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Senior Site Reliability Engineer (Data Platform)

seniorremote20,500 PLNWarszawa, PLСкор 78/100сегодня
Аналитика рынка
📊 Backend: зарплаты и спрос на рынке
Стек
NoSQLMongoDBPythonGoJavaAutomation ToolsLinux / Unixcassandraclouddevopsgrafanajava
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Описание
On behalf of our client, a global leader in cloud and content delivery, we are seeking a highly skilled Site Reliability Engineer to join a critical team at the heart of their global infrastructure. This team is responsible for a massive data pipeline that collects telemetry from hundreds of thousands of servers and delivers this vital data to customers for analytics and reporting. This is a role for a true systems engineer who understands that reliability at this scale is fundamentally a data problem. We are not looking for a typical DevOps engineer. We need a deep-thinking SRE who is passionate about the reliability of large-scale data systems, observability, and solving complex problems at the intersection of software, network, and infrastructure. What You Will Do (Your Impact): Engineer World-Class Data Systems: Your core focus will be the reliability and performance of massive data platforms. You will work extensively with large-scale distributed databases to ensure data integrity, availability, and low-latency performance. While the environment heavily utilizes Cassandra and MongoDB, your expertise with other modern NoSQL or distributed data systems will be highly valued. Become the Ultimate Troubleshooter: You will be the highest technical escalation point for the most complex reliability and performance issues, leading investigations that span the entire global stack. Build Insightful Observability: You will design and build the observability fabric that allows us to understand the health of the platform in real-time, using tools like Prometheus and Grafana to create actionable insights, not just noise. Solve Problems with Code: You will write high-quality automation and internal tooling using Python, Go, or Java. Your code will streamline operations, automate diagnostics (increasingly with AI assistance), and empower other teams with self-service workflows. Drive Long-Term Reliability: You will partner closely with Engineering, Product, and Network teams to influence architecture, identify systemic weaknesses, and deliver scalable, long-term solutions that prevent future incidents. Who We're Looking For (Your Profile): You have deep, hands-on experience engineering and operating large-scale, distributed data systems. You are comfortable working with data at scale, analyzing metrics, and troubleshooting complex data integrity issues. Practical experience with modern NoSQL databases is essential. We have a strong preference for candidates who have worked with Cassandra or MongoDB, but we are open to experts in other similar technologies. You are a seasoned SRE or Systems/Infrastructure Engineer with at least 5 years of experience managing mission-critical distributed systems. You are a proficient programmer with experience building automation and tooling in languages like Python, Go, or Java. You have a strong foundation in Linux/Unix administration and low-level system troubleshooting. You have a relentless drive to find the root cause of complex problems and deliver robust, production-grade solutions.
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