Site Reliability Engineer ( Data & Algorithm )

We are seeking a highly skilled Site Reliability Engineer (SRE) to join our Data & Algorithm team, where you'll be pivotal in building and maintaining resilient, scalable, and high-performing systems. You will act as the bridge between development and operations—championing reliability, reducing operational toil, and driving excellence through observability, automation, and deep system-level expertise.

This is a hands-on, high-impact role for someone who thrives in a fast-paced, multitasking environment and has a strong foundation in infrastructure, automation, and modern cloud-native tools.
Key Responsibilities:

• Design and implement resilient and scalable system architectures to ensure high availability.
• Drive the adoption and monitoring of Service Level Objectives (SLOs) and Service Level Indicators (SLIs) for all critical services.
• Develop automation tools and scripts (Python & Bash) to reduce manual interventions and operational toil.
• Troubleshoot and resolve infrastructure and application issues, especially around Kubernetes, storage modules, and containerization.
• Collaborate closely with engineering, data, and DevOps teams to implement best practices for system reliability and incident management.
• Conduct root cause analysis and post-incident reviews, implementing improvements to prevent recurrence.
• Use tools like Grafana to monitor system health, derive insights, and tune performance curves effectively.
• Manage and maintain documentation for all systems, processes, and incident responses.
• Support and troubleshoot key-value and NoSQL databases, as well as Kafka or BMQ (forked Kafka) for data streaming.
• Handle multitasking under pressure, prioritize workloads, and maintain effective communication during high-stress scenarios.
• Translate and convert data formats (CSV, JSON, etc.) using scripting to support analytics and system configurations.

• Strong programming/scripting skills in Python and Bash.
• Deep understanding of Kubernetes internals, containerization, and troubleshooting at the infrastructure level.
• Experience in cloud platforms like AWS, GCP, or Azure.
• Solid background in Linux system administration and networking fundamentals.
• Proficient with tools like Git and VS Code.
• Hands-on experience with monitoring tools, especially Grafana.
• Familiarity with NoSQL databases and data streaming platforms (Kafka, BMQ).
• Strong grasp of SRE principles: SLOs, SLIs, SLA management, toil reduction, incident handling.
• Ability to multitask and thrive in high-pressure environments.