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āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
3 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Kubernetes, Automation, Redis
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Platform Operations: Manage and operate our Kubernetes platform, ensuring high availability, performance, and security.
- Automation & Tooling: Design, develop, and implement automation solutions for operational tasks, infrastructure provisioning, and application deployment.
- Observability: Build and maintain a comprehensive observability stack (monitoring, logging,tracing) to proactively identify and resolve issues.
- Platform Stability & Performance: Implement and maintain proactive measures to ensure platform stability, performance optimization, and capacity planning.
- Middleware Expertise: Provide support and expertise for critical middleware tools such as RabbitMQ, Redis, and Kafka, ensuring their optimal performance and reliability.
- Incident Response: Participate in our on-call rotation, troubleshoot and resolve production incidents efficiently, and implement preventative measures.
- Collaboration: Collaborate effectively with development and other engineering teams.
- Positive attitude and empathy for others.
- Passion for developing and maintaining reliable, scalable infrastructure.
- A minimum of 3 years working experience in relevant areas.
- Experience in managing and operating Kubernetes in a production environment.
- Experienced with cloud platforms like AWS or GCP.
- Experienced with high availability, high-scale, and performance systems.
- Understanding of cloud-native architectures.
- Experienced with DevSecOps practices.
- Strong scripting and automation skills using languages like Python, Bash, or Go.
- Proven experience in building and maintaining CI/CD pipelines (e.g., Jenkins, GitLab CI).
- Deep understanding of monitoring, logging, and tracing tools and techniques.
- Experience with infrastructure-as-code tools (e.g., Terraform, Ansible).
- Strong understanding of Linux systems administration and networking concepts.
- Experience working with middleware technologies like RabbitMQ, Redis, and Kafka.
- Excellent problem-solving and troubleshooting skills.
- Excellent communication and collaboration skills.
- Strong interest and ability to learn any new technical topic.
- Experience with container security best practices.
- Experience with chaos engineering principles and practices.
- Experience in the Financial Services industry.
- Opportunity to tackle challenging projects in a dynamic environment.
āļāļąāļāļĐāļ°:
Accounting, Excel, Power point
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļāļĢāļāļĩāļāļēāļĢāļāļĢāļ°āļāļāļĒāļāļāļāļąāļāļāļĩāļāļāļēāļāļēāļĢ.
- āļāļĢāļāļĩāļāļēāļĢāļāļąāļāļāļķāļāļĢāļēāļĒāļāļēāļĢāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļāļąāļāđāļāļīāļāļāļđāđ.
- āļāļāļāļ§āļāđāļĨāļ°āļāļĢāļąāļāļāļĢāļļāļāļĄāļđāļĨāļāđāļēāļĢāļēāļĒāļāļēāļĢāļāļēāļāļāļēāļĢāđāļāļīāļ
- āļāļąāļāļāļķāļāđāļĨāļ°āļĒāļ·āđāļāļ āļēāļĐāļĩāļŦāļąāļ āļ āļāļĩāđāļāđāļēāļĒ.
- āļāļĢāļāļĩāļāļēāļĢāļāļąāļāļāļķāļāđāļĨāļ°āļĒāļ·āđāļāļ āļēāļĐāļĩāļŦāļąāļ āļ āļāļĩāđāļāđāļēāļĒ āļĢāļ§āļĄāļāļķāļāļ āļēāļĐāļĩāļĄāļđāļĨāļāđāļēāđāļāļīāđāļĄ āļ .āļ.36.
- āļāļĢāļāļĩāļāļēāļĢāļāļāļŦāļāļąāļāļŠāļ·āļāļĢāļąāļāļĢāļāļāļāļēāļĢāđāļŠāļĩāļĒāļ āļēāļĐāļĩāļŦāļąāļ āļ āļāļĩāđāļāđāļēāļĒāđāļāđāļāļ āļēāļĐāļēāļāļąāļāļāļĪāļĐ.
- āļāļąāļāļāļķāļāđāļĨāļ°āļĒāļ·āđāļāļ āļēāļĐāļĩāļĄāļđāļĨāļāđāļēāđāļāļīāđāļĄ
- āļāļąāļāļāļķāļāļ āļēāļĐāļĩāđāļāļīāļāđāļāđāļāļīāļāļīāļāļļāļāļāļĨāļāļĢāļ°āļāļģāđāļāļ·āļāļ
- āļāļąāļāļāļķāļāđāļĨāļ°āļĒāļ·āđāļāļ āļēāļĐāļĩāļāļļāļĢāļāļīāļāđāļāļāļēāļ°
- āļāļīāļāļāļąāļāļāļĩāđāļĒāļāļāļĢāļ°āđāļ āļāđāļĨāļ°āļāļąāļāļāļĩāļēāļĒāļ§āļąāļ.
- āļāļĢāļāļĩāļāļēāļĢ Maintain Stat Key Figure āđāļĨāļ°āļāļēāļĢāļāļąāļāļŠāđāļ§āļāļāđāļēāđāļāđāļāđāļēāļĒ SG&A.
- āļāļąāļāļāļģāđāļĨāļ°āļāļģāļŠāđāļāļāļāļāļēāļĢāđāļāļīāļ āļĢāļ§āļĄāļāļąāđāļāļĢāļēāļĒāļĨāļ°āđāļāļĩāļĒāļāļāļĢāļ°āļāļāļāļāļāļāļēāļĢāđāļāļīāļ āļāļĢāļāļĩāļāļēāļĢāļāļąāļāļāļģāļŦāļāļąāļāļŠāļ·āļāļĒāļ·āļāļĒāļąāļāļāļēāļāļāļđāđāļŠāļāļāļāļąāļāļāļĩ (Auditor).
- āļ§āļļāļāļīāļāļēāļĢāļĻāļķāļāļĐāļēāļĢāļ°āļāļąāļāļāļĢāļīāļāļāļēāļāļĢāļĩāļŦāļĢāļ·āļāđāļ āļŠāļēāļāļēāļāļąāļāļāļĩ.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāđāļēāļāļāļąāļāļāļĩāļāļēāļĢāđāļāļīāļ 3-5 āļāļĩāļāļķāđāļāđāļ.
- āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāđāļĨāļ°āļāļąāļāļĐāļ°āđāļāļāļēāļĢāđāļāđāļāļēāļ MS Office (Word, Excel, Power Point).
- āļĄāļĩāļāļąāļāļĐāļ°āļāļēāļĢāđāļāđāļāļāļĄāļāļīāļ§āđāļāļāļĢāđ (āļāļēāļĢāļāļīāļĄāļāđāļāļēāļĄāļāđāļēāļĄāļēāļāļĢāļāļēāļ).
- āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāļāļ§āļēāļĄāđāļāđāļēāđāļāļāđāļēāļāļāļēāļĢāļāļąāļāļāļĩāđāļŦāđāđāļāđāļāđāļāļāļēāļĄāļŦāļĨāļąāļāļāļēāļĢāļāļąāļāļāļĩ āđāļĨāļ°āļĄāļēāļāļĢāļāļēāļāļāļēāļĢāļāļąāļāļāļĩāļāļĩāđāļĢāļąāļāļĢāļāļāļāļąāđāļ§āđāļ āđāļĨāļ°āļāļ§āļēāļĄāļĢāļđāđāļāļ§āļēāļĄāđāļāđāļēāđāļāļāļāļŦāļĄāļēāļĒāļ āļēāļĐāļĩāļāļēāļāļĢāđāļāđāļāļāļĒāđāļēāļāļāļĩ.
- āļĄāļĩāļāļ§āļēāļĄāļĢāļąāļāļāļīāļāļāļāļ āļāļ§āļēāļĄāđāļĄāđāļāļĒāļģ āļāļ§āļēāļĄāļĨāļ°āđāļāļĩāļĒāļāļĢāļāļāļāļāļ.
- āļĄāļĩāļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāđāļāļāļēāļĢāđāļāđāđāļĨāļ°āļŠāļ·āđāļāļŠāļēāļĢāļ āļēāļĐāļēāļāļąāļāļāļĪāļĐāđāļāļ·āđāļāļāļāđāļ.
- āļĄāļĩāļŠāļēāļĄāļēāļĢāļāļāļģāļāļēāļāļ āļēāļĒāđāļāđāļ āļēāļ§āļ°āđāļĢāđāļāļāđāļ§āļ āđāļĨāļ°āļ§āļēāļāđāļāļāļāļēāļĢāļāļģāļāļēāļāđāļāđāļāļĒāđāļēāļāļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļ.
- āļĄāļĩāđāļŦāļ§āļāļĢāļīāļāļāļāļīāļ āļēāļ āđāļāđāđāļāļāļąāļāļŦāļēāđāļāļāļēāļ°āļŦāļāđāļēāđāļāđāļāļĩ.
- āļŦāļēāļāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļēāļĢāļāļģāļāļēāļāđāļāļŠāļģāļāļąāļāļāļēāļāļāļąāļāļāļĩ āļŦāļĢāļ·āļ Audit āļāļ°āđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāđāļāđāļāļāļīāđāļĻāļĐ.
- āļāļīāļāļāđāļāļŠāļāļāļāļēāļĄ
- Email: [email protected]
- āļŠāļąāļāļāļąāļāļāļĢāļīāļĐāļąāļ āđāļāļĒāđāļāļ āđāļāļāđāļāļēāļāđāļāļīāđāļ āđāļāļāļāđ āļāļīāļŠāļāļīāđāļāļŠ āđāļāļāļĢāđāļ§āļīāļŠāđāļāļŠ āļāļģāļāļąāļ
- āļŠāļāļēāļāļāļĩāđāļāļāļīāļāļąāļāļīāļāļēāļ āļāļēāļāļēāļĢ CW Tower (āđāļāļĨāđ MRT āļĻāļđāļāļĒāđāļ§āļąāļāļāļāļĢāļĢāļĄ).
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļāļĢāļ°āļŠāļēāļāļāļēāļāđāļ Project āļāļĩāđāđāļāđāļĢāļąāļāļĄāļāļāļŦāļĄāļēāļĒ
- āļāļīāļāļāđāļāļāļĢāļ°āļŠāļēāļāļāļēāļāļāļąāļāļĨāļđāļāļāđāļēāļĢāđāļ§āļĄāļāļąāļāļāļĩāļĄāļāļēāļ
- āļāļąāļāļŦāļēāļāļĩāļĄāļāļēāļ āđāļĨāļ°āļāļīāļāļāđāļāļāļĢāļ°āļŠāļēāļāļāļēāļāļāļąāļ Supplier āļāđāļēāļ āđ āđāļāđāļ āļŠāļāļēāļāļāļĩāđ, āļĢāđāļēāļāļāđāļē āļŊāļĨāļŊ
- āļāļąāļāļāļģāđāļāđāļŠāļāļāļĢāļēāļāļē āđāļĨāļ°āđāļāļāļŠāļēāļĢāļāđāļēāļāđ āļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ
- āđāļāļĢāļĩāļĒāļĄāļāļ§āļēāļĄāļāļĢāđāļāļĄ āļāļ§āļāļāļļāļĄāļāļēāļĢāļāļīāļāļāļąāđāļāļāļēāļāđāļāļĢāļāļŠāļĢāđāļēāļ āđāļĨāļ°āļāļđāđāļĨāļŦāļāđāļēāļāļēāļ āđāļŦāđāļāļģāđāļāļīāļāđāļāļāļĒāđāļēāļāđāļĢāļĩāļĒāļāļĢāđāļāļĒ
- āļŠāļĢāļļāļāļāđāļēāđāļāđāļāđāļēāļĒ āđāļĨāļ°āļĢāļēāļĒāļāļēāļāļāļĨāļāļēāļĢāļāļģāđāļāļīāļāļāļēāļāļāļĩāđāđāļāļīāļāļāļķāđāļāļāļāļāđāļāđāļĨāļ° Project.
- Job Skills & Qualifications.
- āļāļļāļāđāļāļĻ āļāļēāļĒāļļ 23 āļāļĩāļāļķāđāļāđāļ
- āļāļĢāļīāļāļāļēāļāļĢāļĩ āļŠāļēāļāļēāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ
- āļĄāļĩāļāļ§āļēāļĄāļĨāļ°āđāļāļĩāļĒāļāļĢāļāļāļāļāļāđāļāļāļēāļĢāļāļģāđāļāļāļŠāļēāļĢ
- āļĄāļĩāļāļąāļāļĐāļ°āđāļāļāļēāļĢāļāļĢāļ°āļŠāļēāļāļāļēāļāđāļāđāļāļāļĒāđāļēāļāļāļĩ
- āļāļāļīāļāļąāļāļīāļŦāļāđāļēāļāļĩāđāđāļāļ āļēāļ§āļ°āļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāļāļāļąāļāļŠāļđāļāđāļāđāđāļāđāļāļāļĒāđāļēāļāļāļĩ
- āļĄāļĩāļāļąāļāļĐāļ°āļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļąāļāļāļēāļĢāļāļēāļ āļāļĢāļīāļŦāļēāļĢāļāļĩāļĄāļāļēāļ āļāļĢāļīāļŦāļēāļĢāđāļ§āļĨāļē āļāļĢāļīāļŦāļēāļĢāļāļāļāļĢāļ°āļĄāļēāļ
- āļĄāļĩāļāļ§āļēāļĄāļĢāļąāļāļāļīāļāļāļāļāļŠāļđāļ āļĄāļĩāļāļ§āļēāļĄāļāļĢāļ°āļāļ·āļāļĢāļ·āļāļĢāđāļ āļāļģāļāļēāļāļĢāļ§āļāđāļĢāđāļ§ āđāļĨāļ°āļĢāļąāļāļāļĩāđāļāļ°āđāļĢāļĩāļĒāļāļĢāļđāđāļŠāļīāđāļāđāļŦāļĄāđāđ
- āļŠāļēāļĄāļēāļĢāļāđāļāđāļāļāļĄāļāļīāļ§āđāļāļāļĢāđāđāļāļĢāđāļāļĢāļĄ MS-Office āđāļāđāļāļĩ ( Word/Ecxel /Powerpoint )
- āļŦāļēāļāđāļāļĒāļāđāļēāļāļāļēāļĢāļāļģāļāļēāļāļāļąāļāļāļĢāļīāļĐāļąāļāļŦāļĢāļ·āļāļāļķāļāļāļēāļāđāļāļĩāđāļĒāļ§āļāļąāļ Event Organizer āļāļ°āļāļīāļāļēāļĢāļāļēāđāļāđāļāļāļīāđāļĻāļĐ
- Office of Human Capital.
- THAI BEVERAGE PUBLIC COMPANY LIMITED.
- ThaiBev Quarter 62 Ratchadaphisek Rd., Klongtoey, Bangkok 10110, THAILAND.
āļāļąāļāļĐāļ°:
ETL, DevOps, Automation
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Data Pipeline Development: Design, implement, and optimize scalable ETL/ELT pipelines to ingest, transform, and store structured and unstructured data in a cloud environment (AWS is a core but not limit).
- Machine Learning Pipeline Development: Work collaboratively with data scientists to productionize and maintain scalable machine learning services. The solutions encompass a variety of approaches, including traditional and near real-time machine learning, deployed across multi-state service architectures.
- Data Platform: Collaborate closely with DevOps and infrastructure teams to design, implement, and manage scalable data storage and processing platforms. Leverage AWS services such as S3, Redshift, Glue, Lambda, Athena, and EMR to ensure performance, reliability, and cost-efficiency.
- Data Modeling and Schema Management: Develop and maintain robust data models and schemas to support analytics, reporting, and operational requirements. Adhere to the design principle of establishing a "single version of truth" to ensure consistency, accuracy, and reliability across all data-driven processes.
- Data/AI Quality-as-a-Service Development: Design, develop, and maintain scalable "Data/AI Quality-as-a-Service" solutions, adhering to zero-ops design principles. The scope of quality includes monitoring data drift, analyzing performance metrics, and detecting model drift to ensure consistent, reliable, and high-performing AI systems.
- Cross-Functional Collaboration: Collaborate closely with data scientists, analysts, and application developers to ensure the seamless integration of data solutions into workflows, enhancing functionality and enabling data-driven decision-making.
- Automation & Monitoring: Design and implement robust monitoring and automation frameworks to ensure the high availability, performance, and cost-efficiency of data workflows, guided by the principle of "Zero Ops by Design.".
- Compliance & Security: Uphold data security, privacy, and compliance with banking regulations and industry standards, ensuring all solutions meet rigorous governance requirements.
- Continuous Improvement: Stay informed about emerging technologies and trends in cloud data engineering, advocating for their adoption to enhance system capabilities and maintain a competitive edge.
- Educational BackgroundBachelor's degree in Computer Science, Computer Engineering, Data Engineering, or a related field.
- Experience3+ years of experience in cloud data engineering or similar roles.
- Proven expertise in cloud data technologies.
- Hands-on experience with big data technologies such as Apache Spark.
- Technical SkillsProficiency in SQL and programming languages such as Python, Java, or Scala.
- Expertise in data pipeline and workflow orchestration tools for both batch and real-time processing (e.g., Apache Airflow, AWS Step Functions).
- Understanding of data warehouse and lakehouse architectures.
- Familiarity with software development best practices, including SDLC concepts, CI/CD/(+CL) pipelines, and Infrastructure as Code tools (e.g., Terraform, AWS CloudFormation).
- Other SkillsStrong problem-solving and analytical thinking capabilities.
- Excellent communication and collaboration skills.
