DevOps 与站点可靠性工程师
DevOps and Site Reliability Engineer
Wizpresso 是一家企业人工智能软件公司，通过安全、智能的自动化技术，改变监管合规、尽职调查和业务流程。我们的产品帮助组织管理复杂信息，生成基于证据的洞察，并以更高的速度、治理能力和信心进行运营。
我们正在寻找一位经验至少 3-5 年的 DevOps 和站点可靠性工程师，负责构建、运营、保护并持续改进支撑我们企业 SaaS 和 AI 产品的云基础设施。你将与软件工程师、AI 团队、产品经理和实施团队紧密合作，为客户提供可靠、可扩展和安全的服务。
职责
- 为 Wizpresso 的应用程序和 AI 支持的服务设计、部署和维护可扩展、高弹性和安全的云基础设施。
- 构建和优化 CI/CD 流水线，以支持开发、测试、预发布和生产环境中的可靠自动化软件发布。
- 使用 Docker 和 Kubernetes 或等效编排平台管理容器化工作负载。
- 使用 Terraform、CloudFormation、Ansible 或类似技术实现基础设施即代码。
- 使用 Prometheus、Grafana、ELK、Datadog、CloudWatch 或等效工具监控应用性能、基础设施健康状况、可用性和安全性。
- 领导事件调查、根本原因分析和修复工作；通过预防性工程提升系统可靠性。
- 建立适用于企业客户的备份、灾难恢复、业务连续性和高可用性实践。
- 与工程团队合作，改进部署架构、系统性能、安全控制和运营准备度。
- 维护云安全标准，包括身份和访问管理、密钥管理、网络安全、漏洞管理、加密和审计日志。
- 支持企业软件部署相关的安全、隐私和合规要求，包括客户尽职调查和安全问卷。
- 在保持可靠性和服务质量的同时优化基础设施性能和云支出。
- 编写和维护技术文档、操作手册、架构图和部署流程。
- 为客户提供部署支持，包括私有云、虚拟私有云等。
查看英文原文
Wizpresso is an enterprise AI software company transforming regulatory compliance, due diligence, and business workflows through secure, intelligent automation. Our products help organisations manage complex information, generate evidence-based insights, and operate with greater speed, governance, and confidence.
We are looking for a hands-on DevOps and Site Reliability Engineer with at least 3-5 years of experience to build, operate, secure, and continuously improve the cloud infrastructure behind our enterprise SaaS and AI products. You will work closely with software engineers, AI teams, product managers, and implementation teams to deliver reliable, scalable, and secure services for enterprise customers.
Responsibilities
- Design, deploy, and maintain scalable, resilient, and secure cloud infrastructure for Wizpresso's applications and AI-enabled services.
- Build and improve CI/CD pipelines to support reliable, automated software releases across development, testing, staging, and production environments.
- Manage containerised workloads using Docker and Kubernetes or equivalent orchestration platforms.
- Implement Infrastructure as Code using tools such as Terraform, CloudFormation, Ansible, or similar technologies.
- Monitor application performance, infrastructure health, availability, and security using observability tools such as Prometheus, Grafana, ELK, Datadog, CloudWatch, or equivalent.
- Lead incident investigation, root-cause analysis, and remediation activities; improve system reliability through preventive engineering.
- Establish backup, disaster recovery, business continuity, and high-availability practices appropriate for enterprise customers.
- Partner with engineering teams to improve deployment architecture, system performance, security controls, and operational readiness.
- Maintain cloud security standards, including identity and access management, secrets management, network security, vulnerability management, encryption, and audit logging.
- Support security, privacy, and compliance requirements relevant to enterprise software deployments, including customer due diligence and security questionnaires.
- Optimise infrastructure performance and cloud expenditure while maintaining reliability and service quality.
- Develop and maintain technical documentation, operational runbooks, architecture diagrams, and deployment procedures.
- Provide technical support for customer deployments, including private cloud, virtual private cloud, or on-premise environments where required.
Requirements
- At least 3-5 years of experience in DevOps, Site Reliability Engineering, cloud infrastructure, platform engineering, or a related role.
- Strong production experience with one or more major cloud platforms, preferably AWS; experience with Azure or Google Cloud Platform is also welcome.
- Solid hands-on experience with CI/CD tools such as GitHub Actions, GitLab CI/CD, Jenkins, CircleCI, Azure DevOps, or equivalent.
- Proficiency in containerisation and orchestration technologies, including Docker and Kubernetes.
- Experience with Infrastructure as Code tools, preferably Terraform; knowledge of Ansible, Helm, or CloudFormation is an advantage.
- Strong Linux administration, networking, troubleshooting, and scripting skills using Bash, Python, or similar languages.
- Experience implementing monitoring, logging, alerting, and observability solutions for production systems.
- Good understanding of cloud security, access control, network segmentation, secrets management, data protection, and vulnerability remediation.
- Experience supporting highly available, customer-facing SaaS platforms and managing production incidents.
- Ability to communicate clearly with technical and non-technical stakeholders in a fast-moving environment.
- Strong ownership, attention to detail, and a practical approach to resolving complex operational issues.
- Proficiency in written and spoken English.
Preferred Qualifications
- Experience supporting AI, machine learning, LLM, data-processing, or document-intelligence platforms.
- Experience operating PostgreSQL, Elasticsearch/OpenSearch, Redis, message queues, and object storage in production environments.
- Familiarity with enterprise security and compliance standards such as ISO 27001, SOC 2, GDPR, or Hong Kong data privacy requirements.
- Experience with multi-tenant SaaS architecture, enterprise integrations, or deployment into regulated industries such as financial services, legal, insurance, or government.
- Relevant cloud, Kubernetes, or security certifications.
What We Offer
- The opportunity to build infrastructure for meaningful enterprise AI products used in regulatory, legal, and business-critical workflows.
- A high-impact role with direct ownership over platform reliability, security, and engineering efficiency.
- Exposure to modern AI, workflow automation, cloud-native architecture, and enterprise software challenges.
- A collaborative, entrepreneurial environment with opportunities to influence technical strategy and product direction.
- Competitive compensation and benefits, commensurate with experience.
About Wizpresso
Wizpresso develops enterprise AI solutions that help organisations automate complex workflows involving regulatory monitoring, due diligence, application vetting, document intelligence, governance, and compliance. We combine advanced AI capabilities with enterprise-grade security, traceability, and workflow controls to help customers make faster, better-informed decisions.
To apply, please submit your CV and a brief description of your relevant cloud infrastructure and DevOps experience.
Originally posted on Himalayas