Job Description

  • Cloud Infrastructure Management: Design, implement, and manage cloud-based infrastructure on AWS and Azure, ensuring optimal scalability, performance, and security. 
  • CI/CD Pipeline Development: Develop and maintain CI/CD pipelines using GitHub Actions for automated code deployments and testing. 
  • System Monitoring and Incident Management
  • Implement and configure Datadog for comprehensive system monitoring. 
  • Develop and maintain Datadog dashboards to visualize system performance and metrics. 
  • Set up proactive alerts in Datadog to detect and respond to incidents swiftly, ensuring high system reliability and uptime. 
  • Conduct root cause analysis of incidents and implement corrective actions using Datadog insights. 
  • Collaboration with AI Teams: Work closely with AI teams to support the operational aspects of LLMs, including deployment strategies and performance tuning
  • Infrastructure as Code (IaC): Implement IaC using tools like Terraform or AWS CloudFormation to automate infrastructure provisioning and management. 
  • Container Orchestration: Manage container orchestration systems such as Kubernetes or AWS ECS. 
  • Operational Support for LLMs: Provide operational support for LLMs, focusing on performance optimization and reliability. 
  • Scripting and Automation: Utilize scripting languages such as Python and Bash for automation and task management
  • Security and Compliance: Ensure compliance with security standards and best practices, implementing robust security measures. 
  • Documentation: Document system configurations, procedures, and best practices for internal and external stakeholders. 
  • DevOps Collaboration: Work with development teams to optimize deployment workflows, introduce best practices for DevOps, and improve overall efficiency. 
  • Technology and Industry Awareness: Stay up-to-date with emerging technologies and industry trends to suggest improvements and upgrades.  ​



Requirements

Qualifications And Skills Required  


  • Extensive experience with AWS and Azure cloud platforms. 
  • Proficiency in developing CI/CD pipelines using GitHub Actions. 
  • Strong experience with Datadog for system monitoring, including implementation, configuration, and maintenance. 
  • Demonstrated ability to create and maintain Datadog dashboards for performance visualization. 
  • Proven expertise in setting up alerts and conducting incident response with Datadog. 
  • Hands-on experience with container orchestration systems such as Kubernetes or AWS ECS. 
  • Proficiency in Infrastructure as Code (IaC) tools like Terraform or AWS CloudFormation. 
  • Familiarity with operational aspects of Large Language Models (LLMs) is highly desirable. 
  • Strong scripting skills in Python, Bash, or similar languages. 
  • In-depth knowledge of security standards and best practices. 
  • Excellent documentation skills. 
  • Proven ability to work collaboratively with development and AI teams. 
  • Commitment to staying current with industry trends and emerging technologies 


Job Details

Role Level: Mid-Level Work Type: Full-Time
Country: India City: Gajuwaka ,Andhra Pradesh
Company Website: www.ventureinformatrix.com Job Function: DevOps & QA
Company Industry/
Sector:
Outsourcing and Offshoring Consulting

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Job Snapshot

Work TypeFull-Time
Role LevelMid-Level
Job FunctionDevOps & QA
CityGajuwaka
IndustryOutsourcing and Offshoring Consulting
Posted01 Nov 2026
Job ID2611-60301-8
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