GenAI platform engineer

SNI is serving as a trusted IT Outsourcing partner in line with the needs of World's most prestigious firms and carried out successful projects worldwide

• Lead design and development of scalable platforms supporting Data Science, MLOps, and LLMOps.
• Drive deployment, serving, and monitoring of LLMs using AWS SageMaker, Bedrock and related services.
• Define Infrastructure-as-Code standards using AWS CDK and CloudFormation.
• Build and maintain CI/CD pipelines with GitHub Actions, Jenkins, and AWS tooling.
• Implement observability using CloudWatch, Prometheus, and Grafana.
• Champion TDD, automation, and engineering best practices.
• Influence system architecture and long-term technical strategy with architects and product leaders.
• Embed security across the SDLC using DevSecOps principles.
• Mentor engineers and foster a high-performing technical community.

• Extensive DevOps/MLOps experience building ML platforms in AWS.
• Strong knowledge of SageMaker, Bedrock, ECS/EKS, Lambda, IAM, VPC, and S3.
• Advanced Infrastructure-as-Code experience (AWS CDK, CloudFormation, or Terraform).
• Proven delivery of end-to-end MLOps pipelines (e.g., MLflow, SageMaker Pipelines).
• Deep experience with Docker, Kubernetes, and production CI/CD (GitHub Actions, Jenkins).
• Strong understanding of cloud security, governance, and scalable system design.
• Hands-on experience deploying LLMs and GenAI models to production.
• Proven ability to lead cross-team initiatives and influence at scale.

• Start date: ASAP
• Contract Duration: 6 months with extension
• Remote work with occasional on-site team sessions in UK