平台工程师 & 云运维工程师
Platform Engineer & Cloud Ops Engineer
Sutherland 正在寻找一位可靠的人员加入我们，担任平台与云工程师。该职位将负责弥合 IT 运维与网络安全之间的差距，通过自动化、监控和主动防御持续保护基础设施和数据。
主要职责
平台架构与策略（侧重高级工程师）
· 领导复杂多云解决方案（GCP/AWS）的架构和部署，包括网络、计算、存储和多环境设计。
· 定义平台标准和可重用模式（例如 Terraform 模块、集群蓝图）。
· 评估新兴云技术以提升云战略和路线图。
· 推动成本优化和 FinOps 实践，包括资源合理配置和治理。
· 负责平台可靠性、可扩展性、容量规划和灾难恢复设计。
基础设施部署与自动化
· 在 GCP 和 AWS 上部署、配置和管理云基础设施。
· 编写和维护基础设施即代码（Terraform 为主；适用时使用 CloudFormation/ARM）。
· 保持多环境基础设施一致性（开发、预发布、生产）。
· 自动化部署、配置和操作任务以减少人工负担。
Kubernetes 与容器平台
· 设计、运营和支持生产级 Kubernetes 集群（优先 GKE）。
· 管理升级、自动扩展、节点池、命名空间和 RBAC 策略。
· 负责 Helm/Kustomize 标准用于应用部署。
· 支持或管理服务网格（Istio）用于流量管理、mTLS、可观测性和安全。
· 定义并推广安全且一致的应用部署黄金路径。
CI/CD、监控与运维支持
· 构建和维护 GitLab CI/CD 流水线用于基础设施和应用交付。
· 使用 Datadog 监控平台健康状况——指标、日志、追踪、SLO 和警报。
· 解决问题，支持事件响应，并领导事后回顾（高级）。
· 维护运行手册和仪表盘；主导或支持值班轮班。
领导力与协作（侧重高级工程师）
· 指导初级和中级工程师，设定技术方向并评审设计。
· 与全球、跨职能及在岸/离岸团队有效协作。
· 向技术和业务相关方清晰传达架构决策。
技术栈
必需：
· 云平台：GCP（Compute Engine、GKE、VPC、Storage、IAM、负载均衡），AWS（EC2、EKS、VPC、S3、IAM）
· Kubernetes：GKE 架构，升级
查看英文原文
Sutherland is seeking a reliable person to join us as Platform and Cloud Engineer will be responsible to bridges the gap between IT operations and cybersecurity, focusing on the continuous protection of infrastructure and data through automation, monitoring, and proactive defense.
KEY RESPONSIBILITIES
Platform Architecture & Strategy (Senior-focused)
· Lead the architecture and deployment of complex multi-cloud solutions (GCP/AWS), including networking, compute, storage, and multi-environment design.
· Define platform standards and reusable patterns (e.g., Terraform modules, cluster blueprints).
· Evaluate emerging cloud technologies to enhance cloud strategy and roadmap.
· Drive cost optimization and FinOps practices, including right-sizing and governance.
· Own platform reliability, scalability, capacity planning, and disaster recovery design.
Infrastructure Provisioning & Automation
· Deploy, configure, and manage cloud infrastructure across GCP and AWS.
· Write and maintain infrastructure as code (Terraform primary; CloudFormation/ARM where applicable).
· Maintain multi-environment infrastructure consistency (dev, staging, prod).
· Automate provisioning, configuration, and operational tasks to reduce manual toil.
Kubernetes & Container Platform
· Design, operate, and support production-grade Kubernetes clusters (GKE preferred).
· Manage upgrades, autoscaling, node pools, namespaces, and RBAC policies.
· Own Helm/Kustomize standards for application deployment.
· Support or manage service mesh (Istio) for traffic management, mTLS, observability, and security.
· Define and promote golden paths for safe and consistent app deployment.
CI/CD, Monitoring & Operational Support
· Build and maintain GitLab CI/CD pipelines for infrastructure and application delivery.
· Monitor platform health using Datadog — metrics, logs, traces, SLOs, and alerts.
· Troubleshoot issues, support incident response, and lead post-incident reviews (senior).
· Maintain runbooks and dashboards; lead or support on-call rotations.
Leadership & Collaboration (Senior-focused)
· Mentor junior and mid-level engineers, set technical direction, and review designs.
· Collaborate effectively with global, cross-functional, and on/offshore teams.
· Communicate architecture decisions clearly to technical and business stakeholders.
TECH STACK
Required:
· Cloud Platforms: GCP (Compute Engine, GKE, VPC, Storage, IAM, Load Balancing), AWS (EC2, EKS, VPC, S3, IAM)
· Kubernetes: GKE architecture, upgrades, Helm/Kustomize, autoscaling, RBAC
· Infrastructure as Code: Terraform (multi-environment, reusable modules, remote state)
· CI/CD: GitLab pipeline development and support
· Monitoring: Datadog (metrics, logs, traces, alerting, SLOs)
· Service Mesh: Istio (traffic management, mTLS, observability)
Good to have:
· GitOps tools (ArgoCD, Flux)
· Cloud FinOps tooling and cost optimization experience
· Scripting languages (Python, Go, Bash)
· Vault, Packer, service catalogs, and self-service platforms
· Experience in regulated environments (HIPAA, SOC 2, ISO 27001)
REQUIREMENTS
Must have:
· Platform Engineer: 3+ years in cloud infrastructure/platform or DevOps engineering.
· Senior Platform Engineer: 8+ years, with leadership or architect-level responsibilities.
· Deep, hands-on expertise with GCP and/or AWS cloud platforms.
· Strong Kubernetes production experience, preferably GKE.
· Expert-level Terraform skills with reusable modules and multi-env IaC.
· Proven CI/CD automation experience at scale.
· Ability to troubleshoot complex cloud environment issues.
· Collaborative teamwork mindset with clear communication skills.
Nice to have:
· Certifications: Google Professional Cloud Architect, AWS Solutions Architect Professional, Certified Kubernetes Administrator (CKA).
· Experience with GitOps and progressive delivery techniques.
· Prior FinOps or cloud cost optimization role experience.
· Scripting for automation and Linux system administration background.
HOW SUCCESS IS MEASURED
· Platform reliability: uptime and SLO achievement for shared services.
· Automation coverage and manual toil reduction.
· Adoption and enforcement of platform standards and self-service deployment paths.
· Cloud cost efficiency achieved through optimization.
· Timely and successful delivery of platform initiatives and projects.
· Mean time to recovery (MTTR) for platform-impacting incidents.
All your information will be kept confidential according to EEO guidelines.