DevOps Engineer, Infra

Binance

. Design, deploy and maintain backend infrastructure to ensure high availability, scalability and reliability of production systems .

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

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing cloud infrastructure on AWS and AliCloud, with a strong focus on CI/CD pipeline development, container orchestration using Kubernetes, and implementing infrastructure security best practices. Proficient in Python, Go, or Java, with hands-on experience in Kafka and Redis operations in large-scale production environments.

Highest-signal resume keywords

AWS Cloud ManagementKubernetes OrchestrationCI/CD Pipeline DevelopmentKafka OperationsInfrastructure Security Best Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Python ProgrammingGo ProgrammingJava ProgrammingSQL ProgrammingDocker ContainerizationKubernetes ManagementCI/CD ToolsTerraformAnsibleRedis Operations

Soft Skills

Problem-SolvingTeam CollaborationTroubleshooting

Tools & Technologies

GitHub ActionsAWSAliCloudGCPAzureAIOps SystemsDifyAgnoLangChain

Industry Keywords

Infrastructure AutomationOperational ExcellenceMonitoring SolutionsObservabilityProduction Systems

Tech Stack

Tools & technologies

AnsibleAWSAzureCloudDockerGoogle Cloud PlatformJavaKafkaKubernetesPythonRedisSQLTerraformGo

About the role

Key responsibilities & impact

Design, deploy and maintain backend infrastructure to ensure high availability, scalability and reliability of production systems
Manage cloud infrastructure on AWS and AliCloud, including performance optimization, cost management and operational excellence
Deploy, monitor and maintain Kubernetes clusters, distributed backend systems and supporting infrastructure services
Build and maintain CI/CD pipelines and infrastructure automation using GitHub Actions, Terraform and Ansible
Collaborate with software engineers to support backend service deployment, troubleshooting and production operations
Investigate production incidents, perform root cause analysis and implement preventive improvements
Implement infrastructure security best practices to ensure secure and reliable production environments
Develop internal DevOps platforms and automation tools to improve engineering productivity and operational efficiency
Implement monitoring, observability and alerting solutions to enhance service reliability
Research and integrate AI technologies into infrastructure operations, including intelligent alert analysis, ChatOps and operational automation

Requirements

What you’ll need

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

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
Tackle unique, fast-paced projects with autonomy in an innovative environment
Results-driven workplace