Senior Associate - Automated Reliability Test – (Development)

Job details

• Job Title: Automated Reliability Test Engineer (Chaos Engineering)
• Division: Technology / Platform Engineering / SRE
• Years of Experience: 3+ Years
• Education: Bachelor's/Master's in Computer Science, Electronics/Electrical Engineering, Data Science, or related technical field
• Employment Type: Full-time
• Location: Hyderabad
• Role Type: Permanent

Key responsibilities

• Design and implement automated reliability and resilience testing strategies.
• Develop test plans to simulate real-world system failures and identify weaknesses.
• Execute chaos engineering experiments covering network, hardware, and software faults.
• Utilize Linux as the core environment for debugging, testing, and infrastructure validation.
• Work with Docker and Kubernetes for containerized and orchestrated test environments.
• Build automation workflows using shell scripting and integrate them with testing frameworks.
• Implement fault injection scripts and techniques for controlled system disruption.
• Document failure modes and propose mitigation strategies to improve reliability.
• Collaborate with development, operations, and QA teams to align test execution with business needs.
• Communicate experiment results, impacts, and improvement recommendations to stakeholders.

Required Technical Skills

• Proficiency in Linux operating systems.
• Hands‑on experience with Docker and Kubernetes.
• Strong shell scripting capability (Bash, Shell).
• Experience in automated testing or automation workflows.
• Practical exposure to chaos tools or fault injection techniques.
• Familiarity with CI/CD tools (Jenkins, GitLab CI/CD).
• Experience with infrastructure automation tools such as Terraform or Ansible.

Key skills and experience required

• Strong understanding of reliability, resilience, and non‑functional testing concepts.
• Practical exposure to chaos engineering methodologies and failure simulation.
• Hands‑on experience in Linux‑based environments.
• Strong analytical and problem‑solving abilities for system behavior diagnosis.
• Ability to work cross‑functionally with DevOps, SRE, and development teams.
• Clear communication and documentation skills for experiment results and system insights.

Good to have skills and experience required

• Exposure to AI‑powered testing or automation tools.
• Experience with ML‑based system insights or anomaly detection.
• Background in Python scripting for automation.
• Understanding of performance testing or site reliability engineering (SRE) practices.
• Knowledge of distributed systems behavior under failure conditions.

Requirements

Required Technical Skills

• Proficiency in Linux operating systems.
• Hands‑on experience with Docker and Kubernetes.
• Strong shell scripting capability (Bash, Shell).
• Experience in automated testing or automation workflows.
• Practical exposure to chaos tools or fault injection techniques.
• Familiarity with CI/CD tools (Jenkins, GitLab CI/CD).
• Experience with infrastructure automation tools such as Terraform or Ansible.

Key skills and experience required

• Strong understanding of reliability, resilience, and non‑functional testing concepts.
• Practical exposure to chaos engineering methodologies and failure simulation.
• Hands‑on experience in Linux‑based environments.
• Strong analytical and problem‑solving abilities for system behavior diagnosis.
• Ability to work cross‑functionally with DevOps, SRE, and development teams.
• Clear communication and documentation skills for experiment results and system insights.

Benefits