As an Embedded Site Reliability Engineer specializing in DevOps Infrastructure at Samsung Ads, you will 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.
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.
- 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.
CALIFORNIA ONLY
Compensation for this role is expected to be between $180,000 and $200,000. Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role.