficient in Docker and Kubernetes for container orchestration, which allows applications to run in isolated environments swiftly. This technology has improved deployments’ consistency and scalability in previous projects, making it an integral part of my systems engineering toolkit.