GCP Cloud Engineer at Wissen Technology · Pune, Bengaluru (Bangalore), Mumbai · 4 - 7 years · Profitable · Posted 4 Sep 2025

Job Description
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.
Work location: Pune/Mumbai/Bangalore
Experience: 4-7 Years
Joining: Mid of October
You will work closely with development, operations, and security teams to ensure robust cloud infrastructure and CI/CD pipelines while optimizing performance and cost.
Key Responsibilities:
1. Cloud Infrastructure Design & Management
· Architect, deploy, and maintain GCP cloud resources via terraform/other automation.
· Implement Google Cloud Storage, Cloud SQL, file store, for data storage and processing needs.
· Manage and configure Cloud Load Balancers (HTTP(S), TCP/UDP, and SSL Proxy) for high availability and scalability.
· Optimize resource allocation, monitoring, and cost efficiency across GCP environments.
2. Kubernetes & Container Orchestration
· Deploy, manage, and optimize workloads on Google Kubernetes Engine (GKE).
· Work with Helm charts, Istio, and service meshes for microservices deployments.
· Automate scaling, rolling updates, and zero-downtime deployments.
3. Serverless & Compute Services
· Deploy and manage applications on Cloud Run and Cloud Functions for scalable, serverless workloads.
· Optimize containerized applications running on Cloud Run for cost efficiency and performance.
4. CI/CD & DevOps Automation
· Design, implement, and manage CI/CD pipelines using Azure DevOps.
· Automate infrastructure deployment using Terraform, Bash and Power shell scripting
· Integrate security and compliance checks into the DevOps workflow (DevSecOps).
Required Skills & Qualifications:
✔ 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.
About Wissen Technology
Wissen Technology, established in 2015 and part of the Wissen Group (founded in 2000), is a specialized technology consulting company. We pride ourselves on delivering high-quality solutions for global organizations across Banking & Finance, Telecom, and Healthcare domains.
Here’s why Wissen Technology stands out:
Global Presence: Offices in US, India, UK, Australia, Mexico, and Canada.
Expert Team: Wissen Group comprises over 4000 highly skilled professionals worldwide, with Wissen Technology contributing 1400 of these experts. Our team includes graduates from prestigious institutions such as Wharton, MIT, IITs, IIMs, and NITs.
Recognitions: Great Place to Work® Certified.
Featured as a Top 20 AI/ML Vendor by CIO Insider (2020).
Impressive Growth: Achieved 400% revenue growth in 5 years without external funding.
Successful Projects: Delivered $650 million worth of projects to 20+ Fortune 500 companies.
For more details:
Website: www.wissen.com
Wissen Thought leadership : https://www.wissen.com/articles/
LinkedIn: Wissen Technology

About Wissen Technology
About
The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015. Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains.
With offices in US, India, UK, Australia, Mexico, and Canada, we offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.
Leveraging our multi-site operations in the USA and India and availability of world-class infrastructure, we offer a combination of on-site, off-site and offshore service models. Our technical competencies, proactive management approach, proven methodologies, committed support and the ability to quickly react to urgent needs make us a valued partner for any kind of Digital Enablement Services, Managed Services, or Business Services.
We believe that the technology and thought leadership that we command in the industry is the direct result of the kind of people we have been able to attract, to form this organization (you are one of them!).
Our workforce consists of 1000+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like MIT, Wharton, IITs, IIMs, and BITS and with rich work experience in some of the biggest companies in the world.
Wissen Technology has been certified as a Great Place to Work®. The technology and thought leadership that the company commands in the industry is the direct result of the kind of people Wissen has been able to attract. Wissen is committed to providing them the best possible opportunities and careers, which extends to providing the best possible experience and value to our clients.
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Required Skills & Qualifications
- Experience: 10+ years in Cloud Engineering, Infrastructure, or DevOps, with strong hands-on GCP experience.
- GCP Expertise: GKE, Compute Engine, IAM, VPC, Cloud Storage, Cloud SQL, Cloud Run, Cloud Functions, and Load Balancing.
- Kubernetes & Containers: GKE, Docker, Kubernetes networking, Helm, and troubleshooting.
