QA / Automation Engineer - Reliability & Validation Systems

Ciroos; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Ciroos is seeking a QA/Automation Engineer to define how reliability is validated across distributed systems in production-like environments. You will build automation that continuously tests, breaks, and verifies complex systems, while leading chaos engineering and incident analysis to prevent recurrence.

You will collaborate with SRE, platform, and backend teams to ensure observability, testing coverage, and scalable validation pipelines across AWS/Azure/GCP environments.

Qualifications

• Deep expertise in Kubernetes internals, multi-cluster systems, observability stacks and incident analysis.
• Hands-on experience with EKS, GKE and networking concepts (VPC, load balancers, IAM).
• Experience designing large-scale automation and validation systems for reliability.

Responsibilities

• Define and own the strategy for system-level validation.
• Design scalable automation frameworks for API, integration, and end-to-end testing in distributed systems.
• Build systems that detect failures before production.
• Drive chaos engineering and failure injection practices.
• Establish CI/CD reliability gates with strong validation coverage.
• Partner with SRE, platform, and backend teams to ensure observability and testability.
• Lead incident analysis to prevent recurrence and improve validation.
• Mentor engineers to raise reliability and quality.
• Work with Kubernetes-based distributed systems at scale and maintain observability pipelines.
• Develop AI-assisted incident investigation systems and multi-cloud deployment automation.

Skills

Kubernetes internals

EKS/GKE expertise

Observability & alerting

Chaos testing

Job description

We are looking for a QA/Automation Engineer who operates at the intersection of reliability engineering and system-level QA. You will define how reliability is validated, not just monitored. This includes building automation systems that continuously test, break, and verify complex distributed systems in production-like environments.

Responsibilities

• Define and own the strategy for system-level validation.
• Design and build scalable automation frameworks for API, integration, and end-to-end testing; Kubernetes and system-level validation; and regression and reliability pipelines.
• Build systems that proactively detect failures before they reach production.
• Drive chaos engineering and failure injection practices.
• Establish CI/CD reliability gates with strong validation coverage.
• Partner with SRE, platform, and backend teams to ensure systems are both observable and testable.
• Lead incident analysis with a focus on improving validation and preventing recurrence.
• Mentor engineers and raise the bar for system reliability and quality.
• Kubernetes-based distributed systems at scale.
• Observability and alerting pipelines.
• AI-assisted incident investigation systems.
• Multi-cloud (AWS, Azure, GCP) environments, networking deployments.
• Reliability validation, chaos testing, and failure injection systems.
• Infrastructure and deployment automation pipelines.

Requirements

• Deep Expertise In Kubernetes internals, debugging, and multi-cluster systems; distributed systems behavior and failure modes; observability stacks and alerting frameworks; production incident handling and root cause analysis.
• Strong Hands-on Experience With EKS, GKE, or managed Kubernetes platforms; networking concepts: VPC, load balancers, service communication, IAM, Chaos testing and reliability engineering practices, designing large-scale automation and validation systems.

Programming

• Strong coding skills in Python and Go (mandatory).
• Experience building automation frameworks and system-level tooling.
• Proficiency in Shell scripting and infrastructure automation.

What Makes This Role Different

• You are responsible for ensuring systems are provably reliable, not just operational.
• Deep QA and validation engineering.
• Focus on testing distributed systems, not just application features.
• Work on failure scenarios, not just happy paths.

This job was posted by Umesh Pratap Singh from Ciroos.