Lead Platform Engineer

• Design and develop automated workflows for cloud infrastructure provisioning using IaC tools like Terraform

• Build frameworks to support deployment, configuration, and management across diverse cloud environments

• Develop and manage service catalog components, ensuring integration with platforms like Backstage

• Implement GenAI models to enhance service catalog functionality and code quality across automation pipelines

• Design and implement CI/CD pipelines and maintain CI pipeline code for cloud automation use cases

• Write scripts to support cloud deployment orchestration using Python, Bash, or other scripting languages

• Design and deploy generative AI models for AIOps applications such as anomaly detection and predictive maintenance

• Work with frameworks like LangChain or cloud platforms such as Bedrock, Vertex AI, and Azure AI to deploy RAG workflows

• Build and optimize vector databases and document sources using tools like OpenSearch, Amazon Kendra, or equivalent solutions

• Prepare and label data for generative AI models, ensuring scalability and integrity

• Create agentic workflows using frameworks like Langraph or cloud GenAI platforms such as Bedrock Agents

• Integrate generative AI models with operational systems and AIOps platforms for enhanced automation

• Evaluate AI model performance and ensure continuous optimization over time

• Develop and maintain MLOps pipelines to monitor and mitigate model decay

• Collaborate with cross-functional teams to drive innovation and improve cloud automation processes

• Research and recommend new tools and best practices to enhance operational efficiency

Requirements

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

• 7+ years of experience in cloud infrastructure automation, scripting, and DevOps

• Strong proficiency in IaC tools like Terraform, CloudFormation, or similar

• Expertise in Python, cloud AI frameworks such as LangChain, and generative AI workflows

• Demonstrated background in developing and deploying AI models such as RAG or transformers

• Proficiency in building vector databases and document sources using solutions like OpenSearch or Amazon Kendra

• Competency in preparing and labeling datasets for AI models and optimizing data inputs

• Familiarity with cloud platforms including AWS, Google Cloud, or Azure

  • Capability to implement MLOps pipelines and monitor AI system performance