DevOps / SRE Test Bench Engineer

Key Responsibilities

• Design realistic, multi-service failure scenarios that require extensive investigation, root-cause analysis, and recovery.
• Build and configure test environments using Linux, Docker, Kubernetes, databases, message queues, and service dependencies.
• Develop broken infrastructure setups that simulate real-world production incidents and operational challenges.
• Write detailed reference solutions, troubleshooting guidance, and reliable automated verifiers with clearly defined success criteria.
• Validate task quality to ensure scenarios are fair, technically accurate, reproducible, and not solvable through a fixed runbook.
• Troubleshoot complex issues involving networking, storage, permissions, service configurations, replication, and system recovery.
• Develop setup scripts, automation utilities, and verification tests using Python or Bash.
• Accurately log working hours, communicate progress, and actively participate in the project’s WhatsApp community.
• Maintain the confidentiality of all project-related tasks, environments, and technical materials.
• Hands-on experience in DevOps, Site Reliability Engineering (SRE), platform engineering, infrastructure engineering, or a related technical role.
• Strong Linux administration and command-line skills, including SSH, shell scripting, process management, log analysis, file permissions, networking, and system services.
• Strong hands-on expertise in Docker and Kubernetes, including diagnosing container failures, broken deployments, service connectivity issues, and orchestration problems.
• Experience with databases and infrastructure components such as PostgreSQL, Redis, message queues, storage systems, replication, and recovery mechanisms.
• Proven ability to troubleshoot production-like environments involving multiple interdependent services.
• Familiarity with CI/CD pipelines, Infrastructure as Code (IaC), and cloud infrastructure.
• Ability to investigate ambiguous failures independently, identify root causes, and implement effective solutions without relying on predefined runbooks.
• A strong testing mindset, including experience designing automated checks, validation scripts, and deterministic verifiers.
• Proficiency in Python or Bash for environment setup, troubleshooting automation, and test development.
• Experience with cloud platforms such as AWS, Google Cloud Platform (GCP), or Microsoft Azure.
• Familiarity with Nginx, systemd, Logical Volume Manager (LVM), and Linux security hardening.
• Understanding of distributed systems, service dependencies, and fault recovery.
• Experience working with AI coding agents or AI-assisted software engineering tools.
• Complete the sign-up form to express your interest.
• Shortlisted candidates may be invited to complete a brief technical screening.
• Selected candidates will receive onboarding instructions and access to the project’s WhatsApp community.
• Compensation is hourly, based on approved and accurately logged working hours.
• All project tasks, technical materials, and related information must remain confidential and must not be shared outside the project.

Required Qualifications and Skills

Good-to-Have Skills

Engagement and Application Process

Qualifications

• Key Responsibilities
• Design realistic, multi-service failure scenarios that require extensive investigation, root-cause analysis, and recovery.
• Build and configure test environments using Linux, Docker, Kubernetes, databases, message queues, and service dependencies.
• Develop broken infrastructure setups that simulate real-world production incidents and operational challenges.
• Write detailed reference solutions, troubleshooting guidance, and reliable automated verifiers with clearly defined success criteria.
• Validate task quality to ensure scenarios are fair, technically accurate, reproducible, and not solvable through a fixed runbook.
• Troubleshoot complex issues involving networking, storage, permissions, service configurations, replication, and system recovery.
• Develop setup scripts, automation utilities, and verification tests using Python or Bash.
• Accurately log working hours, communicate progress, and actively participate in the project’s WhatsApp community.
• Maintain the confidentiality of all project-related tasks, environments, and technical materials.
• Required Qualifications and Skills
• Hands-on experience in DevOps, Site Reliability Engineering (SRE), platform engineering, infrastructure engineering, or a related technical role.
• Strong Linux administration and command-line skills, including SSH, shell scripting, process management, log analysis, file permissions, networking, and system services.
• Strong hands-on expertise in Docker and Kubernetes, including diagnosing container failures, broken deployments, service connectivity issues, and orchestration problems.
• Experience with databases and infrastructure components such as PostgreSQL, Redis, message queues, storage systems, replication, and recovery mechanisms.
• Proven ability to troubleshoot production-like environments involving multiple interdependent services.
• Familiarity with CI/CD pipelines, Infrastructure as Code (IaC), and cloud infrastructure.
• Ability to investigate ambiguous failures independently, identify root causes, and implement effective solutions without relying on predefined runbooks.
• A strong testing mindset, including experience designing automated checks, validation scripts, and deterministic verifiers.
• Proficiency in Python or Bash for environment setup, troubleshooting automation, and test development.
• Good-to-Have Skills
• Experience with cloud platforms such as AWS, Google Cloud Platform (GCP), or Microsoft Azure.
• Familiarity with Nginx, systemd, Logical Volume Manager (LVM), and Linux security hardening.
• Understanding of distributed systems, service dependencies, and fault recovery.
• Experience working with AI coding agents or AI-assisted software engineering tools.
• Engagement and Application Process
• Complete the sign-up form to express your interest.
• Shortlisted candidates may be invited to complete a brief technical screening.
• Selected candidates will receive onboarding instructions and access to the project’s WhatsApp community.
• Compensation is hourly, based on approved and accurately logged working hours.
• All project tasks, technical materials, and related information must remain confidential and must not be shared outside the project.