We are looking for a motivated individual who is passionate about building infrastructure and DevOps methodologies to empower the company to scale effectively.
You will join a small team and work in a high-velocity startup with a fun environment where products and ecosystems are still being defined and developed, giving you the chance to influence some of the core tools used and be a part of every stage of development from concept to deployment. You will need to be a self-starter, ready to dig in and own projects, collaborate cross-functionally, and deliver quality results.
What will your day to day look like:
Scaling our media processing and web services infrastructure to support extreme loads of data and traffic - We have 1000s pods and 100s nodes on EKS
Own deployment, monitoring, troubleshooting, maintenance, and uptime of all of our production AWS cloud environments.
Infrastructure for video processing, continuous ML training and real-time prediction.
Building, updating, and implementing CI/CD pipeline and DevOps automation processes, methodologies, and tools.
Work closely with Engineering and Data teams, taking full responsibility and ownership from conception to post-deployment in a collaborative, fast-paced environment
Stay on top of modern technologies with our infra stack: AWS, Kubernetes, Prometheus, Grafana, Redis, MySQL

Were looking for a highly motivated and experienced Head of DevOps to lead the evolution of our infrastructure and DevOps methodologies as we scale. If youre passionate about building robust, scalable systems and leading a high-performing team in a dynamic startup environment, wed love to talk to you!
In this role, you will be instrumental in driving our cloud infrastructure and deployment processes while helping define and develop the core tools that power our applications. You will have the opportunity to influence all stages of product development, from concept to deployment, while working in a fast-paced, high-energy environment.
As Head of DevOps, you will lead the DevOps function, ensuring the efficient scaling of our infrastructure, and managing cloud services to support extreme data and traffic loads. You will be responsible for the design, deployment, and optimization of cloud infrastructure, automation, monitoring, and troubleshooting. This is a key leadership role that will require you to collaborate with engineering, data, and product teams to ensure high availability, reliability, and performance at scale.
What will your day-to-day look like:
Lead the design, deployment, and scaling of media processing and web services infrastructure to support significant data loads and traffic (we have 1000s of pods and 100s of nodes on EKS).
Own the deployment, monitoring, troubleshooting, maintenance, and uptime of all production AWS cloud environments.
Design and optimize infrastructure for video processing, continuous ML training, and real-time prediction.
Drive the development and implementation of CI/CD pipelines and DevOps automation processes.
Collaborate closely with Engineering, Data, and Product teams, taking full ownership of systems from concept through post-deployment.
Stay up-to-date with the latest technologies in our infrastructure stack: AWS, Kubernetes, Prometheus, Grafana, Redis, MySQL.
Lead the implementation of best practices for infrastructure as code (IaC), automation, monitoring, and logging.

We are seeking a highly motivated and skilled Senior Data Engineer to join our expanding team. In this role, you will be a key player in building, maintaining, and improving the cost-effectiveness of our data pipeline. You will also be responsible for developing and maintaining our data team infrastructure and ensuring the efficiency of our ETL processes. Additionally, you will provide support to our team in complex analysis and data modeling tasks.

Responsibilities:
Design, build, and maintain Lumen's data pipeline infrastructure, ensuring scalability, reliability, and efficiency.
Develop and maintain the data team's infrastructure, including cloud-based solutions and on-premise systems.
Develop the foundation of Lumen's MLOps infrastructure to streamline the deployment and management of machine learning models.
Optimize ETL processes to handle large volumes of data and ensure data quality.