- Preferred QualificationsAWS Data Analytics - Specialty certification or equivalent experience.
- Experience in banking or fintech environments. Understanding of financial data and regulatory requirements.
- Familiarity with real-time data processing and stream analytics.
- Experience in working end-to-end with data scientists and analysts as part of "AnalyticsOps" to develop and maintain ML/AI services is a strong advantage.
- āļāđāļēāļāļŠāļēāļĄāļēāļĢāļāļāđāļēāļāđāļĨāļ°āļĻāļķāļāļĐāļēāļāđāļĒāļāļēāļĒāļāļ§āļēāļĄāđāļāđāļāļŠāđāļ§āļāļāļąāļ§āļāļāļāļāļāļēāļāļēāļĢāļāļĢāļļāļāđāļāļĒ āļāļģāļāļąāļ (āļĄāļŦāļēāļāļ) āļāļĩāđ https://krungthai.com/th/content/privacy-policy āļāļąāđāļāļāļĩāđ āļāļāļēāļāļēāļĢāđāļĄāđāļĄāļĩāđāļāļāļāļēāļŦāļĢāļ·āļāļāļ§āļēāļĄāļāļģāđāļāđāļāđāļāđ āļāļĩāđāļāļ°āļāļĢāļ°āļĄāļ§āļĨāļāļĨāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§ āļĢāļ§āļĄāļāļķāļāļāđāļāļĄāļđāļĨāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļĻāļēāļŠāļāļēāđāļĨāļ°/āļŦāļĢāļ·āļāļŦāļĄāļđāđāđāļĨāļŦāļīāļ āļāļķāđāļāļāļēāļāļāļĢāļēāļāļāļāļĒāļđāđāđāļāļŠāļģāđāļāļēāļāļąāļāļĢāļāļĢāļ°āļāļģāļāļąāļ§āļāļĢāļ°āļāļēāļāļāļāļāļāļāđāļēāļāđāļāđāļāļĒāđāļēāļāđāļ āļāļąāļāļāļąāđāļ āļāļĢāļļāļāļēāļāļĒāđāļēāļāļąāļāđāļŦāļĨāļāđāļāļāļŠāļēāļĢāđāļāđ āļĢāļ§āļĄāļāļķāļāļŠāļģāđāļāļēāļāļąāļāļĢāļāļĢāļ°āļāļģāļāļąāļ§āļāļĢāļ°āļāļēāļāļ āļŦāļĢāļ·āļāļāļĢāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§āļŦāļĢāļ·āļāļāđāļāļĄāļđāļĨāļāļ·āđāļāđāļ āļāļķāđāļāđāļĄāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļŦāļĢāļ·āļāđāļĄāđāļāļģāđāļāđāļāļŠāļģāļŦāļĢāļąāļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāđāļāļāļēāļĢāļŠāļĄāļąāļāļĢāļāļēāļāđāļ§āđāļāļāđāļ§āđāļāđāļāļāđ āļāļāļāļāļēāļāļāļĩāđ āļāļĢāļļāļāļēāļāļģāđāļāļīāļāļāļēāļĢāđāļŦāđāđāļāđāđāļāļ§āđāļēāđāļāđāļāļģāđāļāļīāļāļāļēāļĢāļĨāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§ (āļāđāļēāļĄāļĩ) āļāļāļāļāļēāļāđāļĢāļāļđāđāļĄāđāđāļĨāļ°āđāļāļāļŠāļēāļĢāļāļ·āđāļāđāļāļāđāļāļāļāļĩāđāļāļ°āļāļąāļāđāļŦāļĨāļāđāļāļāļŠāļēāļĢāļāļąāļāļāļĨāđāļēāļ§āđāļ§āđāļāļāđāļ§āđāļāđāļāļāđāđāļĨāđāļ§āļāđāļ§āļĒ āļāļąāđāļāļāļĩāđ āļāļāļēāļāļēāļĢāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāļāđāļāļāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāđāļēāļāđāļāļ·āđāļāļāļĢāļĢāļĨāļļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāđāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļĢāļąāļāļāļļāļāļāļĨāđāļāđāļēāļāļģāļāļēāļ āļŦāļĢāļ·āļāļāļēāļĢāļāļĢāļ§āļāļŠāļāļāļāļļāļāļŠāļĄāļāļąāļāļī āļĨāļąāļāļĐāļāļ°āļāđāļāļāļŦāđāļēāļĄ āļŦāļĢāļ·āļāļāļīāļāļēāļĢāļāļēāļāļ§āļēāļĄāđāļŦāļĄāļēāļ°āļŠāļĄāļāļāļāļāļļāļāļāļĨāļāļĩāđāļāļ°āđāļŦāđāļāļģāļĢāļāļāļģāđāļŦāļāđāļ āļāļķāđāļāļāļēāļĢāđāļŦāđāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļ·āđāļāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄ āđāļāđ āļŦāļĢāļ·āļāđāļāļīāļāđāļāļĒāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāđāļēāļāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāļŠāļģāļŦāļĢāļąāļāļāļēāļĢāđāļāđāļēāļāļģāļŠāļąāļāļāļēāđāļĨāļ°āļāļēāļĢāđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļāļēāļĄāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāļāļąāļāļāļĨāđāļēāļ§āļāđāļēāļāļāđāļ āđāļāļāļĢāļāļĩāļāļĩāđāļāđāļēāļāđāļĄāđāđāļŦāđāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļāļēāļĢāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄ āđāļāđ āļŦāļĢāļ·āļāđāļāļīāļāđāļāļĒāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄ āļŦāļĢāļ·āļāļĄāļĩāļāļēāļĢāļāļāļāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļ āļēāļĒāļŦāļĨāļąāļ āļāļāļēāļāļēāļĢāļāļēāļāđāļĄāđāļŠāļēāļĄāļēāļĢāļāļāļģāđāļāļīāļāļāļēāļĢāđāļāļ·āđāļāļāļĢāļĢāļĨāļļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāļāļąāļāļāļĨāđāļēāļ§āļāđāļēāļāļāđāļāđāļāđ āđāļĨāļ°āļāļēāļ āļāļģāđāļŦāđāļāđāļēāļāļŠāļđāļāđāļŠāļĩāļĒāđāļāļāļēāļŠāđāļāļāļēāļĢāđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļĢāļąāļāđāļāđāļēāļāļģāļāļēāļāļāļąāļāļāļāļēāļāļēāļĢ".
āļāļąāļāļĐāļ°:
Negotiation
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Bachelor degree or higher in Computer Science or related filed.
- There are 5-8 years, Experience on Premise and Cloud.
- Able to do Cloud design, evaluation, POC, implementation.
- Self-Motivation and Hard Working.
- Able to work some time on night and weekend by job duties.
- Able to troubleshooting related to Cloud Services problem.
- Willing to self-study for Cloud knowledge and learn new knowledge from team.
- Good communication,interpersonal, problem-solving, presentation, and negotiation skill.
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Work at Infinitas By Krungthai Co., Ltd.
- The Data Innovation Team at Infinitas by Krungthai is a centralized data enabler designed to serve both the digital and traditional arms of Krungthai Bank. We focus on providing cutting-edge data solutions, empowering teams with actionable insights, and driving business transformation. We are looking for an Analytics Engineer to join our team, focusing on automation, reporting, and DataOps. This key role will help streamline data pipelines, automate
- reporting workflows, and provide high-quality, data-driven insights to enhance decision- making.
- Our team responsibilities
- o Automation of Analytics Pipelines
- Develop and Maintain Automated Data Pipelines: Build and maintain robust data pipelines for reporting and analytics using cloud-native technologies such as AWS Glue, Redshift, and Lambda.
- Streamline Automation Frameworks: Ensure the high availability, performance, and cost-efficiency of data workflows by adhering to Zero Ops by Design principles, ensuring that data pipelines run seamlessly with minimal manual intervention.
- Timely, Accurate Reporting: Automate reporting processes to ensure consistent, accurate, and timely delivery of business insights.
- o Advanced Reporting & Analytics
- Reporting Systems Design & Optimization: Design, implement, and optimize reporting systems that deliver actionable insights to key business stakeholders.
- BI Tools & Dashboards: Use visualization tools such as Tableau, Grafana, and AWS Quick Sight to create dynamic, self-service dashboards and reports, empowering teams to make data-driven decisions.
- o Data Modeling and Schema Management
- Develop Robust Data Models & Schemas: Design and maintain data models and schemas that support analytics, reporting, and operational needs.
- Single Version of Truth: Ensure consistency, accuracy, and reliability by establishing a "single version of truth," providing a consistent data framework across the organization.
- o Quality-as-a-Service Development
- Build Scalable Quality Solutions: Design and maintain "Data/AI Quality-as-a-Service" solutions to monitor data drift, analyze performance metrics, and detect data issues early in the process.
