DevOps Engineer, Cloud Infra

Binance

. Handle production incidents and conduct post-mortem analysis for system stability improvements .

Posted 9/18/2026full-timeRemote • SingaporeMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing and optimizing cloud infrastructure, particularly AWS and Alicloud, while leveraging AI frameworks for operational automation. Proficient in deploying and troubleshooting Kafka and Redis clusters, with a strong focus on CI/CD practices and collaboration with development teams.

Highest-signal resume keywords

Kafka OperationsRedis OperationsAWS Cloud PlatformCI/CD ToolsPython Programming

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonGoJavaSQLDockerKubernetesCI/CDAIOpsAnomaly DetectionRoot-Cause Analysis

Soft Skills

Problem-SolvingTeam Collaboration

Tools & Technologies

GitHub ActionsAnsibleTerraformOpenAIDifyAgnoLangChain

Industry Keywords

Cloud InfrastructureOperational AutomationProduction EnvironmentsDevOpsChange Management

Tech Stack

Tools & technologies

AnsibleAWSAzureCloudDockerGoogle Cloud PlatformJavaKafkaKubernetesPythonRedisSQLTerraformGo

About the role

Key responsibilities & impact

Handle production incidents and conduct post-mortem analysis for system stability improvements
Design, deploy, monitor, and troubleshoot Kafka and Redis clusters in production environments
Work closely with development teams to ensure seamless application and system deployments
Manage and optimize AWS and Alicloud infrastructure for performance, cost, and reliability
Develop DevOps platforms such as online load testing and change management systems
Leverage LLMs or AI frameworks including OpenAI, Dify, Agno, and LangChain to enhance infrastructure-operation automation
Implement intelligent alert triage, root-cause analysis, and chat-based operations
Integrate AI-driven insights into operational processes to improve reliability, reduce noise, and support engineering decision-making

Requirements

What you’ll need

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

Benefits

Comp & perks

Competitive salary and company benefits
Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)
Opportunities for career growth and continuous learning
Collaborate with world-class talent in a user-centric global organization with a flat structure
Innovative, results-driven work environment
Equal opportunity employer