AIOps Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AIOps Engineer with a contract length of "unknown", offering a pay rate of "unknown". Key skills include Python, LangChain, Elasticsearch, and data visualization with Matplotlib. Experience in automation and agile environments is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 30, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Reston, VA
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🧠 - Skills detailed
#Monitoring #Agile #Python #Langchain #Observability #Elasticsearch #Scripting #Visualization #"ETL (Extract #Transform #Load)" #Anomaly Detection #Plotly #Automation #Libraries #Matplotlib
Role description
Job Description
Design and implement autonomous agents using LangChain for log analysis, anomaly detection, and incident response.
Integrate Elasticsearch with LangChain to extract, summarize, and visualize operational data for observability and monitoring.
Automate workflows for incident detection, alerting, and remediation using Python and LLM-based agents.
Build and maintain integrations with Slack and Microsoft Teams for real-time alerting and collaboration.
Develop graph plotting and data visualization tools using Python libraries (e.g., Matplotlib, Plotly) to support operational insights.
Demonstrate strong proficiency in Python for scripting, backend development, and automation.
Possess hands-on experience with LangChain, AutoGen, or similar agentic frameworks for building intelligent systems.
Collaborate with cross-functional teams to translate operational needs into intelligent automation solutions.
Exhibit excellent problem-solving, analytical, and communication skills in a fast-paced, agile environment.
Job Description
Design and implement autonomous agents using LangChain for log analysis, anomaly detection, and incident response.
Integrate Elasticsearch with LangChain to extract, summarize, and visualize operational data for observability and monitoring.
Automate workflows for incident detection, alerting, and remediation using Python and LLM-based agents.
Build and maintain integrations with Slack and Microsoft Teams for real-time alerting and collaboration.
Develop graph plotting and data visualization tools using Python libraries (e.g., Matplotlib, Plotly) to support operational insights.
Demonstrate strong proficiency in Python for scripting, backend development, and automation.
Possess hands-on experience with LangChain, AutoGen, or similar agentic frameworks for building intelligent systems.
Collaborate with cross-functional teams to translate operational needs into intelligent automation solutions.
Exhibit excellent problem-solving, analytical, and communication skills in a fast-paced, agile environment.
