Senior DevOps/Site Reliability Engineer

4 days ago

Singapore Selby Jennings Full time

Overview Our client is a global technology company at the forefront of digital innovation, serving billions of users worldwide through its suite of content, commerce, and cloud platforms. With a strong engineering culture and a commitment to solving complex infrastructure challenges at scale, the company empowers its teams to build resilient, efficient, and intelligent systems that support massive global operations. As part of its continued investment in infrastructure excellence, the company is expanding its Site Reliability Engineering (SRE) team to drive reliability, automation, and cost optimization across its cloud ecosystem. This is a high-impact role within the SRE team, focused on building and maintaining large-scale infrastructure systems across storage, computing, and databases. You\'ll work on reliability engineering, automation, cost optimization, and compliance — all while collaborating with system development teams to ensure scalable and efficient operations. The ideal candidate is a strong backend engineer with deep infrastructure knowledge, a passion for solving complex system-level problems, and experience working in high-availability environments. Key Responsibilities Ensure the reliability and efficiency of core infrastructure systems Troubleshoot technical issues and lead system architecture upgrades Build automated solutions for large-scale operations Design and implement monitoring frameworks and service-oriented architecture governance Optimize infrastructure cost through delivery standards and budgeting systems Contribute to compliance efforts, including data protection and new data center design Requirements Bachelor\'s or Master\'s degree in Computer Science or related field 5+ years of relevant experience in backend or infrastructure engineering Strong understanding of Linux OS, storage, and network I/O principles Proficiency in one or more programming languages: Python, Go, Java Solid grasp of design patterns and clean coding principles Preferred Experience Hands-on experience with storage systems: KV, Table, Graph, Redis, MySQL, MongoDB, MQ, Kafka Familiarity with computing and big data systems: Kubernetes, Docker, Spark, Flink, Service Mesh, RPC frameworks, AIops, and serverless architectures Note: Some extraneous vendor or job board boilerplate has been removed to focus on the core responsibilities and qualifications. Seniority level Mid-Senior level Employment type Full-time Job function Information Technology Industries Technology, Information and Internet #J-18808-Ljbffr

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