- DevOps & IaC: Azure DevOps, Terraform, CI/CD pipelines, and infrastructure automation.
- Scripting: Python, Bash, or PowerShell.
- Security & Operations: Cloud security, IAM, monitoring, incident management, and cost optimization.
- Leadership & Ownership: Proven experience in team leadership, cross-functional collaboration, stakeholder management, managing multiple product-line deliverables, and handling competing priorities and ad hoc requests.
- Additional Advantage: Experience with Microsoft Azure.

Job Title: L2 GCP Cloud Infrastructure & Operations Engineer
Experience: 3–6 Years
Location: Pune
Employment Type: Full-time
Job Overview
We are looking for an experienced L2 GCP Cloud Infrastructure & Operations Engineer with strong hands-on experience managing, monitoring, and troubleshooting Google Cloud Platform infrastructure in a production environment.
The ideal candidate should have practical experience in Compute Engine, Linux administration, GCP networking, incident management, and cloud infrastructure troubleshooting.
Key Responsibilities
- Manage and troubleshoot GCP infrastructure, including Compute Engine VMs, disks, snapshots, and cloud resources.
- Perform Linux system administration, OS patching, security updates, and performance troubleshooting.
- Configure and troubleshoot GCP networking components, including VPCs, subnets, firewall rules, routes, Cloud NAT, VPN, DNS, and load balancing.
- Handle L2 production incidents, service requests, escalations, root-cause analysis (RCA), and SLA commitments.
- Monitor infrastructure using Google Cloud Monitoring and Cloud Logging; investigate alerts and resolve service issues.
- Administer IAM roles, service accounts, permissions, and infrastructure security controls.
- Support backup, restoration, disaster recovery, and high-availability operations.
- Automate infrastructure provisioning and operational tasks using Terraform, Ansible, Bash, or Python.
- Maintain technical documentation, operational procedures, and incident reports.
Required Skills
- 3–6 years of experience in cloud infrastructure, cloud operations, or production support.
- Hands-on production experience with Google Cloud Platform (GCP).
- Strong knowledge of Compute Engine, Linux administration, and infrastructure troubleshooting.
- Practical understanding of VPC networking, firewall rules, routing, NAT, VPN, and load balancing.
- Experience handling production incidents, troubleshooting, RCA, and SLA-driven support.
- Familiarity with Cloud Monitoring, Cloud Logging, IAM, backup, and recovery procedures.
- Working knowledge of Terraform, scripting, or configuration management tools.
Preferred Skills
- Google Associate Cloud Engineer or Professional Cloud certifications.
- Experience supporting enterprise production environments.
- Exposure to Kubernetes/GKE, CI/CD pipelines, and infrastructure automation.
Important Candidate Requirement
Candidates must have practical, hands-on experience resolving production infrastructure issues in GCP. Candidates whose experience is limited to theoretical knowledge, training, certifications, or application-level support without infrastructure troubleshooting experience may not be suitable.
Ideal Candidate Profile
A cloud operations or infrastructure support engineer who has personally managed GCP resources, investigated production incidents, troubleshot Linux and networking issues, and maintained service availability.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Cloud Infrastructure Engineer – BANG | 10+ Years
Location: Bangalore
Experience: 10+ Years
Job Description:
- Design, implement, and manage cloud infrastructure across AWS/Azure/GCP environments.
- Strong experience in cloud architecture, compute, storage, networking, and security.
- Manage VMs, VPC/VNet, load balancers, DNS, DHCP, firewalls, and IAM.
- Hands-on experience with Windows/Linux servers, VMware, virtualization, and infrastructure operations.
- Automate infrastructure provisioning and configuration using Terraform, Ansible, or similar tools.
- Monitor infrastructure performance, availability, and capacity using tools such as Grafana, Prometheus, or CloudWatch/Azure Monitor.
- Handle incident management, troubleshooting, disaster recovery, backup, and high-availability requirements.
- Work with cross-functional teams to support cloud migration, infrastructure upgrades, and production environments.
- Ensure infrastructure follows security, compliance, and operational best practices.
