DevOps Engineer

Later is the world’s most intelligent influencer marketing company, built to give brands the confidence to create unforgettable campaigns. We’re looking for a DevOps Engineer to help support and grow Later’s cloud infrastructure, DevOps practices, and emerging MLOps capabilities. This role reports to the Infrastructure team and is primarily focused on DevOps, AWS, Kubernetes, CI/CD, Terraform, while also helping support the infrastructure needs of our Data teams. You’ll work closely with senior engineers, platform teams, data scientists, and product engineers to help build the systems that support application delivery, data workflows, model experimentation, and ML deployment.

Responsibilities

Support the development and execution of the infrastructure roadmap across DevOps and MLOps; Build and manage infrastructure to deploy ML models into production reliably using CI/CD pipelines, Flask-based APIs, and orchestration tools; Automate training pipelines, model registry, validation, deployment, and rollback strategies using Amazon SageMaker Interface and Postman; Build systems to monitor model performance, latency, data drift, and resource usage using Amazon CloudWatch, Prometheus, and Grafana; Design and maintain tools and systems for model versioning, experiment tracking, and reproducible training workflows; Operate across GCP and AWS to manage training/inference infrastructure, BigQuery datasets, and GPU workloads; Use Terraform or CloudFormation to manage cloud infrastructure; Partner with Product and Data teams to streamline CI/CD workflows, GitOps practices, and deployment processes

Requirements

2–5 years of hands-on DevOps or cloud engineering experience in production environments; Expertise with Kubernetes (EKS), Helm, and microservices; 1-2 years AWS and SageMaker Experience; 1-2 years creating data pipelines; 1-2 years with LLM deployments on Kubernetes; 1-2 years with kubernetes clusters using nodes that have GPU; Proven track record using Terraform for scalable, auditable Infrastructure as Code; A collaborative, solution-oriented mindset and a passion for automation and continuous improvement

Benefits

Eligible to participate in various benefits plans