Informacje o stanowisku

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.

Scope:

• 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.

Skills:

• 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.

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