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DevOps Engineer

5-7 Years
SGD 15,000 - 20,000 per month
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  • Posted 22 hours ago
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Job Description

Responsibilities:

  • Handle production incidents and post-mortem analysis for system stability improvement
  • Designing, deploying, monitoring, and troubleshooting Kafka and Redis clusters in PROD environment, ensuring optimal performance and reliability
  • Work closely with development teams to ensure seamless deployment of applications or systems
  • Manage and optimize cloud infrastructure (AWS, Alicloud) for performance, cost, and reliability
  • Develop Devops platform like online load test, change management system
  • Leverage LLMs or AI frameworks (OpenAI, Dify, Agno, LangChain) to enhance automation in infrastructure operations, including intelligent alert triage, RCA (Root Cause Analysis), and chat-based operations (ChatOps)
  • Continuously explore and integrate AI-driven insights into operational processes to improve reliability, reduce noise, and empower engineering teams with intelligent decision-making.

Qualifications:

  • 5+ years of hands-on experience in Kafka and Redis operations in large-scale production environments, be able to cooperate with developers to optimize code
  • Proficient in Python / Go / Java (at least one language) and SQL programming languages
  • Hands-on experience with containerization and orchestration (Docker, Kubernetes)
  • Strong experience with CI/CD tools such as GitHub Actions, Ansible, Terraform etc
  • At least 3 years of experience with AWS cloud platform. GCP, Azure, or Ali Cloud is a plus
  • Excellent problem-solving and troubleshooting skills
  • Strong team collaboration attitude and develop partnership with other teams and business
  • Practical experience building or operating AIOps systems (anomaly detection, alert correlation, automated healing, or RCA)
  • Familiarity with LLM-based DevOps automation (e.g., building chat-based ops assistants or AI-driven observability workflows)
  • Experience using or integrating tools like Dify, Agno, or LangChain into operational workflows

More Info

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Job ID: 147289571

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