Lead Architect - AI Operations

• Develop and design AIOps architecture aligned with organizational goals, ensuring scalability, flexibility, and cost efficiency.
• Ensure alignment of business, application, and infrastructure architecture with overarching guidelines and roadmaps (e.g., DevOps Domain).
• Design and implement necessary initiatives and technical enablers to optimize the architecture.
• Provide transparency on the Architecture Runway and drive key actions for development.
• Act as Business Epics Owner for architectural measures and collaborate with architects across other domains.
• Develop architectural concepts, considering business requirements and performing feasibility studies.
• Harmonize and optimize the architecture and solution designs.
• Design sustainable architectural visions based on holistic business needs.
• Evaluate and select AI technologies, tools, and frameworks to build a robust AIOps infrastructure.
• Stay current with industry trends and emerging technologies related to AIOps, recommending relevant adoptions.
• Lead the implementation of AIOps solutions, ensuring seamless integration into existing IT infrastructure.
• Work closely with IT teams for smooth deployment and provide technical expertise during the implementation phase.
• Design data pipelines for collecting, processing, and analyzing IT operations data.
• Implement AI-driven analytics to provide actionable insights for proactive issue resolution and performance optimization.
• Collaborate with IT stakeholders to understand their needs and incorporate feedback into the AIOps architecture.
• Effectively communicate technical concepts to both technical and non-technical audiences.
• Manage projects related to AIOps.

Project Tech Stack:

• Angular, Linux environment (Putty, Shell/Bash), VirtualEnv (Docker), GitLab, Jenkins
• REST-based web services/APIs, web servers (Nginx, Apache)
• Databases: ElasticSearch, Kibana, NoSQL (MongoDB, ArangoDB), Anaconda, MariaDB, PostgreSQL
• Backend: JavaScript, JSON, NodeJS, Flask, Python, Ruby, Anaconda
• DevOps: AWS, Lambda, S3
• Data management: Prefect
• NLP/ML: BERT, DBScan, Numpy, Jupyter Notebook, Hugging Face, GNN, NSP, NER, Facebook Prophet

• Proven experience as an IT Architect with a focus on AIOps architecture.
• Strong knowledge of artificial intelligence, machine learning, and their applications in IT operations.
• Proficiency in programming languages and scripting (e.g., Python, Java, PowerShell).
• Experience with AIOps tools and platforms.
• Excellent problem-solving, analytical, and communication skills.

We believe in maintaining a healthy balance between work and personal life. Our comprehensive work-life balance portfolio promotes physical and mental well-being, offering over 25 different benefits to improve your personal and professional life. These include:

• Financial benefits
• Learning and development opportunities
• Health and sports benefits
• Family and work-life balance support