DevOps Engineer

BINARY TECHNOLOGY DEVELOPMENT PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Binary Technology Development PTE. LTD. is seeking an experienced DevOps Engineer to strengthen production reliability and automate infrastructure.

You will manage Kafka and Redis deployments, design scalable cloud architectures on AWS, and collaborate with developers to streamline deployments. Familiarity with LLM-driven observability and AI tools is a plus.

Qualifications

• 5+ years of hands-on experience in Kafka and Redis operations in large-scale production environments.
• 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

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.

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