- Zero-Ops Design for Quality Monitoring: Ensure the high availability and performance of quality solutions while aligning with zero-ops design principles, minimizing operational overhead.
- o Cross-Functional Collaboration
- Collaborate with Teams: Work closely with data scientists, analysts, and application developers to integrate data solutions seamlessly into their workflows, enabling advanced analytics and enhancing decision-making capabilities.
- o Compliance & Security
- Ensure Data Security & Compliance: Uphold data security and privacy standards while ensuring all solutions comply with banking regulations and industry governance requirements.
- Governance Standards: Maintain rigorous governance practices for data access, privacy, and security across all automated reporting systems.
- o Continuous Improvement
- Technology Advocacy: Stay informed about emerging trends in cloud data engineering, automation, and analytics. Advocate for the adoption of new technologies that can enhance system capabilities and maintain a competitive edge.
- Drive Continuous Improvement: Continuously refine processes and solutions to ensure they remain optimized for both performance and cost.
- Essential Skills & Experience
- o Bachelor's degree in Computer Science, Engineering, Business Information System or a related field.
- o 2+ years of experience in data engineering, automation, or analytics engineering, focusing on reporting and business intelligence in the financial or banking sector.
- o Expertise in cloud platforms (AWS preferred) and technologies such as AWSGlue, Redshift, Lambda, and S3.
- o Experience with BI/Visualization tools (e.g., Tableau, Grafana, AWS QuickSight).
- o Strong understanding of data modeling principles, ETL/ELT processes, and creating data schemas for reporting and analytics.
- o Proficiency in SQL, Python, or other relevant programming languages.
- o Familiarity with "Zero Ops by Design" principles and automation frameworks.
- Preferred Skills
- o Knowledge of financial regulations and their impact on data governance and reporting in the banking sector.
- o Experience in building and maintaining "Data/AI Quality-as-a-Service" solutions for monitoring and ensuring data quality.
- o Familiarity with DevOps practices and CI/CD pipelines for analytic engineering solutions.
- o Experience in setting up and maintaining high-performing, scalable reporting systems.
- o Understanding of advanced analytics and machine learning concepts.
- āļāđāļēāļāļŠāļēāļĄāļēāļĢāļāļāđāļēāļāđāļĨāļ°āļĻāļķāļāļĐāļēāļāđāļĒāļāļēāļĒāļāļ§āļēāļĄāđāļāđāļāļŠāđāļ§āļāļāļąāļ§āļāļāļāļāļāļēāļāļēāļĢāļāļĢāļļāļāđāļāļĒ āļāļģāļāļąāļ (āļĄāļŦāļēāļāļ) āļāļĩāđ https://krungthai.com/th/content/privacy-policy āļāļąāđāļāļāļĩāđ āļāļāļēāļāļēāļĢāđāļĄāđāļĄāļĩāđāļāļāļāļēāļŦāļĢāļ·āļāļāļ§āļēāļĄāļāļģāđāļāđāļāđāļāđ āļāļĩāđāļāļ°āļāļĢāļ°āļĄāļ§āļĨāļāļĨāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§ āļĢāļ§āļĄāļāļķāļāļāđāļāļĄāļđāļĨāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļĻāļēāļŠāļāļēāđāļĨāļ°/āļŦāļĢāļ·āļāļŦāļĄāļđāđāđāļĨāļŦāļīāļ āļāļķāđāļāļāļēāļāļāļĢāļēāļāļāļāļĒāļđāđāđāļāļŠāļģāđāļāļēāļāļąāļāļĢāļāļĢāļ°āļāļģāļāļąāļ§āļāļĢāļ°āļāļēāļāļāļāļāļāļāđāļēāļāđāļāđāļāļĒāđāļēāļāđāļ āļāļąāļāļāļąāđāļ āļāļĢāļļāļāļēāļāļĒāđāļēāļāļąāļāđāļŦāļĨāļāđāļāļāļŠāļēāļĢāđāļāđ āļĢāļ§āļĄāļāļķāļāļŠāļģāđāļāļēāļāļąāļāļĢāļāļĢāļ°āļāļģāļāļąāļ§āļāļĢāļ°āļāļēāļāļ āļŦāļĢāļ·āļāļāļĢāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§āļŦāļĢāļ·āļāļāđāļāļĄāļđāļĨāļāļ·āđāļāđāļ āļāļķāđāļāđāļĄāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļŦāļĢāļ·āļāđāļĄāđāļāļģāđāļāđāļāļŠāļģāļŦāļĢāļąāļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāđāļāļāļēāļĢāļŠāļĄāļąāļāļĢāļāļēāļāđāļ§āđāļāļāđāļ§āđāļāđāļāļāđ āļāļāļāļāļēāļāļāļĩāđ āļāļĢāļļāļāļēāļāļģāđāļāļīāļāļāļēāļĢāđāļŦāđāđāļāđāđāļāļ§āđāļēāđāļāđāļāļģāđāļāļīāļāļāļēāļĢāļĨāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§ (āļāđāļēāļĄāļĩ) āļāļāļāļāļēāļāđāļĢāļāļđāđāļĄāđāđāļĨāļ°āđāļāļāļŠāļēāļĢāļāļ·āđāļāđāļāļāđāļāļāļāļĩāđāļāļ°āļāļąāļāđāļŦāļĨāļāđāļāļāļŠāļēāļĢāļāļąāļāļāļĨāđāļēāļ§āđāļ§āđāļāļāđāļ§āđāļāđāļāļāđāđāļĨāđāļ§āļāđāļ§āļĒ āļāļąāđāļāļāļĩāđ āļāļāļēāļāļēāļĢāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāļāđāļāļāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāđāļēāļāđāļāļ·āđāļāļāļĢāļĢāļĨāļļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāđāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļĢāļąāļāļāļļāļāļāļĨāđāļāđāļēāļāļģāļāļēāļ āļŦāļĢāļ·āļāļāļēāļĢāļāļĢāļ§āļāļŠāļāļāļāļļāļāļŠāļĄāļāļąāļāļī āļĨāļąāļāļĐāļāļ°āļāđāļāļāļŦāđāļēāļĄ āļŦāļĢāļ·āļāļāļīāļāļēāļĢāļāļēāļāļ§āļēāļĄāđāļŦāļĄāļēāļ°āļŠāļĄāļāļāļāļāļļāļāļāļĨāļāļĩāđāļāļ°āđāļŦāđāļāļģāļĢāļāļāļģāđāļŦāļāđāļ āļāļķāđāļāļāļēāļĢāđāļŦāđāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļ·āđāļāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄ āđāļāđ āļŦāļĢāļ·āļāđāļāļīāļāđāļāļĒāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāđāļēāļāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāļŠāļģāļŦāļĢāļąāļāļāļēāļĢāđāļāđāļēāļāļģāļŠāļąāļāļāļēāđāļĨāļ°āļāļēāļĢāđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļāļēāļĄāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāļāļąāļāļāļĨāđāļēāļ§āļāđāļēāļāļāđāļ āđāļāļāļĢāļāļĩāļāļĩāđāļāđāļēāļāđāļĄāđāđāļŦāđāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļāļēāļĢāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄ āđāļāđ āļŦāļĢāļ·āļāđāļāļīāļāđāļāļĒāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄ āļŦāļĢāļ·āļāļĄāļĩāļāļēāļĢāļāļāļāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļ āļēāļĒāļŦāļĨāļąāļ āļāļāļēāļāļēāļĢāļāļēāļāđāļĄāđāļŠāļēāļĄāļēāļĢāļāļāļģāđāļāļīāļāļāļēāļĢāđāļāļ·āđāļāļāļĢāļĢāļĨāļļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāļāļąāļāļāļĨāđāļēāļ§āļāđāļēāļāļāđāļāđāļāđ āđāļĨāļ°āļāļēāļ āļāļģāđāļŦāđāļāđāļēāļāļŠāļđāļāđāļŠāļĩāļĒāđāļāļāļēāļŠāđāļāļāļēāļĢāđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļĢāļąāļāđāļāđāļēāļāļģāļāļēāļāļāļąāļāļāļāļēāļāļēāļĢ".
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
3 āļāļĩāļāļķāđāļāđāļ
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- We are seeking a dedicated Fixed Broadband Technical Support Engineer to join our team. This role is crucial in providing exceptional technical support and troubleshooting for our fixed broadband services. The ideal candidate will possess a strong understanding of network technologies, excellent customer service skills, and the ability to resolve technical issues efficiently.
- Provide 2nd Tier technical support to customers experiencing issues with fixed broadband Network & services.
- Diagnose and troubleshoot connectivity issues, including hardware, software, and network configuration problems.
- Monitor analyze and report network/service performance metrics, proactively identifying potential issues.
- Monitor analyze and report network/service performance metrics, proactively identifying potential issues.
