G23 - DevSecOps (StackOps)
职位概述 我们正在寻找一个经验丰富的 DevOps 工程师，加入我们的中央启动团队并支持企业范围内的 Resiliency-as-a-Service 平台的开发和增强。成功的候选人将负责设计，开发和维护自动化基础设施，集成以及工作流程，使工程团队能够有效地管理事件，提高系统可靠性，降低停机时间。这个角色侧重于"基础设施如代码 (IaC),观察性平台，事故管理集成，人工智能驱动的自动化和持续改善平台可靠性。基础设施自动化和平台工程 · 使用 Terraform,Pulumi 和 Ansible 等基础设施代码 (IaC) 工具设计，开发和维护可扩展的基础设施。·建立自动监测和事件管理工作流程以支持标准化的平台部署。·开发自动服务内置门户和 API,使工程团队能够将应用程序集成到中央弹性平台中。·实施自动化解决方案来提高运营效率，扩展性和平台可靠性。事件管理与系统整合。· 开发和维护 Elasticsearch,AWS,Azure 以及 Dynatrace 及 IT 服务管理 (ITSM) 等可观测性平台之间的 API 集成和网络链。· 将监控和警报解决方案与 Jira Service Management (JSM) 结合起来以简化事件管理流程。· 自动化警告路由，事件丰富，门票创建和工作流的执行。· 与中央弹性智能平台进行集成监控和事件可视性的集成并保持集成.AI 运营 &自动化补救 ·实现 AIOps 功能支持异常检测，根源分析 (RCA),主动事件管理。· 开发使用 Python,Go 或 Node.js 的自动化脚本来执行自动运行书籍和修复工作流程。· 自动检测，响应和解决常见基础设施和应用问题的自我治愈能力。· 将人工智能驱动的事件报告功能集成到 ITSM 平台中，以自动化事件总结，时间线和事故后审查 (PIR). 平台可靠性 & CI / CD ·确保中央观察性和事件管理平臺的可用性，性能，扩展性和可靠性
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Role Overview
We are seeking an experienced DevOps Engineer to join our Central Enablement Team and support the development and enhancement of an enterprise-wide Resiliency-as-a-Service platform.
The successful candidate will be responsible for designing, developing, and maintaining automated infrastructure, integrations, and workflows that enable engineering teams to manage incidents effectively, improve system reliability, and minimise downtime.
This role focuses on Infrastructure-as-Code (IaC), observability platforms, incident management integrations, AI-driven automation, and continuous improvement of platform reliability.
Key Responsibilities
Infrastructure Automation & Platform Engineering
- Design, develop, and maintain scalable infrastructure using Infrastructure-as-Code (IaC) tools such as Terraform, Pulumi, and Ansible.
- Build automated monitoring and incident management workflows to support standardised platform deployment.
- Develop self-service onboarding portals and APIs to enable engineering teams to integrate applications into the central resiliency platform.
- Implement automation solutions to improve operational efficiency, scalability, and platform reliability.
Incident Management & System Integration
- Develop and maintain API integrations and webhooks between observability platforms such as Elasticsearch, AWS, Azure, and Dynatrace and IT Service Management (ITSM) systems.
- Integrate monitoring and alerting solutions with Jira Service Management (JSM) to streamline incident management processes.
- Automate alert routing, incident enrichment, ticket creation, and workflow execution.
- Develop and maintain integrations with the central Elastic Intelligence platform to enable consolidated monitoring and incident visibility.
AI Operations & Automated Remediation
- Implement AIOps capabilities to support anomaly detection, root cause analysis (RCA), and proactive incident management.
- Develop automation scripts using Python, Go, or Node.js to execute automated runbooks and remediation workflows.
- Build self-healing capabilities to automatically detect, respond to, and resolve common infrastructure and application issues.
- Integrate AI-driven incident reporting capabilities into ITSM platforms to automate incident summaries, timelines, and post-incident reviews (PIRs).
Platform Reliability & CI/CD
- Ensure the availability, performance, scalability, and reliability of central observability and incident management platforms.
- Design, implement, and maintain CI/CD pipelines for automated testing, configuration management, and deployment.
- Monitor platform performance, troubleshoot technical issues, and implement continuous improvements.
- Collaborate with product leads, engineering teams, and stakeholders to translate business and operational requirements into technical solutions.
- Provide technical consultation and support to platform users, addressing integration challenges and enhancing platform capabilities.
Requirements & Qualifications
Education & Experience
- Diploma or Degree in Computer Science, Information Technology, Software Engineering, or a related discipline.
- Minimum 3–5 years of relevant experience in DevOps Engineering, Software Engineering, Site Reliability Engineering (SRE), or Platform Engineering.
- Experience working in centralised platform engineering teams or Internal Developer Platform (IDP) environments is advantageous.
Technical Skills
- Strong programming and scripting skills in Python, Go, or Node.js for automation, REST API development, and system integrations.
- Hands-on experience with Infrastructure-as-Code tools such as Terraform, Pulumi, or Ansible.
- Experience deploying and managing infrastructure in AWS or Microsoft Azure cloud environments.
- Practical knowledge of observability and monitoring tools such as OpenTelemetry, Elastic Stack, Dynatrace, or Datadog.
- Experience integrating ITSM platforms such as Jira Service Management, ServiceNow, or PagerDuty through APIs and automated workflows.
- Strong understanding of CI/CD pipelines, automation frameworks, and modern DevOps practices.
- Knowledge of incident management, root cause analysis, alerting workflows, and automated remediation.
Soft Skills
- Strong analytical, troubleshooting, and problem-solving abilities.
- Good communication and stakeholder management skills.
- Ability to work collaboratively with cross-functional engineering and operations teams.
- Proactive mindset with a focus on automation, reliability, and continuous improvement.
Originally posted on Himalayas