This site uses cookies to offer you a better browsing experience.
Staff Cloud Infrastructure Engineer (Samsung Ads)
Location: 645 Clyde Avenue, Mountain View, CA, USA
Remote Type: Hybrid
Time Type: Full time
Posted On: Posted 4 Days Ago
Time Left to Apply: End Date: December 31, 2024 (30+ days left to apply)
Job Requisition ID: R96926
Position Summary
In recent years, Samsung has transformed its hardware dominance into a dynamic ecosystem of engaging services across devices. Enter Samsung Ads - a thriving business poised for even greater success. Our Global Ads Product & Engineering team, with a strong presence in five countries, is at the heart of this evolution. We're the innovators behind the products, tech, and tools driving ad-based monetization. Join us and be part of shaping the future of advertising technology on a global scale!
The Site Reliability Team at Samsung Ads operates a multi-million-dollar ad tech ecosystem composed of several critical revenue bearing systems. Are you a passionate Engineer looking to advance both professionally and technically? Our new Staff Cloud Infrastructure Engineer will lead the technical strategy and vision for our underpinning infrastructure, alerting & monitoring, provisioning, networking, and development tooling in collaboration with other engineering teams and leadership. If this sounds like the kind of challenge you are ready for, read on!
Role and Responsibilities
The Staff Cloud Infrastructure Engineer for our Site Reliability (SRE) Team will take ownership with an emphasis on DevOps Infrastructure for Samsung Ads. You’ll play a crucial role in ensuring the reliability, scalability, and performance of our advertising technology platform. You will collaborate with cross-functional teams to design, implement, and maintain robust and efficient infrastructure solutions.
Key Responsibilities:
- Design, implement, and manage scalable and resilient infrastructure solutions for our advertising technology platform.
- Collaborate with development teams to integrate DevOps best practices into the software development lifecycle.
- Implement and maintain CI/CD pipelines to automate software delivery and deployment processes.
- Monitor, troubleshoot, and optimize system performance to ensure high availability and reliability.
- Evaluating and estimating capacity and growth plan projections for future.
- Work closely with security teams to implement and enforce best practices for infrastructure security.
- Participate in on-call rotations to provide 24/7 support for critical systems.
- Continuously evaluate and implement new technologies to enhance the efficiency of our infrastructure.
- Being the Infrastructure and Operation subject matter expert for the development team.
- Plan for the future capacity and growth plans including disaster recovery and BCP.
Skills and Qualifications
Qualifications:
- Typically requires at least 8 years of related experience and a Bachelor's degree; or 6 years and a Master's degree; or a PhD with 3 years.
- Formal Degree (BS, MS, PhD) in Computer Science, Math, technical field, or equivalent experience
- Strong understanding of cloud technologies (e.g., AWS, Azure, GCP) and expertise managing cloud native applications on Kubernetes.
- Proven experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
- Expertise in automation and scripting (e.g., Terraform, Ansible, Python) and infrastructure as code (IaC) tools.
- Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack).
- Excellent communication and leadership skills.
- Knowledge of Ad Tech would be preferable.
If you are passionate about ensuring the reliability and scalability of cutting-edge advertising technology, we invite you to join our team at Samsung Ads. Apply now to be a part of a dynamic and innovative work environment and be a key driver of our technology transformation journey at Samsung. Join us in shaping the future of Ad Tech!
Compensation: Compensation for this role is expected to be between $190,000 and $210,000. Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role.
#LI-BL1
#J-18808-Ljbffr