Senior DevOps Architect || Generative AI Expertise || Onsite Interview Mandatory ||
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• || Onsite Interview Mandatory || Onsite Interview Mandatory || Onsite Interview Mandatory ||
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• || We need an Architect profile only || We need an Architect profile only || We need an Architect profile only
Job Title: Senior DevOps Architect with Generative AI Expertise
Experience: 10+ years (Must)
Pay rate: 65$/Hr
Client: I will let you know over the call
Note:
Contract: This is a C2C/W2 contract position.
VISA: H1B Only (Passport number is required to proceed with the application)
Interview Mode: Must take an on-site Interview
Job Summary:
We are seeking a highly experienced Senior DevOps Architect with deep expertise in Generative AI to drive the evolution of our cloud infrastructure, automation strategies, and AI-integrated solutions. The ideal candidate will provide technical leadership, design scalable and resilient architectures, and ensure seamless integration of AI and DevOps best practices into our enterprise systems.
Responsibilities:
Technical Leadership & Strategy:
• Provide technical consultation and leadership to business stakeholders and IT teams.
• Define and enforce DevOps and AI-driven strategies to optimize automation, security, and scalability.
• Stay at the forefront of AI advancements and implement best practices for AI integration in DevOps pipelines.
Architecture Design & Implementation:
• Design and implement scalable, secure, and highly available cloud architectures using AWS and AI-driven tools.
• Establish frameworks for Generative AI deployment, including AI model training, monitoring, and optimization.
• Lead migration efforts for legacy applications to cloud-native and AI-optimized solutions.
• Ensure compliance with industry standards, security policies, and regulatory requirements.
AI & Automation Innovation:
• Develop innovative AI-driven automation solutions to enhance DevOps efficiency.
• Implement AI-powered predictive analytics for proactive monitoring and incident prevention.
• Optimize CI/CD pipelines with AI-based testing, anomaly detection, and self-healing capabilities.
Feasibility & Project Execution:
• Conduct feasibility studies and evaluate emerging AI/DevOps trends for enterprise adoption.
• Estimate efforts and evaluate the technical feasibility of proposed solutions.
• Guide teams through best practices for infrastructure as code (IaC), automation, and AI deployment.
Qualifications:Mandatory:
• 10+ years in DevOps, Cloud Architecture, and Automation.
• Expertise in AWS services (EC2, Lambda, S3, IAM, RDS, ECS, EKS, CloudFormation, Bedrock).
• Hands-on experience with Generative AI technologies, including LLMs, AI/ML pipelines, AI model deployment.
• Strong skills in CI/CD tools (Jenkins, GitHub Actions, GitLab CI/CD, ArgoCD) and IaC tools (Terraform, AWS CloudFormation).
• Experience in cloud migration, containerization (Docker, Kubernetes), and DevSecOps.
• Excellent communication, leadership, and mentoring skills.
Preferred:
• Experience with AWS Bedrock, AI-powered DevOps automation, and AI-driven observability.
• Proficiency in Python, Golang, or Java for automation.
• Certifications: AWS Solutions Architect – Professional, AWS DevOps Engineer – Professional.
•
•
• || Onsite Interview Mandatory || Onsite Interview Mandatory || Onsite Interview Mandatory ||
•
•
•
•
•
•
• || We need an Architect profile only || We need an Architect profile only || We need an Architect profile only
Job Title: Senior DevOps Architect with Generative AI Expertise
Experience: 10+ years (Must)
Pay rate: 65$/Hr
Client: I will let you know over the call
Note:
Contract: This is a C2C/W2 contract position.
VISA: H1B Only (Passport number is required to proceed with the application)
Interview Mode: Must take an on-site Interview
Job Summary:
We are seeking a highly experienced Senior DevOps Architect with deep expertise in Generative AI to drive the evolution of our cloud infrastructure, automation strategies, and AI-integrated solutions. The ideal candidate will provide technical leadership, design scalable and resilient architectures, and ensure seamless integration of AI and DevOps best practices into our enterprise systems.
Responsibilities:
Technical Leadership & Strategy:
• Provide technical consultation and leadership to business stakeholders and IT teams.
• Define and enforce DevOps and AI-driven strategies to optimize automation, security, and scalability.
• Stay at the forefront of AI advancements and implement best practices for AI integration in DevOps pipelines.
Architecture Design & Implementation:
• Design and implement scalable, secure, and highly available cloud architectures using AWS and AI-driven tools.
• Establish frameworks for Generative AI deployment, including AI model training, monitoring, and optimization.
• Lead migration efforts for legacy applications to cloud-native and AI-optimized solutions.
• Ensure compliance with industry standards, security policies, and regulatory requirements.
AI & Automation Innovation:
• Develop innovative AI-driven automation solutions to enhance DevOps efficiency.
• Implement AI-powered predictive analytics for proactive monitoring and incident prevention.
• Optimize CI/CD pipelines with AI-based testing, anomaly detection, and self-healing capabilities.
Feasibility & Project Execution:
• Conduct feasibility studies and evaluate emerging AI/DevOps trends for enterprise adoption.
• Estimate efforts and evaluate the technical feasibility of proposed solutions.
• Guide teams through best practices for infrastructure as code (IaC), automation, and AI deployment.
Qualifications:Mandatory:
• 10+ years in DevOps, Cloud Architecture, and Automation.
• Expertise in AWS services (EC2, Lambda, S3, IAM, RDS, ECS, EKS, CloudFormation, Bedrock).
• Hands-on experience with Generative AI technologies, including LLMs, AI/ML pipelines, AI model deployment.
• Strong skills in CI/CD tools (Jenkins, GitHub Actions, GitLab CI/CD, ArgoCD) and IaC tools (Terraform, AWS CloudFormation).
• Experience in cloud migration, containerization (Docker, Kubernetes), and DevSecOps.
• Excellent communication, leadership, and mentoring skills.
Preferred:
• Experience with AWS Bedrock, AI-powered DevOps automation, and AI-driven observability.
• Proficiency in Python, Golang, or Java for automation.
• Certifications: AWS Solutions Architect – Professional, AWS DevOps Engineer – Professional.
