数据库工程师
Database Engineer
我们正在扩大自主数据库运维服务团队。这是一个为希望以根本不同的方式工作的优秀数据库工程师提供的职位。您不会手动调优查询或处理工单队列。相反,您的专业知识将直接塑造执行这些工作的自主系统——涵盖运行在AWS和Azure上的MS SQL Server、Oracle、MySQL、PostgreSQL和MariaDB环境。
您将负责系统如何解决事件,对决策质量负责,作为复杂事件的专家升级点,这些事件超出自主解决范围,并直接与客户合作处理战略数据库操作事项。随着时间推移,您将在所有支持的平台和云环境中加深自己的覆盖范围。
此职位以B2B合同形式在波兰提供,支持远程办公。
核心技能与经验
- 数据库专业知识。
- 在以下两个或更多平台上有扎实的商业经验:MS SQL Server、Oracle、MySQL、PostgreSQL、MariaDB——并有明确的意愿扩展到全部五个平台。
- 在生产环境中具有性能调优、查询优化、索引策略和容量管理的丰富经验。
- 对数据库安全、备份与恢复架构以及合规性要求有深入理解。
- 云数据库经验。
- 具有云托管数据库服务的实际经验——如Amazon RDS、Aurora或Azure SQL Database,并了解云原生环境中的操作实践与本地部署有何不同。
- 熟悉AWS或Azure平台基础:监控、警报、身份与访问管理,以及适用于数据库操作的基础设施即代码实践。
- 自动化思维。
- 具有自动化本能——您会优先选择脚本或流水线而不是手动修复,并且有消除重复操作工作的记录,而不仅仅是补充它。
- 能够阅读并适应现有的自动化流程,即使您之前没有从头设计过端到端的修复流水线。
- 运维判断力。
- 能够快速评估复杂的数据库情况,决定正确的行动方案,并在压力下清晰沟通。
- 在快速变化的环境中,能够应对模糊性和承担责任,因为客户环境各不相同,问题并不总是定义明确。
理想的资质
- 云
查看英文原文
We are growing the team behind our Autonomous Database Operations service. This is a role for a strong database engineer who wants to work in a fundamentally different way. You will not be manually tuning queries or working through a ticket queue. Instead, your expertise directly shapes the autonomous systems that do that work — across MS SQL Server, Oracle, MySQL, PostgreSQL, and MariaDB environments running on AWS and Azure.
You will govern how the system resolves incidents, own the quality of its decisions, act as the expert escalation point for complex episodes that fall outside autonomous resolution, and work directly with customers on strategic database operations matters. Over time, you will deepen your coverage across all supported platforms and cloud environments.
This role is offered in Poland on a B2B contract basis, with remote working.
Essential Skills & Experience
- Database expertise.
- Solid commercial experience across two or more of the following platforms: MS SQL Server, Oracle, MySQL, PostgreSQL, MariaDB — with a clear ambition to develop across all five.
- Strong experience with performance tuning, query optimisation, indexing strategies, and capacity management in production environments.
- Sound understanding of database security, backup and recovery architecture, and compliance requirements.
- Cloud database experience.
- Hands-on experience with cloud-managed database services — such as Amazon RDS, Aurora, or Azure SQL Database — and an understanding of how operational practice differs in cloud-native environments compared to on-premises installations.
- Familiarity with AWS or Azure platform fundamentals: monitoring, alerting, identity and access management, and infrastructure-as-code practices as they apply to database operations.
- Automation mindset.
- A demonstrated instinct for automation — you reach for a script or pipeline before a manual fix, and you have a track record of eliminating repetitive operational work rather than just supplementing it.
- Comfort reading and adapting existing automation, even if you have not previously designed end-to-end remediation pipelines from scratch.
- Operational judgment.
- The ability to assess a complex database situation quickly, decide on the right course of action, and communicate clearly under pressure.
- Comfort with ambiguity and ownership in a fast-moving environment where customer estates vary and problems are not always well-defined.
Desirable Qualifications
- Cloud database certifications — such as Microsoft Certified: Azure Database Administrator Associate, AWS Certified Database – Specialty, or equivalent — or demonstrated depth in lieu of formal certification.
- Experience in a customer-facing technical role within a managed service or platform company, rather than purely internal or project-based delivery.
- Familiarity with database observability tooling, event-driven architectures, or AIOps platforms where systems take autonomous action based on observed state.
- Exposure to AI or ML-assisted automation applied to IT operations, including evaluating automated decisions and improving them over time.
Job responsibilities
- Govern and improve autonomous resolution. Review how the system has resolved database incidents and maintenance requests, identify failure patterns, and continuously improve resolution logic, tuning policies, and governance guardrails. Translate customer compliance, data governance, and availability requirements into enforceable operational policy, ensuring automated actions remain within safe, auditable, and recoverable boundaries.
- Act as the expert escalation point. Assess complex or novel database episodes — performance crises, schema-level incidents, corruption events — that fall outside autonomous resolution, make fast and well-reasoned decisions, and feed those learnings back into the system. Know when to intervene and when to let automation proceed, and communicate that rationale clearly to both technical and non-technical stakeholders.
- Work directly with customers. Build trust in autonomous resolution with customer stakeholders, advise on how to get the most from the service across their database estate, and contribute to customer success on strategic database operations matters.
- Build and improve automated operations. Contribute to automated remediation workflows and self-healing database patterns that reduce manual intervention across customer environments.
Participate in an on-call rotation for complex episodes requiring human judgment outside standard business hours — the majority of incidents are handled autonomously, so genuine out-of-hours intervention is the exception rather than the rule.What we offer
- Competitive salary and benefits package.
- The opportunity to work on cutting-edge technology projects with major clients.
- A supportive, collaborative, and innovative work environment.
- Continuous professional development opportunities.
Originally posted on Himalayas