GCP Cloud Engineer

Wissen Technology is Hiring for GCP Cloud Engineer

About Wissen Technology:

At Wissen Technology, we deliver niche, custom-built products that solve complex business challenges across industries worldwide. Founded in 2015, our core philosophy is built around a strong product engineering mindset—ensuring every solution is architected and delivered right the first time. Today, Wissen Technology has a global footprint with 2000+ employees across offices in the US, UK, UAE, India, and Australia. Our commitment to excellence translates into delivering 2X impact compared to traditional service providers. How do we achieve this? Through a combination of deep domain knowledge, cutting-edge technology expertise, and a relentless focus on quality. We don’t just meet expectations—we exceed them by ensuring faster time-to-market, reduced rework, and greater alignment with client objectives. We have a proven track record of building mission-critical systems across industries, including financial services, healthcare, retail, manufacturing, and more. Wissen stands apart through its unique delivery models. Our outcome-based projects ensure predictable costs and timelines, while our agile pods provide clients with the flexibility to adapt to their evolving business needs. Wissen leverages its thought leadership and technology prowess to drive superior business outcomes. Our success is powered by top-tier talent. Our mission is clear: to be the partner of choice for building world-class custom products that deliver exceptional impact—the first time, every time.

Job Summary: We are looking for an experienced GCP Cloud Engineer to design, implement, and manage cloud-based solutions on Google Cloud Platform (GCP). The ideal candidate should have expertise in GKE (Google Kubernetes Engine), Cloud Run, Cloud Loadbalancer, Cloud function, Azure DevOps, and Terraform, with a strong focus on automation, security, and scalability.

You will work closely with development, operations, and security teams to ensure robust cloud infrastructure and CI/CD pipelines while optimizing performance and cost.

Experience: 7- 12 Years

Location: Bangalore/Pune/Mumbai

Mode of Work: Full Time

Key Responsibilities:

• Architect, deploy, and maintain GCP cloud resources via Terraform and other automation tools.
  
• Implement Google Cloud Storage, Cloud SQL, and File store for data storage and processing.
  
• Manage and configure Cloud Load Balancers (HTTP(S), TCP/UDP, SSL Proxy) for high availability and scalability.
  
• Optimize resource allocation, monitoring, and cost efficiency across GCP environments.
  
• Deploy, manage, and optimize workloads on Google Kubernetes Engine (GKE).
  
• Work with Helm charts for microservices deployments.
  
• Automate scaling, rolling updates, and zero-downtime deployments.
  
• Deploy and manage applications on Cloud Run and Cloud Functions.
  
• Optimize containerized applications for cost efficiency and performance.
  
• Design and manage CI/CD pipelines using Azure DevOps.
  
• Automate infrastructure deployment using Terraform, Bash, and PowerShell scripting.
  
• Integrate security and compliance checks into DevOps workflows (DevSecOps)
  
  
  

Requirements:

• Experience: 4+ years in Cloud Engineering, with a focus on GCP.
  
• Cloud Expertise: Strong knowledge of GCP services (GKE, Compute Engine, IAM, VPC, Cloud Storage, Cloud SQL, Cloud Functions).
  
• Kubernetes & Containers: Experience with GKE, Docker, GKE Networking, Helm.
  
• DevOps Tools: Hands-on experience with Azure DevOps for CI/CD pipeline automation.
  
• Infrastructure-as-Code (IaC): Expertise in Terraform for provisioning cloud resources.
  
• Scripting & Automation: Proficiency in Python, Bash, or PowerShell for automation.
  
• Security & Compliance: Knowledge of cloud security principles, IAM, and compliance standards
  
• BE/BTech OR MTech OR MCA (Preferably from IIT, NIT, BITS and IIIT)
  
• strong understanding of cloud, networking, and Terraform concepts.
  
  

Good To Have Skills:

• Experience with DevSecOps practices.
  
• Exposure to multi-cloud environments.
  
• Familiarity with cost optimization strategies in cloud deployments.
  
• Certification in GCP or Azure is a plus.
  
  

Wissen Sites:

Website: www.wissen.com

LinkedIn: https://www.linkedin.com/company/wissen-technology

Wissen Leadership: https://www.wissen.com/company/leadership-team/

Wissen Live: https://www.linkedin.com/company/wissen-technology/posts/feedView=All
Wissen Thought Leadership: https://www.wissen.com/articles/