Role Summary: As a Cloud and AIOps Engineer for the Digital Infrastructure team, you will be responsible for designing, developing, and implementing cloud-based solutions to enhance the reliability, performance, and efficiency of our critical IT and business systems, by leveraging the AI-powered approach to transform how we monitor, manage, and optimize our digital infrastructure and applications. 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:
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- Proven experience 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).
- Certifications in cloud and development technologies are a plus Key Competencies: A highly analytical and hands-on Cloud and AIOps engineer 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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