We are hiring a Senior Platform Engineer to architect automated cloud infrastructure, integrate generative AI into AIOps capabilities, and advance cloud automation practices. You will build IaC, CI/CD, and MLOps solutions and improve observability outcomes—apply today.

Responsibilities

Build automated workflows to provision cloud infrastructure using IaC tools such as Terraform
Create reusable frameworks for deployment, configuration, and management across different cloud environments
Own service catalog components and maintain smooth integration with platforms like Backstage
Leverage GenAI models to enhance service catalog features and raise code quality in automation pipelines
Implement CI/CD pipelines and maintain CI pipeline code used for cloud automation
Develop automation scripts for deployment orchestration using Python, Bash, or similar scripting languages
Deliver generative AI models that enable AIOps use cases like anomaly detection and predictive maintenance
Deploy RAG workflows using frameworks such as LangChain or cloud platforms including Bedrock, Vertex AI, and Azure AI
Build and refine vector databases and document sources using tools such as OpenSearch, Amazon Kendra, or similar solutions
Curate, prepare, and label datasets for generative AI models while ensuring scalability and data integrity
Implement agentic workflows using frameworks like LangGraph or GenAI platforms such as Bedrock Agents
Connect generative AI models to operational systems and AIOps platforms to reinforce automation
Measure AI model performance and lead iterative optimization efforts
Maintain MLOps pipelines to track model decay and address it proactively
Coordinate with cross-functional teams to drive innovation and improve cloud automation workflows
Explore and propose new tools and best practices to boost operational efficiency

Requirements

Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline
Minimum 5 years working in cloud infrastructure automation, scripting, and DevOps
Hands-on expertise with IaC tooling including Terraform, CloudFormation, or comparable technologies
Strong command of Python, cloud AI frameworks like LangChain, and generative AI workflow design
Track record of delivering and deploying AI models such as RAG or transformer-based architectures
Experience building vector databases and document sources through tools like OpenSearch or Amazon Kendra
Ability to prepare and label datasets for AI models while optimizing data inputs
Familiarity with cloud platforms such as AWS, Google Cloud, or Azure
Experience implementing MLOps pipelines and tracking AI system performance

Nice to have

Knowledge of agentic architectures like React and techniques for flow engineering
Hands-on experience with Bedrock Agents or LangGraph for workflow development
Understanding of integrating generative AI into legacy or complex operational environments