We are seeking a motivated Junior Cloud Engineer to support the implementation, maintenance, and optimization of cloud infrastructure, systems, and services. This role is ideal for an early-career cloud professional looking to gain hands-on experience in cloud operations, DevOps practices, automation, and infrastructure management while collaborating with multiple teams across the organization.
Support the design, deployment, and maintenance of scalable and secure cloud infrastructure across major cloud platforms such as AWS or GCP
Assist in automation and DevOps initiatives by working with CI/CD pipelines, Infrastructure as Code, and containerization tools
Monitor cloud environments, troubleshoot issues, and help maintain system reliability, security, and performance
Collaborate with development, product, and security teams to support cloud-based solutions and operational improvement
What You'll Do
- Cloud Infrastructure & Operations:
Assist in deploying, configuring, and maintaining cloud infrastructure on AWS or GCP
Support Kubernetes cluster operations and containerized application deployments
Monitor cloud environments and help ensure system reliability, availability, and performance
Troubleshoot infrastructure and cloud-related issues with guidance from senior engineers
Contribute to maintaining cloud documentation, operational procedures, and best practices
Infrastructure as Code & Automation:Support Infrastructure as Code implementations using Terraform
Assist in maintaining and improving CI/CD pipelines for application deployment and automation
Work with Docker and Kubernetes to support containerized workloads
Contribute to automation initiatives for infrastructure provisioning and operational tasks
Follow DevOps and GitOps best practices under guidance from senior team members
Cloud Security & Governance:Help implement and maintain cloud security best practices, including IAM and access controls
Support monitoring, logging, backup, and disaster recovery processes
Assist with cloud resource optimization and cost management initiatives
Ensure compliance with internal operational and security standards
Collaboration & Team Support:- Collaborate with Engineering, Product, Operations, and Security teams on cloud-related initiatives
- Participate in team discussions, troubleshooting sessions, and knowledge-sharing activities
- Translate technical tasks and requirements into clear updates and documentation
Continuously learn new cloud technologies and industry best practices
Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent practical experience
2–3 years of experience in cloud engineering, DevOps, IT infrastructure, or related roles
Hands-on exposure to AWS or GCP cloud environments
Familiarity with Infrastructure as Code tools such as Terraform
Basic experience with Docker and Kubernetes environments
Knowledge of scripting or automation using Python or Bash
Understanding of cloud security fundamentals and networking concepts
Strong willingness to learn, troubleshoot, and grow within a cloud engineering role
Good communication and collaboration skills with both technical and non-technical stakeholders
Skills Required
- Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field, or equivalent practical experience
- 2-4 years of professional experience in data engineering or a closely related role
- Strong proficiency in Python and SQL; hands-on experience building and debugging data pipelines and automation scripts
- Experience with Apache Airflow for workflow orchestration
- Hands-on experience with Databricks and Apache Spark (PySpark) for large-scale data processing
- Familiarity with modern table formats such as Delta Lake or Iceberg
- Experience with cloud infrastructure (AWS and/or GCP)
- Experience with database migration workflows and version-controlled configuration management (Git)
- Strong debugging and problem-solving skills
- Ability to manage a queue of operational tickets and prioritize based on SLA urgency
- Strong communication skills; comfortable working asynchronously in a distributed, cross-timezone team
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.
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