Must-Have Skills:
Cloud Infrastructure | AWS/Azure/GCP | Networking | Linux/Windows | VMware | Terraform | Ansible | DNS/DHCP | IAM | Monitoring | Backup & DR
Job Summary
We are looking for a skilled DevOps Engineer with hands-on experience in Terraform, Google Cloud Platform (GCP), infrastructure setup, and product installation. The candidate will be responsible for provisioning cloud infrastructure, configuring environments, installing software products, and ensuring smooth deployment and operation of applications.
Key Responsibilities
- Set up, configure, and manage cloud infrastructure on GCP.
- Use Terraform for Infrastructure as Code (IaC) and automated infrastructure provisioning.
- Perform software product installation, configuration, and upgrades.
- Manage infrastructure environments and resolve installation and configuration issues.
- Monitor infrastructure performance, availability, and reliability.
- Collaborate with development and operations teams to support deployments.
- Follow security, backup, and infrastructure management best practices.
- Troubleshoot technical issues related to infrastructure and product installations.
Required Skills
- Hands-on experience with Terraform.
- Working knowledge of Google Cloud Platform (GCP).
- Experience in infrastructure setup and provisioning.
- Experience in software product/application installation and configuration.
- Knowledge of Linux/Unix operating systems.
- Understanding of networking, cloud security, and troubleshooting.
- Good problem-solving and communication skills.
Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience).
3+ years of hands-on experience with Microsoft Azure, including IaaS, PaaS, networking, identity (Entra ID), and governance services.
2+ years of experience with DevOps tooling and practices, including CI/CD pipelines (Azure DevOps or GitHub Actions), Infrastructure as Code (Terraform, Bicep, or ARM), and version control (Git).
2+ years' experience in infrastructure design, platform engineering, or architecture.
Strong proficiency with automation and scripting — PowerShell, Azure CLI, Python, or Bash.
Solid understanding of containerisation (Docker) and familiarity with orchestration platforms (Azure Kubernetes Service).
Deep understanding of cloud architecture, deployment patterns, and management best practices, including the Azure Well-Architected Framework.
Experience defining standards, governance frameworks, and reference architectures for cloud platform consumption.
Strong knowledge of networking concepts, storage configurations, virtualisation technologies, and disaster recovery/backup design for hybrid environments.
Experience with Azure DevOps (Repos, Pipelines, Boards, Artifacts) or equivalent platforms.
Familiarity with identity and access management (IAM), including Entra ID, RBAC, PIM.
Strong understanding of security, compliance requirements, and IT governance frameworks (ITIL, COBIT, or similar).
Preferred
Cloud Engineers – 2nd Shift – 4+ Years Experience
Required Qualifications:
- Strong experience in AWS infrastructure components and operational management (e.g., EC2, S3, VPC, IAM).
- Proficiency in IaC tools such as Terraform and/or CloudFormation.
- Solid scripting skills in Python, Bash, or equivalent for automation tasks.
- Experience with monitoring and logging tools (e.g., CloudWatch, Prometheus, ELK).
- Familiarity with network fundamentals: DNS, firewall rules, virtual networks.
- Strong troubleshooting mindset and experience resolving production-level issues.
- Excellent documentation and communication skills to maintain system knowledge and collaborate with teams.
Preferred Qualifications:
- AWS certifications (e.g., SysOps Administrator).
- Experience with containerization (Docker, Kubernetes/EKS/ECS).
- Exposure to CI/CD tooling like Terraform, DevOps, GitHub Actions, or any other DevOps tools.
- CI/CD pipeline, infra pipelines.
- AWS services like compute, network, storage, security.
- Migration experience like Discovery/Assessments, TA, Infra Design.
We are seeking a highly skilled and experienced DevOps Engineer to join our development team.
Years of experience needed: 8+ Yrs
Required Skills
Strong experience with GitLab, TeamCity, Terraform, Kubernetes and Docker
Proficiency in various deployment strategies and CI/CD pipeline setups
Solid understanding of Linux administration and Windows IIS.
Advanced scripting skills in bash and PowerShell
Hands-on experience with Google Cloud Platform (GCP) services, particularly GKE, GCS, GCE, Cloud SQL, and load balancers
Familiarity with Autosys for job scheduling and automation
Excellent problem-solving and troubleshooting skills
Ability to work independently and collaboratively in a fast-paced environment
- • Strong communication and interpersonal skills.
