IN_Manager_ Technical Architect - Chaos Engineering _MS Engg_Advisory

Specialism

& Summary

Why PWC

s

We are seeking a highly skilled Architect/Lead with deep expertise in Chaos Engineering and Automated Root Cause Analysis (RCA) to drive the resilience, observability, and reliability strategy of our customers. You will be responsible for designing, implementing, and evangelizing chaos practices and automated diagnostics across diverse platforms, ensuring that customers applications and systems can withstand and recover gracefully from unexpected failures. Key experience requirements (must have) a) Demonstrable experience in preparing chaos engineering strategy, architecture and roadmap for clients. b) Demonstrable experience in implementing chaos engineering solutions for the clients c) Demonstrable experience in microservices development; demonstrable experience in programming using Python, C#, Java d) Demonstrable experience in cloud platforms monitoring, log analysis, DevOps Azure preferred e) Demonstrable experience on one chaos engineering tool Gremlin, Harness, etc. Key Responsibilities Define and own the Chaos Engineering strategy, architecture, and roadmap. Architect automated RCA systems leveraging observability platforms, AI/ML techniques, and event correlation tools. Develop resilience patterns and chaos experimentation frameworks integrated into the SDLC. Design and orchestrate controlled fault injection experiments to validate system robustness (e.g., latency injection, dependency failures, resource exhaustion). Evaluate and deploy Chaos Engineering tools (such as Harness, Gremlin, Chaos Mesh, LitmusChaos, Simian Army, etc.) tailored to cloudnative, hybrid, and legacy environments. Establish guardrails, blast radius controls, and automated rollback procedures for experiments. Architect solutions to automatically detect, triage, and pinpoint root causes for production incidents. Integrate logs, metrics, traces, and events across monitoring tools (Datadog, New Relic, Splunk, ELK, Prometheus) for correlation and insights. Develop or integrate ML models and rules engines to accelerate RCA and reduce MTTR.

Define policies, processes, and success criteria for chaos experiments and RCA automation. Create reusable playbooks, runbooks, and knowledge artifacts. Mentor engineering teams on resilience and reliability engineering. Partner with SRE, Platform Engineering, Application Development, and Security teams. Champion a culture of proactive failure testing and continuous improvement. Key Skills & Qualification Deep understanding of distributed systems, microservices, and cloudnative architectures (Kubernetes, Microsoft Azure). Strong knowledge of observability pillars (logging, monitoring, tracing). Handson experience with Azure Monitor, Azure Log Analytics, Azure Application Insights, Azure Sentinel, Azure Automation, Logic Apps, Azure Machine Learning, Azure Data Explorer Handson experience with Chaos Engineering tools and fault injection practices (Azure Chaos Studio, harness, Gremlin) Familiarity with AIOps and intelligent RCA frameworks. Proficiency in scripting/programming languages (Python, Go, Java). Experience automating experiments and RCA workflows via pipelines (GitHub, GitHub Actions, Azure DevOps). Strong analytical mindset for dissecting failures and correlating signals across multiple systems. Excellent communication and influencing skills. Proven ability to lead crossfunctional initiatives and drive cultural change.

Mandatory skill sets

Chaos Engineering and DevSecOps

Preferred skill sets

Site Reliability experience and Experience automating experiments and RCA workflows via pipelines (GitHub, GitHub Actions, Azure DevOps).

Years of experience required

810 Years

Education qualification

B.E./B.Tech

Education

Required Skills

Travel Requirements

Available for Work Visa Sponsorship