Lead - Tool Enhacement

JD: Senior IT, Automation & AI Operations Engineer (10+ Years IT Experience) Job Title: Senior IT, Automation & AI Operations Engineer Role Summary We are seeking a Senior IT, Automation & AI Operations Engineer with deep experience in enterprise application architecture, data platforms, AI/ML-driven systems, and modern distributed architectures . The role requires strong ownership of end-to-end solution design, intelligent automation, AIOps enablement, and technical governance , while leading multiple delivery teams across complex environments.

Key Responsibilities Application Architecture & Intelligent Solution Design

• Own end-to-end solution architecture for enterprise-scale and mission-critical systems.
• Translate business and operational requirements into scalable, secure, resilient, and AI-enabled architectures.
• Define reference architectures, design standards, and automation-first best practices.
• Review and approve solution designs across teams, including AI/ML and AIOps use cases.

Application, Platform & Microservices Architecture

• Architect microservices-based and event-driven applications.
• Guide front-end, back-end, and platform-level design decisions.
• Design API-led, asynchronous, and data-driven systems integrated with AI services.

Technologies

• Spring Boot / Node.js / FastAPI
• Docker, Kubernetes, OpenShift
• REST, Event Streaming, API Gateways
• RAG, MCPs

AI/ML Applications & Intelligent Automation

• Design and integrate AI/ML-powered applications for:

• Predictive analytics
• Anomaly detection
• Recommendation engines
• Intelligent decision support

• Enable ML model deployment and inference within enterprise platforms.
• Support LLM-based use cases such as intelligent search, chatbots, and automation copilots.
• Collaborate with data science teams to operationalize models using MLOps practices.

AIOps & IT Operations Automation

• Architect AIOps platforms for proactive IT operations.
• Enable:

• Event correlation and noise reduction
• Predictive incident detection
• Root cause analysis using ML
• Automated remediation and self-healing systems

• Integrate observability data (logs, metrics, traces) into AI-driven operational insights.

Data & Integration Architecture

• Design data flows across OLTP, OLAP, streaming, and analytics platforms.
• Define data ingestion and integration strategies supporting AI/ML and real-time analytics.
• Ensure data consistency, quality, governance, and scalability across platforms.

Leadership & Stakeholder Management

• Act as the primary technical advisor to business, IT, and operations stakeholders.
• Mentor architects, automation engineers, and platform teams.
• Support estimation, roadmap planning, and delivery governance for automation and AI initiatives.

Required Qualifications

• 10+ years of IT experience , with strong exposure to automation and platform engineering.
• Deep understanding of:

• Distributed systems
• Microservices and event-driven architectures
• Cloud and container platforms
• Data-driven and AI-enabled architectures

• Experience in development and integrating AI/ML solutions into enterprise systems.
• Exposure to AIOps platforms or intelligent IT operations.
• Excellent communication, documentation, and leadership skills.

Preferred Qualifications

• Telecom Experience
• Experience with AIOps tools (e.g., Moogsoft, Dynatrace, Splunk ITSI, Elastic, PagerDuty).
• Exposure to ML platforms (MLflow, SageMaker, Azure ML).
• Knowledge of LLMs, RAG pipelines, and AI orchestration frameworks.
• Cloud or architecture certifications.