MS IT InfraCloud Senior Associate(Sr. Analyst) Service ReliabilityAutomation- operate

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Additional Responsibilities: (This field may be used to describe the daily role duties and/or purpose of this Job Profile/Job Description. The field is limited to 500 characters including spaces.)

Supports automation and AIOps tasks across IT operations. Assists with workflow orchestration data preparation for model training event correlation predictive alerting and routine scripting activities. Helps maintain dashboards monitor workflow success rates and contribute to continuous improvement of automated processes.

Minimum Degree Required: Bachelors

Degree Preferred: Bachelors or masters in science Computer Science Engineering

Minimum Years of Experience: 47year(s)

Certifications Required: None

Certifications Preferred: AWS Cloud Practitioner; Azure Fundamentals; ITIL Foundation Terraform Ansible ServiceNOW Developer AI Certifications (Langchain Langgraph AWS AI) React Amelia Platform.

Required / Mandatory Knowledge/Skills: (character count limit 5000) *PLEASE ONLY USE THIS FIELD IF THIS IS A MUST HAVE SKILL FOR APPLICANT*

• Foundational understanding of automation concepts workflow orchestration and event-driven operations

• Basic scripting ability (PowerShell Shell Python or JavaScript)

• Familiarity with AI/ML concepts LLM outputs and how models interact with operational processes

• Ability to support intake workflows request routing and ticket categorization

• Understanding of cloud-native automation services (AWS Lambda API Gateway Step Functions)

• Ability to validate workflow runs identify failures and escalate issues

• Comfort with data collection cleansing and preparation for model tuning

• Ability to review automation logs and telemetry signals for anomalies

• Experience documenting runbooks process flows and SOPs

Preferred Knowledge/Skills: (character count limit 5000)* PLEASE MAKE THIS A BULLETED LIST WHERE EACH SENTENCE STARTS WITH THE SAME VERB TENSE (I.E. PROVIDES DEVELOPS FACILITATES ETC.)

• Supports maintenance of MSKAssist intake workflows and routing logic;

• Supports analysis of routing efficiency SLA alignment and user experience data;

• Supports AI feature improvements such as request classification KB integration and model feedback loops;

• Supports monitoring of AI interactions completion rates and adoption metrics;

• Supports development of simple dashboards for automation insights and usage reporting;

• Supports discovery of automation opportunities across IT operations;

• Supports documentation of process flows and technical requirements;

• Supports development of proof-of-concept automations;

• Supports workflow execution monitoring failure escalation and optimization activities;

• Supports scripting tasks for provisioning patching and repetitive IT activities.