Senior Platform Engineer

EPAM Systems

We're looking for a Senior Platform Engineer who can architect and build automated cloud infrastructure solutions, embed generative AI capabilities within AIOps platforms, and lead innovation efforts in cloud automation. This role calls for strong expertise in DevOps, MLOps, and observability tools to boost operational efficiency and improve service delivery.

Responsibilities

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

Nice to have

Familiarity with agentic architectures like React and techniques for flow engineering
Experience using Bedrock Agents or LangGraph to build workflows
Understanding of how to integrate generative AI into legacy or complex operational environments