Senior Platform Engineer

• Develop automated workflows for provisioning cloud infrastructure using IaC tools such as Terraform

• Create frameworks that support deployment, configuration, and management across various cloud environments

• Manage and develop service catalog components while ensuring smooth integration with platforms like Backstage

• Apply GenAI models to improve service catalog capabilities and elevate code quality within automation pipelines

• Architect and implement CI/CD pipelines, while maintaining CI pipeline code for cloud automation purposes

• Write automation scripts for cloud deployment orchestration using Python, Bash, or similar scripting languages

• Build and deploy generative AI models to support AIOps use cases like anomaly detection and predictive maintenance

• Leverage frameworks such as LangChain or cloud platforms including Bedrock, Vertex AI, and Azure AI to deploy RAG workflows

• Construct and fine-tune vector databases and document sources using tools such as OpenSearch, Amazon Kendra, or similar solutions

• Prepare and label datasets for generative AI models while maintaining scalability and data integrity

• Develop agentic workflows using frameworks like LangGraph or GenAI platforms such as Bedrock Agents

• Connect generative AI models with operational systems and AIOps platforms to strengthen automation

• Assess AI model performance and drive ongoing optimization efforts

• Build and maintain MLOps pipelines to track and address model decay

• Partner with cross-functional teams to foster innovation and enhance cloud automation workflows

• Investigate and propose new tools and best practices to strengthen operational efficiency

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline

• Minimum of 5 years working in cloud infrastructure automation, scripting, and DevOps

• Skilled in IaC tools including Terraform, CloudFormation, or comparable technologies

• Strong command of Python, cloud AI frameworks like LangChain, and generative AI workflow design

• Experience building and deploying AI models such as RAG or transformer-based architectures

• Skilled in constructing vector databases and document sources through tools like OpenSearch or Amazon Kendra

• Capable of preparing and labeling datasets for AI models while optimizing data inputs

• Familiar with cloud platforms such as AWS, Google Cloud, or Azure

  • Able to implement MLOps pipelines and track AI system performance