- Collaborate with engineering and product teams to resolve complex technical problems and provide feedback for service improvements.
- Maintain detailed documentation of customer interactions, technical issues, and resolutions in the ticketing system.
- Stay updated on new technologies, products, and industry trends to enhance service quality and effectiveness.
- 24x7 standby in shift to support first line staffs.
- 0 - 3 Years Experiences in Telecomunication or IT Operation.
- Bachelor s degree in Computer Science, Information Technology, Telecommunications, or a related field (or equivalent experience).
- Excellent communication skills, both verbal and written, with an ability to explain technical concepts to non-technical users.
- Customer-oriented mindset with strong problem-solving skills.
- Ability to work independently and as part of a team in a fast-paced environment.
- Basic computer skills Excel,Word,Power point etc. is essential.
- Experience with various broadband technologies (FTTx,MPLS,VLL,VPN,Routing protocol) and associated equipment.
- Relevant certifications (e.g., CompTIA Network+, Cisco Certified Network Associate) are advantageous.
- Programming skills in python,shell script or php are advantageous.
- What happens once you apply?.
- Click Here to find all you need to know about what our typical hiring process looks like.
- We encourage you to consider applying to jobs where you might not meet all the criteria. We recognize that we all have transferrable skills, and we can support you with the skills that you need to develop.
- Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity and Affirmative Action employer, learn more.
- We are committed to providing reasonable accommodations to all individuals participating in the application and interview process. If you need assistance or to request an accommodation due to a disabilityplease reach out to Contact Us.
- We are proud to announce Ericsson Thailand have been again officially Great Place to Work Certified in 2023. Every year, more than 10,000 organizations from over 60 countries partner with the Great Place to Work Institute for assessment, benchmarking and planning actions to strengthen their workplace culture and this Certification acknowledges our employees value their employee experience and our workplace culture. .
- Primary country and city: Thailand (TH) || Bangkok.
- Job details: Automated Operations Engineer.
- Primary Recruiter: Sitthinon Charoenkitwayo.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
āđāļĄāđāļāļģāđāļāđāļāļāđāļāļāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļģāļāļēāļ
āļāļąāļāļĐāļ°:
Linux, CompTIA Security+, Network Administration, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Oversee power, cooling, and cabling; install, configure, and maintain servers, storage, and network hardware.
- Ensure 24/7 system availability through proactive monitoring, performing routine health checks on servers, storage systems, and networks.
- Diagnose and resolve server, network, and application performance issues; escalate critical incidents and ensure swift resolution.
- Implement security protocols (firewalls, access controls) and ensure compliance with industry standards and internal policies.
- Manage data backup processes and conduct disaster recovery tests to ensure business continuity.
- Execute hardware and software upgrades for servers, networks, and storage systems, and maintain thorough documentation of configurations and processes.
- Bachelor s degree in IT, Computer Science, or related field.
- Experience in data center operations, Linux, and Microsoft system administration.
- Familiarity with ServiceNow and network administration.
- Certifications like CCNA, CompTIA Network+, or relevant Microsoft certifications (e.g., MCSA) are preferred.
- Flexible to relocation.
- Good command in English (Minimum 750 TOEIC score).
- Goal-Oriented, Unity, Learning, Flexible.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
4 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Google Cloud Platform, DevOps, Python, Docker, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Design, implement, and manage cloud infrastructure using best practices.
- Monitor system performance and reliability; troubleshoot and resolve incidents promptly.
- Collaborate with development teams to ensure services are built with reliability and scalability in mind.
- Automate manual processes through scripting and development of tools.
- Implement and manage CI/CD pipelines to streamline deployment processes.
- Conduct capacity planning and performance tuning to optimize system efficiency.
- Develop and maintain documentation for system architecture, processes, and procedures.
- Participate in on-call rotations to respond to system alerts and outages.
- Foster a culture of reliability by driving initiatives around incident management, postmortems, and root cause analysis.
- Bachelor s degree in computer science, Engineering, or a related field.
- Proven experience in cloud platforms (AWS, Azure, GCP).
- Strong understanding of system architecture, networking, and security best practices.
- Proficiency in programming/scripting languages (Python, Go, Bash, etc.).
- Experience with containerization and orchestration tools (Docker, Kubernetes).
- Familiarity with monitoring and logging tools (Prometheus, Grafana, ELK stack).
- Experience with infrastructure as code tools (Terraform, CloudFormation).
- Knowledge of DevOps practices and methodologies.
- Familiarity with agile development processes.
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration skills.
- Flexible to relocation.
- Good command in English (Minimum 750 TOEIC score).
- Goal-Oriented, Unity, Learning, Flexible.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
3 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Big Data, Hive, SAS
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Design, implement, and maintain data analytics pipelines and processing systems.
- Experience of data modelling techniques and integration patterns.
- Write data transformation jobs through code.
- Analyze large datasets to extract insights and identify trends.
- Perform data management through data quality tests, monitoring, cataloging, and governance.
- Knowledge in data infrastructure ecosystem.
- Collaborate with cross-functional teams to identify opportunities to leverage data to drive business outcomes.
- Build data visualizations to communicate findings to stakeholders.
- A willingness to learn and find solutions to complex problems.
- Stay up-to-date with the latest developments in data analytics and science.
- Experience migrating from on-premise data stores to cloud solutions.
- Knowledge of system design and platform thinking to build sustainable solution.
- Practical experience with modern and traditional Big Data stacks (e.g BigQuery, Spark, Databricks, duckDB, Impala, Hive, etc).
- Experience working with data warehouse solutions ELT solutions, tools, and techniques (e.g. Airflow, dbt, SAS, Matillion, Nifi).
- Experience with agile software delivery and CI/CD processes.
- Bachelor's or Master's degree in computer science, statistics, engineering, or a related field.
- At least 3 years of experience in data analysis and modeling.
- Proficiency in Python, and SQL.
- Experience with data visualization tools such as Tableau, Grafana or similar.
- Familiarity with cloud computing platforms, such as GCP, AWS or Databricks.
- Strong problem-solving skills and the ability to work independently as well as collaboratively.
- This role offers a clear path to advance into machine learning and AI with data quality and management, providing opportunities to work on innovative projects and develop new skills in these exciting fields..
- Contact: [email protected] (K.Thipwimon).
