DevSecOps Engineer
As part of the DevOps team, you will be responsible for building, maintaining, and optimizing the infrastructure and deployment processes that enable fast, secure, and reliable software delivery. Your responsibilities include:
CI/CD Pipeline Management: Collaborate on the design, implementation, and maintenance of CI/CD pipelines to improve deployment velocity and system reliability.
Infrastructure as Code (IaC): Contribute to IaC initiatives using tools such as Terraform, Terragrunt, or Ansible to provision and manage infrastructure efficiently and consistently.
Observability & Monitoring: Work with the DevOps/Infrastructure team to ensure application and system observability through metrics, logs, and distributed tracing using tools like Dynatrace, Prometheus, Grafana, and OpenTelemetry.
Platform Reliability: Participate in platform reliability efforts, including setting up monitoring and alerting systems, conducting automated testing, and tuning performance.
DevSecOps Integration: Help drive the adoption of DevSecOps practices, integrating security into CI/CD pipelines and ensuring infrastructure and application compliance.
Automation & Scripting: Develop and maintain scripts and automation tools to streamline infrastructure provisioning, build processes, and application deployments.
Cloud & Environment Management: Work with cloud and hosting providers to set up, configure, and manage application environments and deployment pipelines.
Resource Management: Provision and manage infrastructure resources such as servers, virtual machines, containers, and related services to support development and operations teams.
Continuous Integration/Delivery: Promote and implement continuous integration and delivery best practices to improve development workflows and deployment efficiency.
Must-Have Skills
Education & Experience: Degree in Computer Science, Information Systems, Computer Engineering, or equivalent hands-on experience in a related field.
DevOps & Cloud Expertise: Strong understanding of DevOps methodologies, Agile development practices, and cloud technologies (preferably AWS).
CI/CD Tools: Practical experience with CI/CD tools and pipelines using platforms such as GitLab CI/CD.
Infrastructure as Code (IaC): Proficiency in tools like Terraform, Terragrunt, or Ansible to automate infrastructure provisioning and management.
Containerization & Orchestration: Hands-on experience with Docker and Kubernetes for building, managing, and orchestrating containerized applications.
System Administration: Proficient in administering both Linux and Windows systems, including patching, performance tuning, and troubleshooting.
Web & Application Servers: Experience managing and deploying applications on JBoss and Apache servers.
Middleware & Messaging: Experience configuring and managing RabbitMQ or similar messaging systems.
Cloud & Virtualization: Familiarity with Amazon Web Services (AWS) and virtualization technologies like VMware.
Networking Fundamentals: Solid understanding of networking concepts (e.g., TCP/IP, DNS, load balancing, firewalls, VPNs, subnets) as they relate to cloud and on-prem environments.
Programming & Scripting: Exposure to backend technologies such as Java, and scripting skills (e.g., Bash, Python) for automation.
Monitoring & Observability: Familiar with observability tools (e.g., Prometheus, Grafana, OpenTelemetry, Dynatrace) for metrics, logging, and tracing.
Problem-Solving: Excellent analytical and troubleshooting skills across infrastructure, networks, and deployment pipelines.
Good-to-Have Skills
Architecture & Design: Experience designing infrastructure and automation solutions for complex and scalable applications.
Certifications: Relevant industry certifications (e.g., AWS Certified Solutions Architect, Certified Kubernetes Administrator etc).
Collaboration: Strong communication and interpersonal skills to work effectively with developers, testers, and operations teams.
Enterprise Experience: Background working in large software teams or enterprise IT environments.
关于高知特 (Cognizant)
高知特(Cognizant)(纳斯达克代码:CTSH)作为一家AI Builder和相关技术服务提供商,致力于通过打造全栈AI解决方案,帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长,将企业独特的业务场景融入科技系统,赋能组织释放人才潜能,推动切实成果,并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情,敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外,候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中,您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。







