资深数据运维工程师
Sr Data Ops Engineer
关于公司
Coderio 为全球公司设计和交付可扩展的数字解决方案。我们结合强大的技术专长与产品思维，从头到尾领导复杂的软件项目。我们与国际客户合作，重视自主性和清晰沟通，并通过技术卓越建立长期合作关系。
🌍 更多信息: http://coderio.com
这是一个具有高影响力的工程技术岗位。我们正在寻找一位积极主动、适应能力强的数据运维工程师、技术负责人加入我们的快节奏环境。您将处于数据工程、云基础设施和DevOps的交汇点，这里需要对模糊性的高度容忍度以及对持续学习的热情。您的主要任务包括与客户互动以了解他们的需求，提取要求，并设计和提出可扩展的解决方案。您将负责在团队中解决开发解决方案的挑战，同时执行实际的技术工作以确保稳健的数据操作。
职位职责（What To Expect In This Role）
- 自动化与集成：开发Python组件、Terraform模块和流程，以集成和自动化各种工具和流程。
- API与系统编排：推动使用不同系统的API来提取和更新数据，触发和监控流程，并帮助将基础设施联系在一起。
- 云可靠性与运维：部署、维护和监督云基础设施，以确保其按照客户期望的性能和可靠性运行。
- 数据建模与文档：协助创建数据模型、技术文档和最佳实践，供我们的用户使用。
- DataOps最佳实践与创新：制定有关DevOps和DataOps的政策、流程和最佳实践。您还将帮助识别机会，生成创新解决方案，并改进现有产品功能。
任职要求
- 开发与脚本：精通Python和bash，SQL作为第二语言的流利程度。
- 数据生态系统与流程：深入了解数据库、数据仓库和数据湖，以及数据流程和流程改进的能力。
- 云与工具掌握：熟悉AWS环境，包括EC2、Lambda、IAM、SQS、RDS、Kinesis、Glue和EKS。还必须熟悉现代开发工具如Terraform、GitHub、Docker和dbt。
- 思维方式与工作风格：能够在...
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About Us
Coderio designs and delivers scalable digital solutions for global companies. We combine strong technical expertise with a product mindset to lead complex software initiatives end-to-end. We work with international clients, value autonomy and clear communication, and build long-term partnerships through technical excellence.
🌍 More information: http://coderio.com
This is a high-impact technical role. We are looking for a motivated and adaptive DataOps Engineer, Technical Referent to join our fast-paced environment. You will operate at the intersection of data engineering, cloud infrastructure, and DevOps, where a high tolerance for ambiguity and a passion for constant learning are essential. Your primary mission involves interacting with customers to understand their needs, extract requirements, and both design and propose scalable solutions. You will be responsible for tackling the challenge of working within a team to develop solutions, as well as executing hands-on technical work to ensure robust data operations.
What To Expect In This Role (Responsibilities)
- Automation & Integration: Develop Python components, Terraform modules, and pipelines to integrate and automate various tools and processes.
- API & System Orchestration: Promote the use of APIs from distinct systems to extract and update data, trigger and monitor processes, and help tie infrastructures together.
- Cloud Reliability & Operations: Deploy, maintain, and oversee cloud infrastructure to ensure it runs with the performance and reliability our customers expect.
- Data Modeling & Documentation: Help create Data Models, technical documents, and best practices for our users.
- DataOps Best Practices & Innovation: Develop policies, processes, and best practices regarding DevOps and DataOps. You will also help identify opportunities, generate innovative solutions, and improve existing product features.
Requirements
- Development & Scripting: Strong proficiency in Python and bash, and fluency in SQL as a second language.
- Data Ecosystems & Pipelines: Deep familiarity with databases, data warehouses, and data lakes, as well as being adept at data pipelines and process improvement.
- Cloud & Tooling Mastery: Strong knowledge of AWS environments, including EC2, Lambda, IAM, SQS, RDS, Kinesis, Glue, and EKS. Must also be familiar with modern development tools like Terraform, GitHub, Docker, and dbt.
- Mindset & Work Style: Ability to thrive in an environment with constant and quick iterations, consistently seeking out creative solutions to challenging problems. Must have strong attention to detail.
- Autonomy & Collaboration: Ability to work collaboratively while also being capable of owning a project with little guidance. Must be comfortable working in a diverse environment and non-hierarchical organizations.
- Customer-Facing Skills: Ability to interact directly with customers to understand needs, extract requirements, and propose technical solutions.
Nice to Have
- AWS associate or professional-level certifications, such as Solutions Architect, Developer, or DevOps Engineer.
Benefits
- High-impact, strategic role driving modern data infrastructure and automation.
- Collaborative international environment with senior technical leadership.
- High autonomy to design, propose, and implement cutting-edge DataOps solutions.
- Long-term engagement with competitive compensation and growth opportunities.
Why Join Coderio?
At Coderio, we value talent and technical excellence. We are passionate about modern engineering, high autonomy, and building solutions that make a real difference. We offer an inclusive and challenging environment where innovation is encouraged and technical leadership is valued. If you are eager to design and deploy next-generation data solutions that elevate engineering teams, apply now.