- āļāđāļēāļāļŠāļēāļĄāļēāļĢāļāļāđāļēāļāđāļĨāļ°āļĻāļķāļāļĐāļēāļāđāļĒāļāļēāļĒāļāļ§āļēāļĄāđāļāđāļāļŠāđāļ§āļāļāļąāļ§āļāļāļāļāļāļēāļāļēāļĢāļāļĢāļļāļāđāļāļĒ āļāļģāļāļąāļ (āļĄāļŦāļēāļāļ) āļāļĩāđ https://krungthai.com/th/content/privacy-policy āļāļąāđāļāļāļĩāđ āļāļāļēāļāļēāļĢāđāļĄāđāļĄāļĩāđāļāļāļāļēāļŦāļĢāļ·āļāļāļ§āļēāļĄāļāļģāđāļāđāļāđāļāđ āļāļĩāđāļāļ°āļāļĢāļ°āļĄāļ§āļĨāļāļĨāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§ āļĢāļ§āļĄāļāļķāļāļāđāļāļĄāļđāļĨāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļĻāļēāļŠāļāļēāđāļĨāļ°/āļŦāļĢāļ·āļāļŦāļĄāļđāđāđāļĨāļŦāļīāļ āļāļķāđāļāļāļēāļāļāļĢāļēāļāļāļāļĒāļđāđāđāļāļŠāļģāđāļāļēāļāļąāļāļĢāļāļĢāļ°āļāļģāļāļąāļ§āļāļĢāļ°āļāļēāļāļāļāļāļāļāđāļēāļāđāļāđāļāļĒāđāļēāļāđāļ āļāļąāļāļāļąāđāļ āļāļĢāļļāļāļēāļāļĒāđāļēāļāļąāļāđāļŦāļĨāļāđāļāļāļŠāļēāļĢāđāļāđ āļĢāļ§āļĄāļāļķāļāļŠāļģāđāļāļēāļāļąāļāļĢāļāļĢāļ°āļāļģāļāļąāļ§āļāļĢāļ°āļāļēāļāļ āļŦāļĢāļ·āļāļāļĢāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§āļŦāļĢāļ·āļāļāđāļāļĄāļđāļĨāļāļ·āđāļāđāļ āļāļķāđāļāđāļĄāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļŦāļĢāļ·āļāđāļĄāđāļāļģāđāļāđāļāļŠāļģāļŦāļĢāļąāļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāđāļāļāļēāļĢāļŠāļĄāļąāļāļĢāļāļēāļāđāļ§āđāļāļāđāļ§āđāļāđāļāļāđ āļāļāļāļāļēāļāļāļĩāđ āļāļĢāļļāļāļēāļāļģāđāļāļīāļāļāļēāļĢāđāļŦāđāđāļāđāđāļāļ§āđāļēāđāļāđāļāļģāđāļāļīāļāļāļēāļĢāļĨāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§ (āļāđāļēāļĄāļĩ) āļāļāļāļāļēāļāđāļĢāļāļđāđāļĄāđāđāļĨāļ°āđāļāļāļŠāļēāļĢāļāļ·āđāļāđāļāļāđāļāļāļāļĩāđāļāļ°āļāļąāļāđāļŦāļĨāļāđāļāļāļŠāļēāļĢāļāļąāļāļāļĨāđāļēāļ§āđāļ§āđāļāļāđāļ§āđāļāđāļāļāđāđāļĨāđāļ§āļāđāļ§āļĒ āļāļąāđāļāļāļĩāđ āļāļāļēāļāļēāļĢāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāļāđāļāļāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāđāļēāļāđāļāļ·āđāļāļāļĢāļĢāļĨāļļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāđāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļĢāļąāļāļāļļāļāļāļĨāđāļāđāļēāļāļģāļāļēāļ āļŦāļĢāļ·āļāļāļēāļĢāļāļĢāļ§āļāļŠāļāļāļāļļāļāļŠāļĄāļāļąāļāļī āļĨāļąāļāļĐāļāļ°āļāđāļāļāļŦāđāļēāļĄ āļŦāļĢāļ·āļāļāļīāļāļēāļĢāļāļēāļāļ§āļēāļĄāđāļŦāļĄāļēāļ°āļŠāļĄāļāļāļāļāļļāļāļāļĨāļāļĩāđāļāļ°āđāļŦāđāļāļģāļĢāļāļāļģāđāļŦāļāđāļ āļāļķāđāļāļāļēāļĢāđāļŦāđāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļ·āđāļāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄ āđāļāđ āļŦāļĢāļ·āļāđāļāļīāļāđāļāļĒāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāđāļēāļāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāļŠāļģāļŦāļĢāļąāļāļāļēāļĢāđāļāđāļēāļāļģāļŠāļąāļāļāļēāđāļĨāļ°āļāļēāļĢāđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļāļēāļĄāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāļāļąāļāļāļĨāđāļēāļ§āļāđāļēāļāļāđāļ āđāļāļāļĢāļāļĩāļāļĩāđāļāđāļēāļāđāļĄāđāđāļŦāđāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļāļēāļĢāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄ āđāļāđ āļŦāļĢāļ·āļāđāļāļīāļāđāļāļĒāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄ āļŦāļĢāļ·āļāļĄāļĩāļāļēāļĢāļāļāļāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļ āļēāļĒāļŦāļĨāļąāļ āļāļāļēāļāļēāļĢāļāļēāļāđāļĄāđāļŠāļēāļĄāļēāļĢāļāļāļģāđāļāļīāļāļāļēāļĢāđāļāļ·āđāļāļāļĢāļĢāļĨāļļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāļāļąāļāļāļĨāđāļēāļ§āļāđāļēāļāļāđāļāđāļāđ āđāļĨāļ°āļāļēāļ āļāļģāđāļŦāđāļāđāļēāļāļŠāļđāļāđāļŠāļĩāļĒāđāļāļāļēāļŠāđāļāļāļēāļĢāđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļĢāļąāļāđāļāđāļēāļāļģāļāļēāļāļāļąāļāļāļāļēāļāļēāļĢ .
āļāļąāļāļĐāļ°:
Procurement
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Design & Develop solution to cover all required FBB & WIFI core network area and fulfill business and service requirement for Consumer, SME, Enterprise & FMC.
- Determine cost structure and propose best practice investment efficiency and control investment within assigned annual budget.
- Engage in exploration on new technology FBB & WIFI core network, data center and IT related system, which can lead to fulfill business requirements, evaluation and short listed for future procurement.
- Design and Develop network planning and operation tool to digitalize planning & operation process.
- Bachelor or higher degree in Computer, IT, or Telecom Engineering.
- At least 3-10 years experience in Mobile operator, Broadband network company especially in core network domain.
- Strong knowledge in Core Network (MPLS, BNG, DPI,CGN, DHCP, AAA) & IT System Infrastructure (Switch, Load Balance, Firewall/WAF, Server, Storage) Design/Planning.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
5 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Mechanical Engineering, Market Analysis, Data Analysis, Customer Relationship Management (CRM), English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Develop and implement robust sales plans based on detailed market analysis to drive conversions and achieve sales targets.
- Monitor and analyze sales data and market trends to adjust strategies as necessary.
- Identify and develop marketing opportunities, planning and executing innovative sales initiatives.
- Craft detailed customer profiles to tailor sales strategies effectively.
- Spearhead initiatives related to OSE projects, ensuring alignment with broader business goals.
- Expand product knowledge, focusing on innovative designs and market needs.
- Enhance product knowledge, especially on advanced designs like Flat Tube.
- Analyze market data and develop strategic market approaches.
- Include SWOT analysis, market capacity for Aluminum Fin Profiles, import trends, and key market players.
- Manage local and import data, including capacity for Evaporators, Heater Cores, and other relevant products.
- Provide insights on quality certifications and compliance standards.
- Foster and maintain strong relationships with clients, ensuring a superior customer experience.
- Prepare for and lead customer meetings, creating detailed reports and presentation materials to support business objectives.
- Support the expansion of the market presence both domestically and internationally.
- Apply engineering principles to manage and optimize logistics operations.
- Oversee the logistics flow from production to delivery, ensuring efficiency and cost-effectiveness.
- Collaborate with the logistics team to streamline processes, reduce bottlenecks, and enhance customer satisfaction.
- Bachelor s or Master s degree in Business Administration, Marketing, Engineering, or related field.
- Special consideration for candidates from the Faculty of Management Engineering.
- A minimum of 5 years of experience in a sales leadership role, preferably in the manufacturing or technical field.
- Strong leadership capabilities with experience managing cross-functional teams.
- Advanced analytical and strategic thinking skills, with a proven track record of enhancing sales performance.
- Excellent verbal and written communication skills, with proficiency in creating detailed reports and presentations.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
1 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
SAP, Oracle, ERP
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Understand business end-to-end processes such as P2P (Procure to Pay), O2C (Order to Cash), and business best practices in FSI (Financial Service Institution) such as Bank, Insurance, Digital Asset or AMC (Asset Management Company), and Retail.
- Understand the process of helpdesk support and enterprise software solutions such as SAP, Oracle, or Microsoft with the ability of analytical skills.
- Serve as a first-tier support with knowledge of applications and business processes by understanding issues and then.
- 1) search for the solution from a knowledge base or issue summary for repeated issues or.
- 2) reproduce and identify certain new errors and symptoms which have never been found before.
- 3) Escalate the pending issues to the upper level of support to find the root cause, workaround, and long-term solution for each case.
- 4) Follow up on all pending cases from the Oracle global support forum and local partner support team.
- Supporting the functional document preparation such as Functional Specification Document or application design and testing efforts for long-term expansion such as if it requires any customization of report/form/interfacing in the future then this role has a responsibility to prepare for specification document.
- Supporting a testing effort for the current configuration in case Oracle regular upgrades occur.
- Supporting a testing effort for new functionalities that the client would like to enable.
- Cooperate with the technical team in estimating efforts, developing plans/schedules, and performing tasks according to the plan.
- Bachelor s Degree or higher in Business Administration/Accountancy/Computer Science/Engineering/Information Technology or related fields.
- At least 1 year experience in Oracle Fusion Cloud Implementation or Support.
- At least 2 years experience in ERP or Supply Chain Management Software Implementation such as SAP, Oracle, or Microsoft.
- Working experiences in areas of Accounting, Finance, Inventory Management, Procurement, Order Management and Thailand Tax Localization.
- Skill/Knowledge: Application configuration, Application reporting tool development from.
- Oracle Fusion Cloud Service or Oracle E-Business Suite (EBS) or Oracle Netsuite.
- An understanding of software implementation life cycle with best practices.
- A desire to constantly learn and upskill your abilities.
- The ability to absorb new technical information and apply it effectively such as SQL statements.
- Able to deal with and handle difficult situations and work under time constraints.
- Proactive, self-motivated, systematic thinking, fast learner, and willing to contribute and work as a team.
- Positive attitude and empathy for others.
- Bonus Point: Experience in the Oracle Fusion Cloud.
āļāļąāļāļĐāļ°:
Automation, GraphQL, RESTful
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Design and develop the business logic and backend systems of the product.
- Work closely with frontend developers to design and develop functional, performing and complete APIs.
- Decipher existing companies software systems and be able to hook in application to applicable data sources.
- Write both unit and integration tests, and develop automation tools for daily tasks.
- Develop high quality, well documented, and efficient code.
