
DevOps Engineer, Infra
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in Singapore.
• Design, implement, and uphold backend infrastructure to guarantee high availability, scalability, and reliability of production systems.
• Oversee cloud infrastructure on AWS and AliCloud, focusing on performance enhancement, cost management, and operational excellence.
• Deploy, monitor, and sustain Kubernetes clusters, distributed backend systems, and associated infrastructure services.
• Create and manage CI/CD pipelines and infrastructure automation utilizing GitHub Actions, Terraform, and Ansible.
• Work collaboratively with software engineers to facilitate backend service deployment, troubleshooting, and production operations.
• Investigate production incidents, conduct root cause analysis, and implement preventive enhancements.
• Apply infrastructure security best practices to ensure secure and dependable production environments.
• Develop internal DevOps platforms and automation tools aimed at boosting engineering productivity and operational efficiency.
• Establish monitoring, observability, and alerting solutions to improve service reliability.
• Explore and incorporate AI technologies into infrastructure operations, including intelligent alert analysis, ChatOps, and operational automation.
• Over 5 years of practical experience in Kafka and Redis operations within large-scale production settings, with the ability to collaborate with developers for code optimization.
• Proficient in Python, Go, or Java (at least one language) and SQL programming languages.
• Direct experience with containerization and orchestration technologies (Docker, Kubernetes).
• Significant experience with CI/CD tools such as GitHub Actions, Ansible, Terraform, etc.
• Minimum of 3 years of experience with the AWS cloud platform.
• Experience with GCP, Azure, or Ali Cloud is a plus.
• Exceptional problem-solving and troubleshooting abilities.
• Strong collaboration skills and the ability to develop partnerships with other teams and business units.
• Practical experience in building or managing AIOps systems (anomaly detection, alert correlation, automated healing, or RCA).
• Familiarity with LLM-based DevOps automation (e.g., developing chat-based ops assistants or AI-driven observability workflows).
• Experience in utilizing or integrating tools like Dify, Agno, or LangChain into operational workflows.
• Competitive salary and comprehensive company benefits.
• Flexible work-from-home arrangements (subject to the nature of the business team's work).
• Opportunities for career advancement and ongoing learning.
• Collaborate with top-tier talent in a user-focused global organization characterized by a flat structure.
• Engage in distinctive, fast-paced projects with autonomy in an innovative environment.
• Results-oriented workplace.
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