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浏览职位招聘观察购买与订阅
Thoughtworks logo
思特沃克
Senior Platform Engineer
立即应聘

Senior Platform Engineer

发布于 5 个月前

普通员工/个人贡献者

Lima, Brazil
高级经验
全职员工
远程工作
学历未注明
软件工程
CI/CD
微服务架构
GO

AI 估算 · 45k–75k

高级平台工程师岗位,技术栈前沿且复杂,涉及云原生、容器化及大规模系统架构,市场稀缺性高,薪资竞争力强。

职位详情

关于这个职位

作为高级平台工程师,你将负责设计、开发和优化支撑大规模软件交付的平台基础设施

你的核心目标是提升开发者体验,通过创建和改进工具、系统及流程来实现
你将与团队紧密合作,提供技术指导,并在自动化、安全性和可扩展性方面推广最佳实践

最低要求

技术技能:

精通编程和脚本语言(例如 Python, Go, 或 Bash)
深入掌握云平台(AWS, GCP, 或 Azure),包括无服务器和高级网络
深刻理解容器化(Docker, Kubernetes)及在 EKS 或 GKE 等平台上的编排
专家级使用可观测性工具,如 Prometheus, Grafana, Datadog, NewRelic 等
精通基础设施即代码(IaC)工具,如 Terraform 或 CloudFormation
具备实施符合最佳实践的安全、可扩展云基础设施的能力
在微服务架构、RESTful API 和 NoSQL 数据库方面有深厚专长
在 DevOps、CI/CD 和 GitOps 自动化实践方面有丰富经验
精通性能调优、成本优化和平台扩展
专业技能:
出色的沟通能力,能够影响技术和非技术利益相关者
在跨职能团队中具备经过验证的领导力和指导能力
强大的解决问题能力,专注于创新和可持续的解决方案
能够承担战略所有权并推动持续改进计划
熟练地以有充分理由的论证来呈现技术建议
高级英语水平
其他须知:
对于经验不足两年的候选人,请访问我们招聘网站上的毕业生和职业转换者页面

工作职责

工作职责:

领导可扩展且安全的平台基础设施的设计、实施和管理
架构和维护 CI/CD 流水线,确保自动化和快速反馈循环
确保平台满足高可用性、可靠性和性能标准
排查复杂的平台问题,进行根本原因分析并推动纠正措施
使用 Docker、Kubernetes 和编排工具管理和优化容器化环境
推动采用基础设施即代码(IaC)以实现可扩展的资源管理
领导改进整个组织的 DevOps 和 GitOps 实践的举措
指导和为初级工程师及团队成员提供技术指导
提出并执行平台优化策略,平衡成本与性能

AI 洞察

优缺点分析

优点

  • Work with cutting-edge technologies (cloud-native, Kubernetes, IaC) at a global tech consultancy, gaining highly transferable and in-demand skills.
  • Opportunity to significantly impact developer productivity and system reliability across multiple client projects, offering diverse challenges.
  • Strong emphasis on mentorship, continuous learning, and a supportive cultivation culture, as highlighted in the company description.
  • Remote work flexibility (#LI-Remote) and the chance to be part of a diverse, award-winning global team.
  • High responsibility for critical platform components, requiring on-call availability and the ability to troubleshoot complex, high-pressure production issues.
  • Need to constantly learn and adapt to new tools and client environments in a fast-paced consulting setting.
  • Balancing technical deep work with the 'soft' skills required for mentoring, cross-team collaboration, and influencing stakeholders.
  • This role is ideal for experienced engineers who enjoy solving large-scale infrastructure problems, mentoring others, and want to work at the intersection of technology and strategy within a collaborative, global environment.

缺点 / 挑战

暂无明显挑战项

角色解读

  • Technical Leadership Path: Progress to Principal or Staff Engineer roles, focusing on architectural strategy and platform-wide technical vision.
  • Management Path: Transition into engineering management roles, such as Engineering Manager or Director of Platform, leading teams and larger initiatives.
  • Specialist Path: Deepen expertise in areas like cloud security, SRE (Site Reliability Engineering), or developer tooling to become a domain expert.
  • Design, build, and optimize the core platform infrastructure that enables high-volume software delivery for development teams.
  • Architect and maintain automated CI/CD pipelines and container orchestration systems (like Kubernetes) to ensure efficient and reliable deployments.
  • Troubleshoot complex system issues, perform root cause analysis, and implement solutions to improve platform stability and performance.
  • Mentor junior engineers and collaborate across teams to establish and promote best practices in automation, security, and scalability.
  • Expert-level proficiency in cloud platforms (AWS/GCP/Azure), containerization (Docker/Kubernetes), and Infrastructure as Code tools like Terraform.
  • Deep experience in designing and managing CI/CD pipelines, observability stacks (Prometheus, Grafana), and microservices architectures.
  • Strong programming/scripting skills in languages like Python or Go, coupled with advanced knowledge of system performance tuning and cost optimization.
  • Exceptional leadership, communication, and problem-solving abilities to guide technical decisions and influence stakeholders.

申请策略

  • Research Thoughtworks' projects and public tech blog to understand their approach to technology and consulting, and tailor your application to reflect alignment with their culture of innovation and cultivation.
  • Even if you don't meet every single requirement, apply if you have core platform engineering experience, as the JD encourages applications from those who don't "tick all the boxes."
  • Quantify your impact: Highlight specific projects where you designed scalable systems, improved deployment frequency, reduced costs, or enhanced system reliability using metrics.
  • Showcase technical depth: Detail your hands-on experience with the key technologies listed (e.g., "Led migration of 50+ microservices to EKS using Terraform and GitOps").
  • Demonstrate leadership and influence: Include examples of mentoring junior engineers, driving adoption of new practices (DevOps/IaC), or presenting technical proposals to stakeholders.
  • If less familiar, gain practical experience with a major IaC tool (Terraform) and a container orchestration platform (EKS/GKE) through personal projects or online labs.
  • Brush up on system design principles for scalability and high availability, and be prepared to discuss past experiences troubleshooting complex distributed systems.
  • Practice articulating technical concepts clearly to both technical and non-technical audiences, as communication is a key professional skill required.

面试指南

  • Use the STAR method (Situation, Task, Action, Result) to structure behavioral answers, focusing on your specific actions and the measurable impact of your work.
  • For technical problems, explain your systematic troubleshooting approach: starting with observability data (metrics/logs), hypothesizing root causes, testing solutions, and implementing fixes with monitoring.
  • When discussing trade-offs (e.g., cost vs. performance), demonstrate a balanced, business-aware perspective that considers both technical excellence and practical constraints.
  • Walk us through a time you designed or significantly improved a CI/CD pipeline. What were the challenges and outcomes?
  • Describe how you would troubleshoot a sudden spike in latency or errors for a service running in a Kubernetes cluster.
  • How do you approach cost optimization for cloud infrastructure without compromising performance or reliability?
  • Tell us about a time you had to mentor a junior engineer or convince a team to adopt a new tool or practice (like IaC).
  • How do you balance implementing new, innovative solutions with maintaining the stability of a critical production platform?

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