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AIOps Architect

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Description

We are seeking an AIOps Architect to lead the AI, agentic automation, and observability architecture for our Software Development Platform (SDP) Services, a 400–500 cloud Python app estate supporting revenue-critical capabilities including Algo Trading, Quant Models, and Data Loaders. In this role, you will own the autonomous operations layer, ensuring reliable, governed execution across 48 tier-one critical apps with sub-2h RTO, 45 databases, and 320 production environments spanning 12 countries.

Responsibilities

  • Define and maintain the AI-driven monitoring and observability architecture for the SDP platform estate
  • Design and operate automated triage and incident classification processes, routing by business capability and technical stack before L2 engagement
  • Provide technical governance on platform-layer changes, guardrails, and patterns for the low-code/no-code environment
  • Serve as the technical interface to the SDP platform governance function
  • Surface operational failure patterns and propose platform-side remediation
  • Ensure SLA adherence, including P1 15 min/4 h, P2 30 min/8 h, with 24×7 coverage for highly critical applications

Requirements

  • 14+ years of overall IT experience, with hands-on experience in platform/solution architecture and AI/ML or AIOps
  • Experience building autonomous multi-agent workflows, LLMOps pipelines, RAG systems, and tool-use integrations across platforms such as Datadog, Jira, and AWS APIs
  • Background in cloud-hosted Python environments, with AWS preferred, including distributed databases and low-code/no-code platform governance
  • Familiarity with enterprise monitoring tooling such as Datadog, Dynatrace, and Prometheus/Grafana, managing 300+ production environments
  • Experience governing low-code/no-code platforms
  • Exceptional ability to communicate technical risks and operational status to non-technical business application owners

Benefits

Opportunity to work on technical challenges that may impact across geographies

Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications

Opportunity to share your ideas on international platforms

Sponsored Tech Talks & Hackathons

Unlimited access to LinkedIn learning solutions

Possibility to relocate to any EPAM office for short and long-term projects

Focused individual development

Benefit package:

  • Health benefits
  • Retirement benefits
  • Paid time off
  • Flexible benefits

Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)

Skills

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See also

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