Technology Skills

Required hands-on experience includes:

Python ability to build scalable, production-grade services and analytics pipelines.

AIOps & Observability Analytics

o Working with telemetry (metrics/logs/traces/events)

o Practical exposure to orchestration frameworks (e.g., LangChain/LangGraph/CrewAI or similar)

o Anomaly detection approaches (statistical + ML-based)

o Correlation techniques (time-series + topology/context)

o Alert deduplication / suppression / classification

Data & Analytics Engineering

o Data modelling for operational datasets (ITSM + telemetry)

o SQL and/or equivalent querying capability

o Dashboard development (BI and/or observability dashboards)

o Understanding reasoning patterns and safe operationalization - Tool-use, verification layers, guardrails, human approvals

GenAI / RAG for Operational Knowledge

o Building RAG pipelines, embeddings, vector search concepts

o Evaluation approaches (grounding, accuracy, hallucination reduction)

o RAG systems using internal knowledge sources (runbooks, postmortems, KEDB)

Integration & Automation

o API integration and enterprise workflow integration patterns

o Automation frameworks / orchestration basics (human-in-loop controls)

o Designing assistants/agents to support incident triage, diagnostics, summarization, and enrichment

Leadership & Behavioural

Partner across Infrastructure,



CC/NOC, Service Management, Product/Engineering, Security to deliver operational outcomes.

Strong stakeholder engagement able to communicate complex insights clearly to senior stakeholders.

Pragmatic execution under ambiguity; proactive, outcome-driven delivery.

Proficient in verbal and written English, with the ability to communicate comfortably with senior management and stakeholders.

Good To Have

Experience with AIOps platforms and/or enterprise observability tooling (any major platform acceptable).

Familiarity with ITSM data structures (Incidents/Problems/Changes, categorisation, routing, SLAs).

React + JavaScript (for lightweight UIs for operational assistants).

Data Structures & Algorithms (intermediate foundations).

Qualifications

Graduation or Post Graduation.

Experience building analytics/AI solutions for operations (NOC/CC/ITSM) preferred..

3-5 years of hands-on experience across AI/analytics stacks (incl. Gen AI exposure)

Overall 6-8 years of experience. ( adaptable )

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📌 Systems Engineering II SM AI / AIOps & GenAI Engineer (Bengaluru)
🏢 Sigma Allied Services
📍 Bengaluru