WowPe is a leading fintech company revolutionizing the way businesses handle financial transactions. Our suite of innovative products includes a secure Payment Gateway for seamless online transactions, robust Payouts solutions to streamline bulk payments, and a versatile Point of Sale (POS) system for efficient in-store transactions. At WowPe, we’re dedicated to providing user-friendly, scalable, and reliable solutions that empower businesses to grow and succeed in today’s fast-paced digital economy.
We are looking for a highly skilled Cloud Infrastructure & Cloud Network Engineer to design, build, and manage secure, scalable hybrid cloud environments at WowPe. This role will focus on cloud networking, hybrid connectivity, infrastructure automation, security, reliability, and performance across on-prem and cloud platforms (AWS/Azure). You will play a critical role in ensuring high availability, security, and performance of our fintech platforms.
A Day in the Life
- Design and review cloud network architectures (VPC/VNet, routing, segmentation)
- Troubleshoot latency, connectivity, VPN, and performance issues
- Work with DevOps and application teams to support deployments and scalability
- Automate infrastructure provisioning and security guardrails
- Monitor network health, traffic flow, and system performance
- Ensure security, compliance, and disaster recovery readiness
- Support hybrid connectivity between on-prem data centers and cloud environments.
Key Responsibilities
Cloud Networking & Hybrid Architecture
- Design and implement VPC/VNet architectures, subnetting, routing tables, NAT, gateways, and secure segmentation
- Build and manage hybrid connectivity between on-prem data centers and cloud using Site-to-Site VPN, ExpressRoute, Direct Connect
- Configure and manage Layer 4 & Layer 7 load balancers for high availability and traffic distribution
- Architect DNS, CDN, and edge networking strategies for low-latency global access
Security & Zero-Trust
- Implement Zero-Trust networking using security groups, NACLs, identity-aware proxies, mTLS
- Design secure access controls and network isolation
- Work closely with security teams to ensure PCI, ISO, SOC compliance readiness
Automation, Platform & Reliability
- Automate infrastructure provisioning using Infrastructure as Code (Terraform/ARM/CloudFormation)
- Build self-healing, auto-scaling architectures with health checks and fault tolerance
- Support and manage Kubernetes clusters (EKS/AKS) including networking and service communication
- Integrate infra with CI/CD pipelines for safe and frequent deployments
Operations & Observability
- Perform advanced troubleshooting for latency, packet loss, MTU, routing loops
- Implement and manage monitoring, logging, and observability (Prometheus, Grafana, ELK, Azure Monitor, CloudWatch)
- Design and maintain disaster recovery architectures, multi-region networking, and replication strategies
- Ensure high availability, performance optimization, and cost efficiency
Basic Qualifications & Skills
- 4+ years of experience in Cloud Infrastructure & Cloud Networking
- Strong hands-on experience with AWS and/or Azure
- Deep understanding of VPC/VNet, routing, NAT, gateways, load balancers, DNS
- Experience with Hybrid connectivity (VPN, ExpressRoute, Direct Connect)
- Solid knowledge of network security, firewalls, access control, segmentation
- Hands-on experience with Infrastructure as Code (Terraform preferred)
- Experience in monitoring, troubleshooting, and incident handling
- Strong understanding of high availability, DR, and performance optimization
Preferred Qualifications
- Experience in fintech, BFSI, or high-compliance environments
- Exposure to Zero-Trust architecture and security best practices
- Experience with Kubernetes (EKS/AKS), service mesh, microservices networking
- Familiarity with CI/CD pipelines and DevOps practices
- Knowledge of CDN, edge networking, and global traffic management
- Experience with compliance frameworks (PCI-DSS, ISO 27001, SOC2)
- Ability to design large-scale, resilient, production-grade architectures
- Strong hands-on experience in Microsoft Azure Cloud.
- Good understanding of Azure services such as Compute, Storage, Event Hub, Event Subscription, Storage Queue, and PaaS services.
- Basic understanding of Azure AI Foundry and AI-related Azure service setup.
