Описание
Headquarters: This role is only open for candidates that are legally allowed to work within the Philippines As a pivotal member of the engineering team, you will design, build, and maintain scalable, secure, and highly automated AWS cloud infrastructure that supports our AI-powered content management and life sciences documentation platform. Your team will lead the development and optimization of CI/CD pipelines, implement Infrastructure as Code (IaC) practices, and collaborate closely with data scientists and software engineers to operationalize machine learning models and AI workloads. Your work will directly enable rapid, reliable software and AI model deployments, ensuring high availability, security, and compliance in a regulated environment.
You will drive automation and infrastructure scalability to support company’s evolving AI and MLOps capabilities.
Responsibilities
AWS Cloud Infrastructure: Architect, deploy, and manage secure, scalable cloud infrastructure using AWS services such as EC2, Lambda, S3, DynamoDB, CloudFormation, CDK, EKS, and ECS. Infrastructure as Code: Develop and maintain IaC templates and scripts using AWS CloudFormation, AWS CDK, Terraform, or similar tools to automate provisioning and configuration, ensuring reproducibility and consistency across environments. CI/CD Pipeline Development: Design, implement, and optimize automated CI/CD pipelines using GitLab CI/CD to enable continuous integration, testing, and deployment of both software and AI/ML models.
AI Platforms and MLOps: Collaborate with data scientists and ML engineers to deploy, monitor, and maintain machine learning models in production. Build and automate end-to-end ML pipelines, including model training, evaluation, versioning, and deployment using tools such as AWS SageMaker. Monitoring and Observability: Implement comprehensive monitoring, logging, and alerting solutions using AWS CloudWatch and New Relic to ensure system health, performance, and security.
Proactively det
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