Job Summary
The GCP DevOps Engineer will work closely with development QA and operations teams to automate workflows optimize cloud usage and ensure smooth deployment of applications. The engineer will leverage GCP services infrastructure-as-code and DevOps best practices to support high availability cost efficient and secure cloud environments.
Responsibilities
- Role: GCP DevOps Engineer
- Strong experience with GCP services (Compute Storage Networking IAM GKE).
- Proficiency in Terraform or other IaC tools.
- Hands on experience with Kubernetes and Docker.
- Strong understanding of CI/CD pipelines.
- Knowledge of scripting languages (Python Bash).
- Familiarity with microservices APIs and cloud native architectures.
Job Description: GCP DevOps Engineer(SA):
A GCP DevOps Engineer is responsible for designing implementing and maintaining cloud infrastructure and CI/CD pipelines on Google Cloud Platform (GCP). The role blends software engineering cloud architecture automation and operations to ensure scalable secure and reliable systems.
Role Overview
The GCP DevOps Engineer will work closely with development QA and operations teams to automate workflows optimize cloud usage and ensure smooth deployment of applications. The engineer will leverage GCP services infrastructure-as-code and DevOps best practices to support high availability cost efficient and secure cloud environments.
Key Responsibilities
1. Cloud Infrastructure Management
- Design deploy and manage scalable infrastructure on Google Cloud Platform (Compute Engine GKE Cloud Run Cloud Functions VPC Load Balancers).
- Implement Infrastructure as Code (IaC) using Terraform Deployment Manager or similar tools.
- Manage networking components: VPCs subnets firewalls Cloud DNS Cloud NAT.
2. CI/CD Pipeline Development
- Build and maintain CI/CD pipelines using tools like Cloud Build Jenkins GitHub Actions GitLab CI.
- Automate application deployments to GKE Cloud Run or VM-based environments.
- Implement automated testing quality gates and deployment strategies (blue green canary).
3. Containerization & Orchestration
- Build and optimize Docker images.
- Manage Kubernetes clusters using GKE (autoscaling node pools ingress service mesh).
- Implement monitoring logging and alerting for containerized workloads.
4. Monitoring Logging & Observability
- Configure and maintain Cloud Monitoring Cloud Logging Cloud Trace Cloud Profiler.
- Set up dashboards alerts and SLO/SLI/SLA metrics.
- Troubleshoot performance issues across distributed systems.
5. Security & Compliance
- Implement IAM roles service accounts and least privilege access.
- Manage secrets using Secret Manager or HashiCorp Vault.
- Ensure compliance with organizational and industry security standards.
6. Automation & Scripting
- Automate operational tasks using Python Bash or Go.
- Develop automated backup failover and disaster recovery processes.
- Optimize cloud resource usage and cost.
7. Collaboration & Support
- Work with developers to ensure cloud native application design.
- Provide operational support for production systems.
- Participate in on call rotations (if applicable).
Certifications Required
Must have certification in GCP and good to have certification in DevOps skills
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。
