Responsibilities:
• Hands on implementor – in test automation, performance testing, functional automation, test data management. As well as infrastructure automation
• Collaborate with test automation engineers, exemplifying technical expertise and fostering a culture of excellence through knowledge sharing and mentorship.
• Participate in technical design reviews and code quality processes focused on reliability, security, and testability.
• Participate in SRE practices like chaos engineering, progressive rollout, and DevOps collaboration to bolster resilience.
• Work on monitoring, logging, and alerting to provide end-to-end observability.
• Shape performance and scalability via load testing
• Develop playbooks for incident response, disaster recovery, and post-mortem analyses.
• Use test automation frameworks, harnesses, and CI/CD integration for comprehensive test coverage.
• Be a part of on-call support for critical production systems on a rotating basis.
• Continuously improve SRE and test automation through emerging technologies and methodologies.
• Manage test environments, data, and infrastructure to enable comprehensive testing.
Your background and experience:
• You have been working as a software engineer for 2+ years, in Test Automation, SRE or DevOps
• A track record of delivering complex technical solutions in fast-paced environments.
• Proven and enthusiastic Cloud/AWS Engineering technical experience
• Experience taking part in & leading code reviews, refactoring, gathering code quality metrics.
• Effective communication skills, both verbal and written, with strong relationship, collaborative, and organization skills.
• Deep, hands-in, understanding of AWS with hands-on ability in developing, deploying, and securing services, ideally in regulated environments.
• Experience in using code and scripts to provision, configure and manage the underlying infrastructure resources including servers, networks, databases and other components.
• Practitioner of automation/configuration management, deployment strategies (blue/green, canary, A/B testing, feature flags), and logging and monitoring practices for high availability.
Education:
Bachelor or Master’s Degree in Computer Science or equivalent
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