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DevOps Engineer - 36TY CONSULTANCY PTE. LTD.

DevOps Engineer - 36TY CONSULTANCY PTE. LTD.

36TY CONSULTANCY PTE. LTD.D25 Kranji, Woodgrove, Woodlands, SG
7 days ago
Job description

Roles & Responsibilities

Job Description & Requirements

We are seeking an experienced DevOps Engineer to join our dynamic team in Singapore. The ideal candidate will be responsible for designing, implementing, and maintaining our cloud infrastructure, CI / CD pipelines, and monitoring systems to ensure high availability, scalability, and security of our services.

Required Technical Skills

Core Programming & Frameworks :

  • Proficiency in Python with hands-on experience in FastAPI or Flask frameworks
  • Strong understanding of RESTful API development and microservices architecture

Containerization & Orchestration :

  • Extensive experience with Docker and Docker Compose
  • Container lifecycle management and optimization
  • Google Cloud Platform (GCP) Infrastructure :

  • Google Cloud Storage (GCS) automated backup solutions
  • Google Container Registry for private Docker repositories
  • Google Artifact Registry for private PyPI package management
  • Cloud IAM for access control and permission management
  • VPC Firewall Rules configuration and network security
  • Cloud Load Balancing and Cloud CDN setup
  • MySQL / PostgreSQL Database Administration :

  • Database performance monitoring and query optimization
  • Disk space management and storage optimization
  • Automated backup strategies and data archival / purging policies
  • Database maintenance and cleanup procedures
  • Logging & Observability :

  • Implementation of centralized logging solutions (ELK Stack, Cloud Logging)
  • Log aggregation, parsing, and visualization using tools like Grafana, Kibana, or Cloud Monitoring
  • Structured logging best practices
  • Monitoring & Alerting :

  • Performance monitoring setup using Prometheus, Grafana, or Cloud Monitoring
  • Application Performance Monitoring (APM) tools integration
  • Alert configuration and incident response automation
  • SLA / SLO monitoring and reporting
  • Message Queue Management :

  • Apache Kafka cluster setup, configuration, and maintenance
  • Topic management, partition optimization, and consumer group monitoring
  • Kafka Connect and Schema Registry management
  • CI / CD Pipeline :

  • Design and implementation of automated deployment pipelines
  • GitHub CI / CD integration and pipeline optimization
  • Automated testing integration and deployment strategies
  • Blue-green and canary deployment patterns
  • Network & Security :

  • Cloudflare Tunnel (cloudflared) configuration and management
  • SSH tunneling and secure remote access solutions
  • Nginx web server configuration and optimization
  • systemd service management and daemon configuration
  • Network troubleshooting and performance optimization
  • Preferred Additional Skills

    Container Orchestration :

  • Kubernetes (K8s) deployment and cluster management experience
  • Helm charts creation and management
  • Pod autoscaling and resource optimization
  • Task Management & Automation :

  • Python Celery for distributed task queue management
  • Cron job centralization and monitoring
  • Workflow orchestration tools experience
  • Data Analysis & Documentation :

  • Jupyter Notebook and pandas for data analysis and reporting
  • Data pipeline automation and ETL processes
  • Knowledge Management :

  • Experience creating and maintaining internal wikis or runbooks
  • Technical documentation and knowledge sharing platforms
  • GitBook, Confluence, or similar documentation tools
  • Additional Technical Areas :

  • Redis caching solutions
  • Cost optimization and resource management in cloud environments
  • Qualifications

  • Bachelor's degree in Computer Science, Engineering, or related field
  • 3+ years of experience in DevOps, Site Reliability Engineering, or related roles
  • Strong problem-solving skills and ability to work in a fast-paced environment
  • Excellent communication skills
  • Experience working in Agile / Scrum development environments
  • Tell employers what skills you have

    Confluence

    Scalability

    Kubernetes

    Data Analysis

    Pipelines

    High Availability

    Google Cloud Platform

    Knowledge Management

    Nginx

    Logging

    Python

    Containerization

    Google Cloud

    Docker

    Orchestration

    API

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    Engineer • D25 Kranji, Woodgrove, Woodlands, SG