Watch Jobs
浏览职位数据统计洞察报告招聘观察探索企业购买与订阅
我的收藏免费试用登录注册

Watch Jobs

我们专注于实时追踪各企业最新职位动态,帮助您节省求职时间,快速找到理想工作机会。

探索

  • 浏览职位
  • 数据统计
  • 洞察报告
  • 数据方法论
  • 探索企业

订阅

  • 免费试用
  • 价格方案
  • FAQ
  • 隐私政策

关注我们

微信公众号小红书淘宝店铺

© 2026 Watch Jobs. 保留所有权利

Created by jianglicat - 讲礼猫
Watch Jobs
浏览职位招聘观察购买与订阅
Baker Hughes logo
贝克休斯
Senior DevOps Engineer
立即应聘

Senior DevOps Engineer

发布于 6 个月前

普通员工/个人贡献者

Bangalore, Karnātaka, India
高级经验
全职员工
混合式弹性办公
本科
软件工程
CI/CD
Azure Pipelines

AI 估算 · 60k–100k

高级DevOps工程师在能源科技巨头任职,需掌握云原生、自动化及安全等复合技能,市场竞争力强,薪资位于行业高端。

职位详情

关于这个职位

作为贝克休斯的高级DevOps工程师,您将负责领导构建、测试、发布和运行时平台的演进,涵盖移动和后台服务

您需要定义CI/CD、基础设施即代码、可观测性和安全自动化的标准,并指导团队交付安全、可靠的大规模软件
这是一个专注于平台现代化、自动化流程和提升开发体验的技术领导角色

最低要求

拥有计算机科学/工程或相关领域的学士或硕士学位

在DevOps/平台/SRE领域拥有至少7-10年经验,包括在多团队环境中领导CI/CD标准化和现代化计划
能够展示通过自动化、容器平台和AWS上的托管服务,在提高部署速度、成本效率和可靠性方面取得的成就
拥有CI/CD经验:Azure Pipelines
可重用工作流
构建自动化
审批和通知
拥有云和IaC经验:AWS(核心服务)、Terraform(模块化模式)、Ansible
基于Azure DevOps的环境配置和策略即代码
容器与编排:Docker、Kubernetes(EKS)
打包、部署
拥有安全与质量经验:Fortify、GHAS、Black Duck、SonarQube
CI/CD中的SAST/SCA集成和质量门
拥有可观测性经验:Prometheus、Grafana
指标/SLO、告警以及生产就绪的运行手册
能够进行脚本/操作系统操作:Python、Bash
Linux、Windows、macOS(构建和运行时环境)

工作职责

定义和维护CI/CD及平台工作流(源代码控制、流水线、制品管理、环境)的“北极星”目标,强调可靠性、可重复性和开发者体验

使用Azure Pipelines标准化CI/CD
创建可重用工作流,并加速遗留产品CI/CD以及平台工作流的交付
领导构建和部署流程向容器和托管计算(例如Docker、Kubernetes)的现代化改造
通过将SAST/SCA(例如Fortify、Black Duck)和质量门(SonarQube)集成到流水线中,嵌入DevSecOps,将安全左移
建立平台架构原则和护栏,以实现可扩展性、安全性和可操作性
记录黄金路径和参考实现
使用Terraform(模块化、DRY模式)和Ansible推动基础设施即代码
推广用于环境配置和变更控制的GitOps工作流
定义可观测性(例如Prometheus、Grafana)、SLO和事件响应的标准
与团队合作实施指标优先的运维
指导DevOps和产品团队的工程师
对新组件和微服务构建脚本进行PR审查
并指导团队掌握平台CI/CD最佳实践和默认安全交付
与产品管理团队就路线图对齐进行协作,与安全团队合作以编码化控制措施,并与QA/发布团队合作以简化测试和发布编排(例如自动化测试人员通知)

AI 洞察

优缺点分析

优点

  • Work with cutting-edge technologies in cloud, containers, and automation at a global energy technology leader, offering significant impact on industrial systems.
  • Opportunity to define standards, mentor engineers, and shape the platform strategy, providing strong technical leadership and visibility.
  • Exposure to a mature DevSecOps culture with a focus on security automation and reliability engineering in a critical industry.
  • High responsibility for platform reliability and security at scale, requiring on-call readiness and handling complex, legacy system modernization.
  • Need to balance strategic platform development with mentoring and cross-team collaboration, demanding strong communication and influence skills.
  • Fast-paced environment requiring continuous learning to keep up with evolving cloud-native and security technologies.
  • This role is ideal for experienced DevOps professionals seeking a technical leadership position in a large-scale, impactful industrial technology environment, who enjoy standardization, automation, and mentoring.

缺点 / 挑战

暂无明显挑战项

角色解读

  • Technical leadership path: Progress to Principal DevOps Engineer, Platform Architect, or Site Reliability Engineering (SRE) leadership roles, focusing on strategic platform evolution.
  • Management path: Move into engineering management, leading DevOps or platform teams, or transition into roles like Head of Platform or Director of Engineering.
  • Lead the design and standardization of CI/CD pipelines and platform workflows using tools like Azure Pipelines, focusing on reliability and developer experience.
  • Drive the modernization of infrastructure through Infrastructure as Code (Terraform, Ansible) and containerization (Docker, Kubernetes), promoting GitOps practices.
  • Establish and implement observability standards (Prometheus, Grafana) and security automation (SAST/SCA tools) to ensure system reliability and shift security left in the development lifecycle.
  • Expertise in CI/CD tools and practices, particularly Azure Pipelines, with experience in creating reusable workflows and automating build/deploy processes.
  • Strong hands-on experience with cloud platforms (AWS), Infrastructure as Code (Terraform, Ansible), and container orchestration (Kubernetes, Docker).
  • Proficiency in integrating security tools (Fortify, Black Duck, SonarQube) into pipelines and establishing metrics-driven observability and incident response.

