What are the responsibilities and job description for the XOps Engineer position at Jobs via Dice?
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Skill sets:
Xops, Devops, MLops, Python, IaC, Ci/CD, Devops, AWS Security & Identity, Bedrock Agentcore, LangGraph, CrewAI, MCP, AWS AI
Python(3.11 ) hands-on experience building robust applications and agentic logic.
Infrastructure as Code (IaC): Production-level expertise using Terraform to provision AWS services, including Bedrock Agents, Knowledge Bases,DynamoDB, Lambda etc.
CI/CD & DevOps: Proven track record in building and maintaining automated deployment pipelines for cloud-native applications.
AWS Security & Identity: Deep experience with IAM for fine-grained permissions and secure service communication.
AWS Bedrock AgentCore (2025): Familiarity with the latest ecosystem, specifically the Agent Runtime, Memory, Identity, and Tool Gateway layers.
Multi-Agent Orchestration: Experience building or enabling collaborative systems using frameworks like LangGraph, CrewAI, or AutoGen.
Model Context Protocol (MCP): Strong understanding of MCP and modern tool/API integration patterns for AI agents.
AWS Certification: Must hold at least one of the following: AWS Certified Solutions Architect – Associate, AWS Certified Developer – Associate, or AWS Certified AI Practitioner.
Willingness to learn emerging AI technologies, frameworks, and evolving cloud services
Skill sets:
Xops, Devops, MLops, Python, IaC, Ci/CD, Devops, AWS Security & Identity, Bedrock Agentcore, LangGraph, CrewAI, MCP, AWS AI
Python(3.11 ) hands-on experience building robust applications and agentic logic.
Infrastructure as Code (IaC): Production-level expertise using Terraform to provision AWS services, including Bedrock Agents, Knowledge Bases,DynamoDB, Lambda etc.
CI/CD & DevOps: Proven track record in building and maintaining automated deployment pipelines for cloud-native applications.
AWS Security & Identity: Deep experience with IAM for fine-grained permissions and secure service communication.
AWS Bedrock AgentCore (2025): Familiarity with the latest ecosystem, specifically the Agent Runtime, Memory, Identity, and Tool Gateway layers.
Multi-Agent Orchestration: Experience building or enabling collaborative systems using frameworks like LangGraph, CrewAI, or AutoGen.
Model Context Protocol (MCP): Strong understanding of MCP and modern tool/API integration patterns for AI agents.
AWS Certification: Must hold at least one of the following: AWS Certified Solutions Architect – Associate, AWS Certified Developer – Associate, or AWS Certified AI Practitioner.
Willingness to learn emerging AI technologies, frameworks, and evolving cloud services