Lead Platform Engineer

Job description

We are seeking an experienced **Lead Platform Engineer** to join our Automation Engineering team. The ideal candidate will excel in cloud infrastructure automation, generative AI, and machine learning, with a strong foundation in DevOps practices and modern scripting tools. This role involves designing cutting-edge AI-driven solutions for AIOps while innovating cloud automation processes to optimize operational efficiency. **Responsibilities** - 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 **Nice to have** - Knowledge of agentic architectures such as React and flow engineering techniques - Background in using Bedrock Agents or Langraph for workflow creation - Understanding of integrating generative AI into legacy or complex operational systems