Job Location: - Bengaluru We are seeking a highly skilled and forward-thinking Senior AI-Driven DevOps Engineer to join our team. This role blends traditional AWS DevOps expertise with cutting-edge AI capabilities. The ideal candidate will have hands-on experience in Prompt Engineering, AI assisted development & troubleshooting, system administration, extensive experience with Amazon Web Services (AWS) infrastructure and preferably Agentic AI systems. You will be instrumental in designing and maintaining scalable cloud infrastructure while leveraging AI to enhance automation, diagnostics, operational efficiency and security of our applications..
Key Responsibilities
Cloud Infrastructure
Design, implement, and manage CI/CD pipelines and infrastructure on AWS.
Automate deployment, monitoring, and scaling of cloud-native applications.
Uptime of production systems, middleware and Oracle for Cloud & OnPremise.
Optimize cloud resource usage for performance and cost-efficiency.
Ensure security and compliance across cloud environments.
AI & Prompt Engineering
Develop & fine-tune prompts for LLMs to automate AWS DevOps tasks, diagnostics, and reporting.
Integrate AI tools into workflows for code generation, testing, and debugging.
Collaborate with AI/ML teams to build and deploy models that support operational automation. 2025 MetricStream Inc. All Rights Reserved.
Collaboration & Documentation
Design or implement Agentic AI systems that autonomously perform tasks such as incident resolution, infrastructure scaling, or system health checks.
Document systems, processes, and AI workflows for transparency and future scalability.
Agentic AI (Preferred)
Evaluate and integrate frameworks for agent-based automation.
Work closely with development & AI teams to ensure seamless integration of AI capabilities.
Skills and Experience
5+ years of experience in DevOps with strong AWS expertise.
Proven experience in Prompt Engineering for LLMs.
Strong experience with AWS services such as EC2, S3, RDS, Lambda, and VPC.
Proficiency in Python, Bash, or PowerShell or other scripting languages.
Experience with containerization (Docker, Kubernetes) and IaC tools (Terraform, CloudFormation).
Deep understanding of CI/CD pipelines and tools such as Jenkins, GitLab CI, or AWS CodePipeline and familiarity with AI-assisted development tools (e.g., WindSurf).
Strong problem-solving, troubleshooting and communication skills.
Preferred Skills:
Experience with Agentic AI frameworks or implementations.
AWS Certified DevOps Engineer or equivalent.
Exposure to AI observability, monitoring and logging tools such as CloudWatch, ELK Stack, or Prometheus.
Familiarity with LangChain, Semantic Kernel, or similar agentic frameworks, Agile methodologies and practices.
Experience with configuration management tools (Ansible, Chef, Puppet).
Education
* Bachelor's degree in Computer Science, Information Technology, or related field.
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