- Good Azure networking basics: VNet, subnet, routing, and basic troubleshooting.
- Strong knowledge of Terraform, especially:
- Terraform state
- plan / apply
- troubleshooting failures
- migration risks
- Terraform Enterprise concepts
- Strong Python coding capability, not just basic scripting.
- Experience using Python for API integration, automation, JSON/YAML handling, and internal tooling.
- Good understanding of CI/CD pipelines.
- Ability to troubleshoot pipeline failures.
- Comfortable with YAML and JSON.
- Ability to troubleshoot Azure infrastructure/platform issues.
- Ability to collect logs/evidence and coordinate with network/app/Microsoft support teams.
- Basic awareness of agentic AI / LLM concepts.
- Awareness of security and cost best practices.
Good to Have Skills
- Hands-on experience with Harness.
- Hands-on experience with Terraform Enterprise.
- Exposure to LangGraph / LangChain.
- Exposure to agentic AI workflows or skill creation.
- Exposure to Claude or enterprise LLM integrations.
- Knowledge of Azure ML Workspace, model registry, and managed endpoints.
- MLOps / LLMOps knowledge.
- FinOps / Azure cost optimization experience.
- Azure certifications: AZ-104, AZ-305, AZ-400, AZ-500.
Screening Priority:
Azure Cloud + Terraform + Python Coding + CI/CD Troubleshooting + YAML/JSON + Basic Agentic AI Awareness
Tasks & Responsibilities: (Major task and role person will have to perform – list all the relevant points)
Together with the Business Cloud Services team, you will design, deploy, and operate a cloud‑native Kubernetes PaaS platform on Azure, ensuring high availability, security, and operational excellence.
Your main duties include:
· Drive cloud‑native automation and self‑service capabilities, ensuring platform security, availability, and disaster recovery readiness
· Design, operate, and continuously improve Kubernetes clusters and PaaS environments on Azure / AKS
· Collaborate closely with development teams on deployment strategies, operational requirements, and platform integration
· Review and maintain infrastructure‑as‑code configurations, CI/CD pipelines, and cloud‑native deployments
· Build and maintain CI/CD pipelines using Azure DevOps
· Implement and operate infrastructure‑as‑code solutions using Terraform, Helm, and Ansible
· Manage containerized workloads and orchestration across cloud‑native environments
· Set up, operate, and enhance monitoring, logging, and alerting stacks using tools such as Prometheus and Grafana
· Coordinate with support teams on platform incidents, escalations, and post‑incident analysis
· Contribute to incident response, continuous improvement, and operational stability
· Support the development and refinement of DevOps practices, runbooks, and operational standards
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Education & Trainings + Certifications: (Basic & Professional)
· Bachelor’s degree (Preferably engineering graduate)
· Azure Solutions Architect Expert Certification is a plus.
· (optional) ITIL Foundation
Technical know-how: (Mention the technology on which person must be experienced)
Mandatory
o Bachelor’s degree in computer science, Information Systems, or a related field
o 5+ years of relevant professional experience in DevOps, Cloud Engineering, or Platform Engineering roles
o Strong Linux system administration skills for operating production‑grade cloud‑native platforms
o Proven experience with Microsoft Azure, including AKS and Azure DevOps tooling
o Strong expertise in Kubernetes, including cluster operations, RBAC, networking, and storage
o Hands‑on experience with container technologies such as Docker and container registries
o Proficiency with Terraform, Helm, Ansible, and PowerShell
o Experience building and operating CI/CD pipelines using Azure DevOps or equivalent tools
o Cloud‑native monitoring and observability experience using Prometheus, Grafana, and alerting pipelines
o Solid understanding of security and compliance requirements such as PCI DSS and SOC2
o Scripting skills for automation and tooling (Bash, Python, PowerShell)
o Practical experience using Git for version control
o Excellent communication skills in English (Spanish is a plus)
o Automation‑first mindset and strong collaboration skills within Agile teams
Good to know
Principles of Agile Software Development.
· GitHub Actions, GitLab CI, Jenkins, Azure DevOps
· Containers: Docker, Kubernetes (EKS / AKS / GKE)
· Configuration Management: Ansible









