Sr. Systems Engineer, Cloud Infrastructure - job 18 of 20

As a Sr. Systems Engineer in Cloud Infrastructure at Visa, you will be responsible for engineering and building reliable and secure infrastructure tailored for various workloads in Private and Hybrid Cloud environments. This includes collaborating with Cloud Architects on secure designs, promoting DevOps principles through Infrastructure as Code, and ensuring the availability and security of applications hosted in the cloud.

Candidates for the Sr. Systems Engineer role at Visa should have a strong understanding of public cloud platforms, such as AWS, GCP, and Azure, along with experience in deploying cloud infrastructure solutions. Familiarity with Infrastructure as Code and automation practices at scale is essential, along with strong collaboration skills to work with cross-functional teams and stakeholders.

In the role of Sr. Systems Engineer for Cloud Infrastructure at Visa, you will play a pivotal role in integrating security measures within the cloud environment. This includes establishing robust security practices during cloud provisioning, implementing monitoring solutions, and collaborating with stakeholders to ensure compliance with new security requirements across various applications.

A successful Sr. Systems Engineer at Visa should be versed in technologies surrounding cloud infrastructure, notably Infrastructure as Code tools such as Terraform, CloudFormation, and Pulumi. Familiarity with CI/CD pipelines, container orchestration platforms like Kubernetes, and monitoring tools is also beneficial to effectively manage cloud deployments.

A typical day as a Sr. Systems Engineer in Cloud Infrastructure at Visa may involve collaborating with Cloud Architects to design scalable infrastructure, developing new automated solutions to streamline deployments, and meeting with stakeholders to discuss project progress. Additionally, you will engage in continual improvement practices to ensure the cloud ecosystem meets Visa’s operational efficiency.

To ensure high availability in cloud applications, I focus on designing infrastructure that utilizes load balancing, autoscaling, and redundancy. I also implement disaster recovery solutions and run regular tests to validate that all components remain functional during failures.

Infrastructure as Code is crucial because it allows for the automation of infrastructure provisioning and management. It ensures consistency across environments, reduces manual errors, and allows for rapid scaling and deployment, which aligns perfectly with DevOps practices.

When designing cloud infrastructure, I prioritize setting up role-based access control, utilizing security groups, and encrypting sensitive data. I also focus on continuous monitoring and utilizing logging tools to detect and respond to potential security threats quickly.

I have extensive experience setting up CI/CD pipelines using tools like Jenkins and GitLab CI. My focus is on automation to facilitate fast, reliable, and repeatable deployments while ensuring security practices are integrated into each stage of the pipeline.

Managing costs in cloud environments involves monitoring usage, optimizing resource allocation based on demand, and leveraging cost analysis tools provided by cloud providers to track and predict expenses. Implementing resource tagging and rightsizing instances are also effective strategies.

My approach to disaster recovery emphasizes planning and designing for redundancy. I implement backup strategies, regularly test disaster recovery plans, and ensure that failover systems are in place to minimize downtime and data loss.

I stay updated with the latest cloud technologies by following industry news, participating in webinars, and engaging with cloud communities. Additionally, I invest time in continuous learning through courses and certifications relevant to cloud engineering.

Kubernetes plays a vital role in cloud orchestration by automating deployment, scaling, and management of containerized applications. Its capabilities allow for efficient resource utilization, easy application updates, and integrated health monitoring for optimal performance.

Challenges in cloud technologies often include managing resource costs and ensuring security compliance. I address these by implementing robust governance frameworks, performing regular audits, and keeping open communication with stakeholders about best practices to follow.

One example of improving infrastructure efficiency was when I implemented automation scripts to provision resources based on workload demand, which significantly reduced resource waste and minimized manual configuration errors, resulting in both cost savings and increased operational efficiency.