Platform Engineer
平台工程师负责设计，自动化，管理和优化支持软件实现的技术平台，环境和基础设施。该角色利用人工智能辅助的平台运营，自动化的功能，预测监控以及智能基础设施管理来提高可扩展性，一致性和操作可靠性。主要目的是确保整个实施生命周期中智能，自动，安全和可扩展的平台运行。关键责任：平台工程 ·设计实施环境 ·定义基础架构标准 ·规范平台配置标准 · 支持部署和运营准备性 AI-辅助平台操作 · 利用 AI-辅助环境配置 · 使用预测的运营监控 · 实施智能平台自动化 ·管理人工智能驱动的运营建议基础设施自动化 •开发基于人工智能的基础设施实践 · 自动化环境生命周期管理 ·标准化部署流程 ·提高运营一致性 ·确保平台安全遵守 ·监督平台性能 ·监控平台标准 ·管理平台弹性的战略 ·利用预测性能分析 ·利用人工智能驱动的监控工具 · 积极确定运营风险 · 优化平台性能 需要能力 平台专业知识 · 基础设施管理 · 云技术 · 平台架构 · 安全和合规性 · 绩效管理 平台智能 · AI 辅助操作 · 知识别监测 · 预测分析 · 基础架构自动化 · 运营治理工程实践 · 基础结构如代码 · 自动化框架 · 平台弹性的 ·持续改进 · 运行卓越成功措施 ·环境供应速度 · 平台可靠性 · 自动化的采用 · 基础建设一致性 ·运营效率 ·安全性遵守 ·客户部署成功 国际系统根据包括经验，教育，技能和绩效在内的各种因素提供了目前预期的基本工资范围的善意估计。其他补偿可能包括任意年度可变目标激励措施。该公司还为慷慨的员工提供了 b
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The Platform Engineer is responsible for designing, automating, governing, and optimizing the technical platforms, environments, and infrastructure supporting software implementations.
The role leverages AI-assisted platform operations, automation, predictive monitoring, and intelligent infrastructure management to improve scalability, consistency, and operational reliability.
Primary Purpose
To ensure intelligent, automated, secure, and scalable platform operations across the implementation lifecycle.
Key Responsibilities
Platform Engineering
- Design implementation environments
- Define infrastructure architecture standards
- Govern platform configuration standards
- Support deployment and operational readiness
AI-Assisted Platform Operations
- Leverage AI-assisted environment provisioning
- Utilize predictive operational monitoring
- Implement intelligent platform automation
- Govern AI-powered operational recommendations
Infrastructure Automation
- Develop Infrastructure-as-Code practices
- Automate environment lifecycle management
- Standardize deployment processes
- Improve operational consistency
Platform Governance
- Ensure platform security compliance
- Monitor operational performance
- Govern platform standards
- Manage platform resilience strategies
Operational Intelligence
- Utilize predictive performance analytics
- Leverage AI-powered monitoring tools
- Proactively identify operational risks
- Optimize platform performance
Required Competencies
Platform Expertise
- Infrastructure management
- Cloud technologies
- Platform architecture
- Security and compliance
- Performance management
Platform Intelligence
- AI-assisted operations
- Intelligent monitoring
- Predictive analytics
- Infrastructure automation
- Operational governance
Engineering Practices
- Infrastructure-as-Code
- Automation frameworks
- Platform resilience
- Continuous improvement
- Operational excellence
Success Measures
- Environment provisioning speed
- Platform reliability
- Automation adoption
- Infrastructure consistency
- Operational efficiency
- Security compliance
- Customer deployment success
InterSystems is providing a current good faith estimate of the anticipated base salary range for this position depending on a variety of factors including experience, education, skills, and performance.
Other compensation may include a discretionary annual variable target incentive.
The company also provides generous employee benefits including:
- Health Insurance
- Lunch Vouchers
The estimated base compensation range for this role is:
€42.000—€60.000 EUR
About InterSystems
InterSystems, a creative data technology provider, delivers a unified foundation for next-generation applications for healthcare, finance, manufacturing, and supply chain customers in more than 80 countries. Our data platforms solve interoperability, speed, and scalability problems for large organizations around the globe to unlock the power of data and allow people to perceive data in imaginative ways. Established in 1978, InterSystems is committed to excellence through its 24×7 support for customers and partners around the world. Privately held and headquartered in Boston, Massachusetts, InterSystems has 38 offices in 28 countries worldwide. For more information, please visit InterSystems.com.
AI Disclaimer
InterSystems may use AI tools for its internal operations including administrative tasks during recruitment (e.g., organizing candidate information). InterSystems’ approach to AI is guided by the InterSystems Responsible AI Guidelines. AI is not used to make or influence hiring decisions. All decisions are made by InterSystems employees.
Candidates may use AI for CV or interview preparation, provided materials are truthful and reflect their own experience. AI tools and third-party transcription services must not be used during interviews or assessments.
Please note that the use of wearable technology, including any AI-related tools or other technology-connected devices (such as META or Google smart glasses and/or wearables, and/or any similar devices), isstrictly prohibitedduring the interview and screening process with InterSystems. Any applicant who requires a wearable device or any type of technology support during the interview process as a reasonable accommodation under the ADA or applicable state or country laws and regulations must contact the InterSystems Human Resources Departmentprior to attending or participating in any interview or screening process.
Originally posted on Himalayas