- Challenge ideas and opinions to avoid pitfalls and inefficient solutions.
- You have experience as a backend engineer in common languages and frameworks, e.g., Node Js, ExpressJS, NestJS or any other JS framework.
- You have experience in AWS.
- You have experience in GraphQL.
- You have deep knowledge of object-oriented programing and engineering principles such as SOLID.
- You have significant experience writing and utilizing autonomous services-oriented restful API services and performance tuning largescale apps.
- You have experience with database systems, with knowledge of SQL and NoSQL stores, e.g., MySQL, MongoDB, Redis, Postgres.
- You are able to write effective unit, integration, and API tests. It is a plus if you experience integrating with JavaScript frameworks, such as React.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
āđāļĄāđāļāļģāđāļāđāļāļāđāļāļāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļģāļāļēāļ
āļāļąāļāļĐāļ°:
VMware, Kubernetes, Docker, UNIX, Linux, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ20,000 - āļŋ50,000, āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Take care of medium enterprise implementing infrastructure and services.
- Implementing and monitoring Cloud infrastructure system.
- Take care of VMware Products.
- Stand-by service as request.
- Master or Bachelor's Degree in Computer Science, Information Technology.
- Computer skills: Windows, UNIX, LINUX, Servers Skill, Network & Security Skills, and etc.
- Require Certificate of VMWare vSphere Install, Configure, Manage V5.1.
- Willing to participate in non-standard working time models (Willing to work on a flexible time including after office hours, holidays and weekend).
āļāļąāļāļĐāļ°:
Product Owner, Automation, node.js
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Build applications, ensuring that the code is high quality, well documented, efficient, and follows the latest coding practices, modern design patterns, architectural principles and industry standards.
- Support product owner in defining future stories and tech lead in defining technical designs.
- Design and develop the business logic and backend systems of the MVP experience.
- Work closely with other developers and QAs to understand the system end-to-end.
- Write unit, integration tests and functional automation, and challenge ideas and opinions to avoid pitfalls and inefficient solutions.
- In the future, this role may evolve to include product support & QA responsibilities.
- You are experienced and highly performance in at least one backend and frontend framework, e.g., SpringBoot, node.js (or related frameworks e.g. hapi.js, express.js, metor.js), nest.js, ReactJS, ReactNative.
- You have experience in writing unit and acceptance tests, air programming, continuous integration, test-driven development, and incremental design.
- You have experience with code refactoring, design patters, design-driven development, continuous deployment, and highly scalable applications.
- You demonstrate experience in distributed and modular architectures e.g. microservices-based.
- You are excellent understanding of latest development technologies.
- You have high energy, strive towards cross-functional development in agile methodologies, inspire teammates to reach their maximum potential, embrace a culture of trust and complete transparency, promotes free thought, brave, rebellious, and willing to challenge status quo.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
āđāļĄāđāļāļģāđāļāđāļāļāđāļāļāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļģāļāļēāļ
āļāļąāļāļĐāļ°:
Windows Server, Microsoft Office, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ16,000 - āļŋ20,000, āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Install & Pre-install legacy and enterprise computer systems and their peripherals.
- Take calls from customers, deliver on-site support services and initiate the right response.
- Maintain & Service on legacy and enterprise computer systems and their peripherals.
- Perform PM as schedule.
- Stand-by service as request.
- Ability to work with multiple jobs.
- Able to work under time pressure./ able to work under pressure.
- Driving your own car.
- Bachelor's degree in Computer Engineering, Electronics, Electrical Engineer or related field.
- Male only.
- 0 - 3 years experience in computer field or related work.
- Computer skills: Window, Server, Storage, Basic Network, Microsoft Office and etc.
- Willing to participate in non-standard working time models (Willing to work on a flexible time including after office hours, holidays and weekend.
āļāļąāļāļĐāļ°:
GraphQL, RESTful, Automation
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Using agile engineering practices and modern development technologies, you ll transform the design into a user-friendly product, giving feedback and suggesting trade-offs when required.
- You ll design and develop the guts and logic of the front-end systems of our product.
- You ll decipher existing software systems and be able to link our application to applicable data sources both internal and external.
- You are experienced in building modern JavaScript-based applications in React Native.
- You have demonstrable experience with HTML, CSS/LESS/SCSS/etc., JavaScript, ES6+ and responsive design.
- Experience with nest.js, GraphQL and AWS.
- You have exposure to mobile development with native or web-to-native tooling and frameworks.
- You understand distributed architecture and usage of RESTful APIs and how to use them in practice.
- You are able to write effective unit, integration, and end-user automation tests.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
3 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
DevOps, Software Development, Jenkins
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Building and maintaining the CI/CD platform (CI/CD Tools, CI/CD pipeline workflow,etc.).
- Collaborates with Development and Operations teams for improvement CI/CD standards.
- Partner with development teams to ensure applications are designed with scale, resilience, and performance in mind.
- Participates in architecture and software development activities.
- Participates in incident triage and helps in relevant issue troubleshooting.
- Uses coding languages or scripting methodologies to solve a problem or support workflow.
- Implement DevSecOps concept to software development life cycle by CI/CD workflow.
- Pitching ideas for projects based on gaps in the market and technological advancements.
- Knowledge sharing with development and operations teams about tools or platforms that are developed by DevOps team.
- A minimum of 3 years working experience in relevant areas.
- Prior experience at all phases of the software development life cycle.
- Experience administering and deploying development CI/CD tools such as Helm, Jenkins, Ansible, Terraform, Git, Nexus etc.
- Strong knowledge and technical skills of DevOps and SRE using modern softwares (ArgoCD, Hashicorp vault, Cert Manager, etc.).
- Significant experience with Linux operating system environments.
- Demonstrated experience using a wide variety of coding languages such as Java, ReactJS, AngularJS, NodeJS, Python, Bash Script, Golang, etc.
- Experience in managing and implementing observability tools such as Opensearch, Logstash, ELK Stack, Prometheus, Thanos, Grafana OpenTelemetry Jaeger, etc.
- Expertise in containerization, kubernetes, cloud and virtualization platforms (Docker, CRI-O, AWS, GCP, EKS, Openshift, VMWare, etc.).
- Experience with high availability, high-scale, and performance systems.
- Comfortable working, creatively and analytically in a problem-solving environment, good communication, collaborative, and interpersonal skills.
- Strong interest and ability to learn any new technical topic.
- A positive, can-do attitude, who naturally expresses a high degree of empathy to others.
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļĻāļķāļāļĐāļē āļ§āļīāđāļāļĢāļēāļ°āļŦāđ āļ§āļēāļāđāļāļ āļāļ§āļāļāļļāļĄ āļāļĢāļīāļŦāļēāļĢāļāļēāļ āđāļĨāļ°āļāļīāļāļāļēāļĄāļāļēāļāļāđāļāļĄāļāļģāļĢāļļāļ āđāļāļ·āđāļāđāļŦāđāļŠāļāļēāļāļĩāļāļĢāļīāļāļēāļĢāļāđāļģāļĄāļąāļ āđāļĨāļ°āļĨāļđāļāļāđāļēāļāļļāļāļŠāļēāļŦāļāļĢāļĢāļĄ āļāļģāļāļēāļāđāļāđāļāļĒāđāļēāļāļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļ āđāļĄāđāļāļĢāļ°āļāļāļāđāļāļāļēāļĢāļāļēāļĒāļāļāļāļŠāļāļēāļāļĩāļāļĢāļīāļāļēāļĢ āđāļĨāļ°āļāļĢāļ°āļāļ§āļāļāļēāļĢāļāļĨāļīāļāļāļāļāļĨāļđāļāļāđāļēāļāļļāļāļŠāļēāļŦāļāļĢāļĢāļĄ āļāļģāļŦāļāļāļāļļāļāļŠāļĄāļāļąāļāļīāđāļĨāļ°āļāļĢāļ§āļāļŠāļāļāļāļļāļāļāļĢāļāđ āđāļŦāđāđāļāđāļāļļāļāļāļĢāļāđāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāđāļŦāļĄāļēāļ°āļŠāļĄāļāđāļāļāļēāļĢāđāļāđāļāļēāļ āļĢāļ§āļĄāļāļķāļāļāļāļāđāļāļāđāļĨāļ°āļāļģāđāļāļīāļāļāļēāļĢāđāļāļāđāļēāļāļ§āļīāļĻāļ§āļāļĢāļĢāļĄ āļāļēāļĄāļāļĩāđāđāļāđāļĢāļąāļāļĄāļāļāļŦāļĄāļēāļĒ āđāļāļ·āđāļāđāļŦāđāļāļēāļāļŠāļģāđāļĢāđāļāđāļĨāļ°āļāļđāļāļāđāļāļāļāļēāļĄāļāđāļāļāļģāļŦāļāļ āļāđāļāļāļāļŦāļĄāļēāļĒ āļŦāļĢāļ·āļāļĄāļēāļāļĢāļāļēāļāļāđāļēāļ āđ.
