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Architect - Observability and Chaos Engineering

Techblocks -
Hyderabad, Telangana

Quick apply

Job details

3 days ago

Qualifications

CI/CD
Law
Incident management
MCP
Kubernetes
DevOps
Master's degree
AWS
Analysis skills
Distributed systems
Continuous integration
Scripting
Root cause analysis
AI
Python

Full job description

Role: Observability & Chaos Engineering Specialist (Langfuse / AWS / MCP Agents)

Role Overview

We are seeking an experienced Observability & Chaos Engineering Specialist to support monitoring, resilience, and operational excellence initiatives for AI-driven and cloud-native systems. The ideal candidate will have strong expertise in Langfuse, AWS native observability services, MCP agent-based environments, and Chaos Engineering using AWS Fault Injection Simulator (FIS).

The role focuses on building highly observable, resilient, and fault-tolerant distributed systems by implementing advanced monitoring, tracing, logging, and controlled failure testing practices.

Key Responsibilities

Design and implement observability frameworks for AI/agent-based systems and distributed cloud-native applications
Configure and manage Langfuse for LLM/AI workflow observability, tracing, monitoring, and evaluation
Develop monitoring and telemetry solutions for MCP agent setups and multi-agent orchestration environments
Implement and optimize AWS native observability services, including:
- CloudWatch
- X-Ray
- CloudTrail
- OpenSearch / Logging frameworks
Establish centralized logging, distributed tracing, metrics collection, and alerting mechanisms
Design and execute Chaos Engineering experiments using AWS Fault Injection Simulator (FIS) to validate system resilience and recovery capabilities
Simulate infrastructure, network, and service failures to identify system weaknesses and improve fault tolerance
Collaborate with DevOps, Platform Engineering, AI Engineering, and Security teams to improve operational reliability
Build dashboards, alerts, and health monitoring systems for proactive incident detection and response
Analyze system behavior under stress conditions and recommend architecture improvements
Support incident troubleshooting, root cause analysis, and reliability optimization initiatives
Maintain technical documentation for observability architecture, chaos testing scenarios, and operational runbooks

Required Skills & Qualifications

12+ years of experience in Observability Engineering, SRE, DevOps, or Platform Engineering
Strong hands-on experience with:
- Langfuse for AI/LLM observability
- AI workflow tracing and telemetry
Expertise in AWS native observability tools, including:
- CloudWatch
- AWS X-Ray
- CloudTrail
- AWS monitoring and logging services
Experience working with MCP (Model Context Protocol) agent setups or multi-agent orchestration frameworks
Strong understanding of:
- Distributed systems observability
- Telemetry pipelines
- Logging, tracing, and metrics collection
Hands-on experience with Chaos Engineering practices
Expertise using AWS Fault Injection Simulator (FIS) for resilience and fault-tolerance testing
Knowledge of:
- Incident management and root cause analysis
- Reliability engineering and operational best practices
Familiarity with containerized and cloud-native environments (ECS/EKS/Kubernetes)
Experience with CI/CD pipelines and infrastructure automation
Strong scripting/programming skills in Python or similar languages
Strong analytical, troubleshooting, and problem-solving skills

Quick apply

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