申请策略

  • Research Baker Hughes' industrial and energy technology solutions to understand the business context and how your platform work supports their products.
  • Prepare to discuss your approach to mentoring, cross-functional collaboration (with Product, Security), and handling legacy system modernization.
  • Quantify achievements in improving deployment speed, cost efficiency, or reliability through automation and cloud platforms, especially on AWS.
  • Detail specific experiences leading CI/CD standardization, IaC implementation (Terraform/Ansible), and containerization projects in multi-team settings.
  • Highlight hands-on experience with the specific toolchain mentioned: Azure Pipelines, Kubernetes, Prometheus/Grafana, and security tools like Fortify or SonarQube.
  • Deepen practical knowledge of advanced Terraform patterns (modules, workspaces) and Kubernetes operations (EKS, networking, security).
  • Brush up on scripting (Python/Bash) for automation tasks and understanding of Linux/Windows system contexts for build and runtime.

面试指南

  • Use the STAR method (Situation, Task, Action, Result) to structure answers, focusing on your specific actions and quantifiable outcomes.
  • For technical design questions, start by clarifying requirements, then outline your architecture choices, trade-offs considered, and how you ensure reliability, security, and operability.
  • Describe a time you led the modernization of CI/CD or infrastructure. What challenges did you face and how did you measure success?
  • How would you design a secure, scalable deployment pipeline for a hybrid (legacy and cloud-native) application environment?
  • Explain your experience with integrating security tools (SAST/SCA) into a CI/CD pipeline and how you ensure 'shift left' security.
  • Describe a complex production incident you helped resolve. What was your role, and how did observability tools aid the process?
  • How do you approach mentoring junior engineers or coaching product teams on DevOps best practices?
  • Be ready to discuss your hands-on projects with the key technologies: Azure Pipelines, Terraform, Kubernetes, and AWS services in detail.

职位点评

Watch Jobs
Watch Jobs

聚合公开职位信息,帮助你看清岗位细节与市场趋势。

探索

  • 浏览职位
  • 探索企业
  • 数据统计
  • 洞察报告
  • 招聘观察

产品

  • 免费试用
  • 价格方案
  • 数据方法论

支持

  • 常见问题
  • 隐私政策

© 2026 WatchJobs. 保留所有权利。

隐私政策

贝克休斯 的其他在招职位

  • Intern Supply Chain - China

    贝克休斯 · 上海市
    AI 估算 · 4k-8k
  • Supply Chain Intern

    贝克休斯 · 上海市
    AI 估算 · 4k-6k
  • Emerging Talent- Intern Sales

    贝克休斯 · 北京市
    AI 估算 · 4k-6k
  • Assembly Operator

    贝克休斯 · 苏州市
    AI 估算 · 6k-9k
  • Emerging Talent - Sales Intern 2026 Opportunities (China)

    贝克休斯 · 北京市
    AI 估算 · 4k-6k

相似职位推荐

  • 微信小游戏-大模型推荐算法工程师-商业化方向

    腾讯 · 广州市
    AI 估算 · 25k-45k
  • 腾讯云-可观测与运维平台高级研发工程师(深圳/杭州/北京/上海)

    腾讯 · 深圳市
    AI 估算 · 30k-60k
  • 企业智能体-高级全栈研发工程师

    腾讯 · 深圳市
    AI 估算 · 35k-55k
  • 大模型业务应用负责人

    小米 · 武汉市
    AI 估算 · 35k-55k
  • 直播 Android 业务架构师(POC)

    小红书 · 北京市
    AI 估算 · 30k-50k

贝克休斯 的其他在招职位

  • Intern Supply Chain - China

    贝克休斯 · 上海市
    AI 估算 · 4k-8k
  • Supply Chain Intern

    贝克休斯 · 上海市
    AI 估算 · 4k-6k
  • Emerging Talent- Intern Sales

    贝克休斯 · 北京市
    AI 估算 · 4k-6k
  • Assembly Operator

    贝克休斯 · 苏州市
    AI 估算 · 6k-9k
  • Emerging Talent - Sales Intern 2026 Opportunities (China)

    贝克休斯 · 北京市
    AI 估算 · 4k-6k

相似职位推荐

  • 微信小游戏-大模型推荐算法工程师-商业化方向

    腾讯 · 广州市
    AI 估算 · 25k-45k
  • 腾讯云-可观测与运维平台高级研发工程师(深圳/杭州/北京/上海)

    腾讯 · 深圳市
    AI 估算 · 30k-60k
  • 企业智能体-高级全栈研发工程师

    腾讯 · 深圳市
    AI 估算 · 35k-55k
  • 大模型业务应用负责人

    小米 · 武汉市
    AI 估算 · 35k-55k
  • 直播 Android 业务架构师(POC)

    小红书 · 北京市
    AI 估算 · 30k-50k