- āļāļ§āļāļāļļāļĄ āļāļīāļāļāļēāļĄāļāļēāļ āđāļĨāļ°āļāļ§āļāļāļļāļĄāļāđāļēāđāļāđāļāđāļēāļĒāđāļāļāļēāļĢāļāđāļāļĄ āļāļļāļāļāļĢāļāđ āđāļāļŠāļāļēāļāļĩāļāļĢāļīāļāļēāļĢāļāđāļģāļĄāļąāļ āđāļĨāļ°āļĨāļđāļāļāđāļēāļāļļāļāļŠāļēāļŦāļāļĢāļĢāļĄ.
- āļ§āļēāļāđāļāļāļāļēāļ āđāļāļĢāļĩāļĒāļĄāļāļēāļ āļāļģāđāļāļīāļāļāļēāļĢ āļāļ§āļāļāļļāļĄāļāļāļāļĢāļ°āļĄāļēāļ āļŠāļĢāļļāļāļāļēāļāļĢāļ§āļĄāļāļķāļ āļāļąāļāļāļģāļāđāļāļāļģāļŦāļāļāļāļēāļāđāļāļāļāļīāļ āļāļēāļāļāđāļēāļāđāļĨāļ°āļāļąāļāđāļāļĢāļĩāļĒāļĄāļ§āļąāļŠāļāļļāļāļļāļāļāļĢāļāđ āļŠāļģāļŦāļĢāļąāļāđāļāļĢāļāļāļēāļĢāļāđāļēāļ āđ āļāļĩāđāđāļāđāļĢāļąāļāļĄāļāļāļŦāļĄāļēāļĒ.
- āļ§āļēāļāđāļāļ āļāļąāļāļāļģāļĢāļēāļĒāļāļēāļāļāļĢāļ§āļāļŠāļāļ āļāļīāļāļāļēāļĄ āļāļĢāļąāļāļāļĢāļļāļ āļāļēāļāļāļģāļĢāļļāļāļĢāļąāļāļēāđāļāļīāļāļāđāļāļāļāļąāļ (PM) āļāļāļāļŠāļāļēāļāļĩāļāļĢāļīāļāļēāļĢāđāļĨāļ°āļĨāļđāļāļāđāļēāļāļļāļāļŠāļēāļŦāļāļĢāļĢāļĄ.
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđāļŦāļēāļŠāļēāđāļŦāļāļļāļāļēāļāļēāļĢāđāļŠāļĩāļĒāļāļāļāļāļļāļāļāļĢāļāđ āđāļĨāļ°āļŦāļēāđāļāļ§āļāļēāļāđāļāđāđāļāļāļĢāđāļāļĄāļāļīāļāļāļēāļĄāļāļĨāļāļēāļĢāđāļāđāđāļāļāļąāļāļŦāļē.
- āđāļŦāđāļāļģāđāļāļ°āļāļģ āļāļ§āļēāļĄāļĢāļđāđāđāļāļāļēāļĢāđāļāđāļāļļāļāļāļĢāļāđāļāđāļēāļ āđ āđāļāļŠāļāļēāļāļĩāļāļĢāļīāļāļēāļĢāđāļĨāļ°āļĨāļđāļāļāđāļēāļāļļāļāļŠāļēāļŦāļāļĢāļĢāļĄ.
- āļāļĢāļīāļāļāļēāļāļĢāļĩ āļāđāļēāļāļ§āļīāļĻāļ§āļāļĢāļĢāļĄāđāļāļāđāļē, āđāļĒāļāļē, āđāļāļĢāļ·āđāļāļāļāļĨ āļŦāļĢāļ·āļāļŠāļēāļāļēāļāļ·āđāļāđ.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđ 3-5 āļāļĩ āļāđāļēāļāļāļēāļāļāđāļāļĄāļāļģāļĢāļļāļ āļāļēāļāļāđāļāļŠāļĢāđāļēāļ āļāļĢāļīāļŦāļēāļĢāļāļēāļāđāļāļĢāļāļāļēāļĢ.
- āđāļāļĢāļāđāļāļĨāļĩāđāļĒāļŠāļ°āļŠāļĄāđāļĄāđāļāđāļģāļāļ§āđāļē 2.75.
- āļŠāļēāļĄāļēāļĢāļāđāļāļīāļāļāļēāļāđāļāļāļģāļāļēāļāļāđāļēāļāļāļąāļāļŦāļ§āļąāļāđāļāđ.
āļ§āļīāļĻāļ§āļāļĢ (āļĢāļ°āļāļąāļāļāļđāđāļāļĩāļĒāļĢāđ) - āļĢāļēāļĒāļĨāļ°āđāļāļĩāļĒāļāļāļēāļāļāļąāđāļ§āđāļāđāļĨāļ°āļŦāļāđāļēāļāļĩāđ
āļ āļēāļāļĢāļ§āļĄ:āļ§āļīāļĻāļ§āļāļĢāļĢāļļāđāļāđāļĒāļēāļ§āđāļĄāļĩāļŦāļāđāļēāļāļĩāđāļĢāļąāļāļāļīāļāļāļāļāđāļāļāļēāļĢāđāļŦāđāļāļēāļĢāļŠāļāļąāļāļŠāļāļļāļāļāđāļēāļāđāļāļāļāļīāļāđāļĨāļ°āļāļ§āļēāļĄāļāđāļ§āļĒāđāļŦāļĨāļ·āļāđāļāđāļ§āļīāļĻāļ§āļāļĢāļāļēāļ§āļļāđāļŠ āļāđāļāļāļĄāļĩāļāļ§āļēāļĄāđāļāđāļēāđāļāđāļāļ·āđāļāļāļāđāļāđāļāļĩāđāļĒāļ§āļāļąāļāļŦāļĨāļąāļāļāļēāļĢāļāļēāļāļ§āļīāļĻāļ§āļāļĢāļĢāļĄāđāļĨāļ°āļŠāļēāļĄāļēāļĢāļāļāļģāđāļāļāļĢāļ°āļĒāļļāļāļāđāđāļāđāđāļāļāļēāļĢāđāļāđāļāļąāļāļŦāļēāđāļāđ āļ§āļīāļĻāļ§āļāļĢāļĢāļļāđāļāđāļĒāļēāļ§āđāļĄāļĩāļŦāļāđāļēāļāļĩāđāļāđāļ§āļĒāļāļąāļāļāļēāđāļĨāļ°āļāļģāļĢāļļāļāļĢāļąāļāļĐāļēāļĢāļ°āļāļāđāļĨāļ°āļāļĢāļ°āļāļ§āļāļāļēāļĢāļāļēāļāļ§āļīāļĻāļ§āļāļĢāļĢāļĄ
āļāļ§āļēāļĄāļĢāļąāļāļāļīāļāļāļāļāļĢāđāļ§āļĄāļāļąāļ:
âĒ āļāļąāļāļāļēāđāļĨāļ°āļāļģāļĢāļļāļāļĢāļąāļāļĐāļēāļĢāļ°āļāļāđāļĨāļ°āļāļĢāļ°āļāļ§āļāļāļēāļĢāļāļēāļāļ§āļīāļĻāļ§āļāļĢāļĢāļĄ
âĒ āđāļŦāđāļāļēāļĢāļŠāļāļąāļāļŠāļāļļāļāļāđāļēāļāđāļāļāļāļīāļāđāļĨāļ°āļāļ§āļēāļĄāļāđāļ§āļĒāđāļŦāļĨāļ·āļāđāļāđāļ§āļīāļĻāļ§āļāļĢāļāļēāļ§āļļāđāļŠ
âĒ āļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāļąāļāļŦāļēāļāļēāļāļ§āļīāļĻāļ§āļāļĢāļĢāļĄāđāļĨāļ°āļāļąāļāļāļēāđāļāļ§āļāļēāļāđāļāđāđāļ
âĒ āļāļģāļāļēāļĢāļāļģāļāļ§āļāļāļēāļāļ§āļīāļĻāļ§āļāļĢāļĢāļĄāđāļĨāļ°āļāļēāļĢāļāļģāļĨāļāļ
âĒ āļāļģāđāļāļīāļāļāļēāļĢāļ§āļīāļāļąāļĒāđāļĨāļ°āļāļāļĨāļāļ
âĒ āļāļąāļāļāļģāļĢāļēāļĒāļāļēāļāļāļēāļāđāļāļāļāļīāļāđāļĨāļ°āļāļēāļāļāļģāđāļŠāļāļ
âĒ āđāļāđāļāļĢāļąāļāļĐāļēāļāļąāļāļāļķāļāļāļēāļāļ§āļīāļĻāļ§āļāļĢāļĢāļĄāđāļĨāļ°āđāļāļāļŠāļēāļĢāļāđāļēāļāđ
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