Position Title: Observability & Chaos Engineering Specialist
Experience: 7 - 10 years
Job Location: Remote
Work Mode: Remote
Time Zone/Shift: Starts at 12:30 PM IST
Requirements:
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 distribute 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:
Cloud Watch
AWS X-Ray
Cloud Trail
AWS Monitoring and logging services
- 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
- 7-9 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
Preferred / Nice-to-Have Skills
- Experience with:
- OpenTelemetry
- Grafana
- Prometheus
- ELK/OpenSearch stack
- Familiarity with:
- AI/LLM platforms and agentic architectures
- Event-driven and microservices-based systems
- Knowledge of:
- DevSecOps and cloud security monitoring
- Performance engineering and load testing
- AWS certifications preferred
- Experience working in highly regulated or enterprise-scale environments
About Us:
We are a global, cloud-native organization with a strong presence across North America and India, delivering innovative digital transformation solutions to clients across diverse industries such as Financial Services, Healthcare, Retail & E-commerce, Manufacturing, and Technology. Our strong client base includes Fortune 500 enterprises as well as high-growth mid-market and startup organizations, giving our teams exposure to a wide variety of business challenges and cutting-edge solutions.
Our technology practices are built around modern, future-ready capabilities including Cloud Engineering, Data & Analytics, AI/ML, Digital Experience Platforms, Application Modernization, and Enterprise Solutions such as SAP and other leading platforms. We follow a design thinking-led approach combined with agile and lean engineering practices to deliver scalable, high-impact solutions. Backed by globally recognized certifications such as ISO 27001, SOC 1, SOC 2, SOC 3, UK Cyber Essentials Plus, and CMMI Level 3, we ensure the highest standards of security, compliance, process maturity, and quality across all our engagements.
Why Join Us:
- Opportunity to work on global projects and Fortune 500 clients
- Exposure to cutting-edge technologies
- Strong learning, mentorship, and career growth programs
- Collaborative and innovation-driven work culture
If you are passionate about working on innovative technologies and want to be part of a fast-growing organization, we encourage you to apply and be part of our journey.
Company Details:
