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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).
Bachelors 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
#LI-7013Full-Time