Site Reliability Engineer

About the Company

A rapidly growing technology firm operating at the forefront of artificial intelligence and advanced software solutions. The company fosters a fast-paced, collaborative, and innovation-driven culture, uniting talent across engineering, research, and product teams to create impactful solutions. This role offers the opportunity to work on exciting projects, leverage cutting-edge technologies, and make a real difference in the AI and mobile development space.

Key Responsibilities

Cluster Operations & Management

• Manage and maintain container clusters (e.g., Kubernetes, Docker) and open-source component clusters (e.g., Kafka, Redis, Elasticsearch) across multiple environments and business units.
• Monitor and optimize distributed systems to ensure high performance, scalability, and reliability.

Infrastructure Platform Development

• Design, build, and improve infrastructure operations platforms.
• Develop and maintain solutions for infrastructure management, CI/CD pipelines, monitoring and alerting systems, and centralized logging.
• Lead platform standardization efforts and drive automation to streamline operations.

High Availability & Reliability

• Ensure maximum uptime for production services through proactive monitoring, rapid incident response, and root cause analysis.
• Continuously refine service architecture, deployment strategies, and operational processes for improved resilience.
• Implement and maintain SLA/SLO frameworks, applying reliability engineering best practices.

Automation & Process Improvement

• Develop automated systems for operations and maintenance to minimize manual intervention.
• Create self-service tools and workflows to boost team productivity.
• Define and enforce best practices for infrastructure-as-code, configuration management, and change control.

Required Qualifications

Experience & Education

• Minimum 2 years of hands-on experience in Systems Operations, DevOps, or Site Reliability Engineering (SRE).
• Bachelor’s degree in Computer Science, Engineering, or a related technical discipline preferred.

Cloud & Infrastructure

• Familiarity with public cloud platforms (AWS, Azure, or GCP) is highly valued.
• Strong understanding of large-scale internet architectures and distributed systems.
• Proven experience with infrastructure monitoring, logging, and observability tools.

Technical Skills

• Proficiency in scripting and automation (e.g., Shell, Python).
• Strong knowledge of containerization technologies (Kubernetes, Docker).
• Hands-on experience managing production-grade container clusters and maintaining CI/CD pipelines.
• Familiarity with infrastructure components such as Nginx, MySQL, Redis, Kafka, and Elasticsearch.

Advanced Networking (Preferred)

• Experience with Service Mesh architectures, Cilium CNI, and eBPF technologies.
• Understanding of network security, load balancing, and traffic management.
• Knowledge of cloud-native networking patterns and best practices.

If you’re ready to make an impact in a role that combines software development with cutting-edge AI, we encourage you to apply. Please note that only shortlisted candidates will be contacted.

CEI: 23S1921