WHAT WILL YOU DO
- Lead the architecture, design, and implementation of scalable, secure, and highly available cloud platforms (e.g., AWS, GCP).
- Architect, deploy, and manage production-grade Kubernetes clusters supporting mission-critical, containerized applications.
- Define and enforce cloud standards, patterns, and best practices across the organization.
- Maintain, monitor, and optimize cloud environments, including compute, storage, networking, and security services.
- Troubleshoot complex cloud-related issues and provide timely resolutions to ensure high system availability and performance.
- Infrastructure as Code & Automation:
- Design and maintain robust Infrastructure as Code (IaC) frameworks using tools such as Terraform, ensuring repeatability and compliance.
- Establishand evolve CI/CD pipelines to support secure, reliable, and scalable application delivery.
- Drive automation-first approaches to infrastructure provisioning, configuration management, and operational workflows.
- Implement and manage containerization technologies such as Docker and orchestration platforms, with a strong emphasis on Kubernetes.
- Champion DevOps and GitOps practices across teams to improve deployment velocity and system reliability.
- Cloud Operations, Security & Governance:
- Provide technical leadership for cloud operations, including monitoring, logging, alerting, backup, and disaster recovery strategies.
- Design and enforce cloud security best practices, including identity and access management (IAM), network segmentation, encryption, and compliance controls.
- Own cloud cost management strategies, including cost optimization, budgeting, forecasting, and resource governance.
- Collaboration & Cross-Functional Support:
- Serve as a subject matter expert for cloud technologies, providing guidance and support across Engineering, Product, Operations, and Security teams.
- Collaboratewith other departments such as Development, Product, and Security to translate business requirements into scalable and resilient cloud solutions.
- Lead documentation efforts for cloud architectures, operational runbooks, and best practices.
WHO YOU ARE
- Bachelor's degree in Computer Science, a related field, or equivalent practical experience.
- 6+ years of experience in cloud engineering, DevOps, or cloud infrastructure roles, with demonstrated senior-level responsibility.
- Deep hands-on experience with at least one major cloud platform (AWS or GCP), including production-scale environments.
- Expert-level experience with Infrastructure as Code (e.g., Terraform) and infrastructure automation.
- Extensive experience with containerization technologies such as Docker and Kubernetes ecosystems, including designing, deploying, managing, and troubleshooting clusters at scale.
- Proficiency in scripting and automation (e.g., Python, Bash).Strong understanding of cloud security principles, including IAM, network security, encryption and compliance.
- Strong problem-solving skills with the ability to work independently and manage multiple projects simultaneously.
- Excellent communication skills, with the ability to explain complex technical concepts to technical and non-technical stakeholders.
Top Skills
What We Do
Television remains a vibrant cultural influence and an essential source of entertainment and information worldwide. Tremendous growth in content choices, and viewing platforms that allow us to watch anything, anytime, on any screen, has actually made it harder for viewers to discover and keep up with all the great programming available. It’s also more competitive for content providers to keep your attention, and for marketers to make strong, measurable connections with their target consumers.
Technology that improves the viewing experience, enables content discovery, and addresses audience fragmentation across screens will strengthen television’s business model and relevance to consumers. Data is at the center of any solution to make TV better.
Samba TV's technology is built into Smart TVs and easily maps to smart phones and tablets. By recognizing what's on screen, Samba TV learns what viewers like and using machine learning algorithms, enables discovery of shows and actors in a whole new way. Likewise, our data and measurement products are transforming the way stakeholders across the media landscape are thinking about their business. Given the dramatic growth in streaming services, connected devices, time-shifting, and multi-screen viewership, our data products solve real problems and create a meaningful competitive advantage for our clients.
