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Job Responsibility:  

·        Platform Development: Design, develop, and implement cloud-based solutions, leveraging AI/ML to automate and enhance IT operations.

·        Intelligent Automation: Drive the automation of routine operational tasks, incident response, and remediation workflows using AI-driven agents and orchestration tools, minimizing manual intervention and improving operational efficiency.

·        Incident Management and Remediation: Integrate AIOps insights with existing incident management systems, providing real-time intelligence to rapidly identify, diagnose, and resolve IT issues, leading to proactive issue resolution and reduced mean time to recovery (MTTR).

·        Predictive Analysis and Performance Optimization: Lead the implementation of AIOps models for proactive anomaly detection, root cause analysis, and predictive insights to fine-tune IT systems for peak operational efficiency, capacity planning, and resource optimization.

·        Technical acumen: Provide technical support to peers, promoting architectural excellence, innovation, and best practices in Cloud and AIOps development and operations.

·        Cross-Functional Collaboration: Partner with cloud architects, platform engineers,  functional leads, and IT operations teams to integrate AI agents into the platform and ensure solutions align with business needs and deliver measurable ROI.

·        Innovation & Research: Actively research and evaluate emerging Cloud and AIOps technologies, generative AI, and advanced RAGs, bringing promising innovations into production through POCs and long-term architectural evolution.

 

 Job Qualification: 

·        Experience of 4+ years in building and deploying cloud solution and managing multi-cloud environments (AWS, Azure, Google Cloud).

·      Extensive knowledge and hands-on experience with cloud technologies and services such as EC2, EBS, S3, Terraform, CLI, API, CICD Pipeline, FinOps, VPC, RDS, Resource Manager.

·        Experience building and using cloud native and custom AI tools and services

·        Experience with developing full-stack applications and services, is preferred

·        Experience managing cloud-based operations and processes such as alerting, monitoring, logging and incident management

·        Demonstrated ability to translate business requirements and operational challenges into technical specifications and deliver robust AIOps solutions.

·        Strong communication and interpersonal skills, with a track record of influencing technical and cross-functional stakeholders.

·        Experience with software development life cycle (SDLC) and agile/iterative methodologies with programming and scripting experience in relevant language, Python, Terraform, Cloud formation, JSON

·        Familiarity with containerization (Docker, Kubernetes).

·        Bachelor’s degree in Computer Science, Information Technology, or a related field.

·        Certifications in cloud and development technologies are a plus

 

 Key Competencies:

A highly analytical and hands-on Cloud and AIOps lead who is passionate about leveraging AI to drive operational excellence and resilience in a fast-paced environment, bridging the gap between AI development and IT operations, and is committed to building intelligent, self-healing systems that power a world-class experience. 

·        Programming Languages : Python, Java, Javascript, NodeJs

·        Operating Systems : Windows, Linux, MacOS

·        Web Languages : HTML, CSS, JavaScript

·        Development Frameworks and Other : NodeJs, React, API Automation, Postman

·        Version Control : Git, Github

·        Cloud Services : AWS, Azure, GCP


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