Responsibilities:
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Develop, maintain, and manage automation tools to streamline operational tasks and boost engineering productivity.
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Automate continuous delivery pipelines and implement on-demand capacity management solutions.
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Design and deploy configuration and infrastructure solutions for internal applications.
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Troubleshoot, diagnose, and resolve software and system issues efficiently.
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Track, update, and resolve technical issues in a timely manner.
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Recommend architectural improvements and propose process enhancements.
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Evaluate emerging technologies and vendor products to support business objectives.
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Ensure the security and reliability of critical systems by applying industry best practices.
Requirements:
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Minimum of 7 years of technical experience in a similar role, supporting large-scale production systems.
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Hands-on experience with cloud platforms such as AWS and Google Cloud Platform (GCP).
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Strong understanding of Linux-based environments.
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Proven experience in large-scale, distributed systems.
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Proficient in programming languages such as Python, Go, or equivalent.
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Experience with infrastructure automation tools such as Docker, Ansible, Terraform, or similar technologies.
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Familiarity with Kafka and Elasticsearch is a plus.
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Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.