Job Description

DevSecOps-Cloud Infrastructure Engineer

Job Description- Cloud Infrastructure Engineer

Role Overview

We are looking for a Cloud Infrastructure Engineer responsible for designing, building, deploying, and operating enterprise cloud and application infrastructure. The role will own the technical architecture and implementation of servers, virtualization, Kubernetes/OpenShift platforms, networking, storage, and application deployment environments, while working closely with technology vendors and system integrators for implementation and support.

Key Responsibilities

• Design and deploy hybrid cloud and on-prem infrastructure across AWS, VMware, Alibaba Cloud and Tencent Cloud, including GPU compute platforms.
• Architect and implement Kubernetes/OpenShift platforms, covering cluster design, sizing, HA, networking, storage, security and DR.
• Define compute, GPU, virtualization, storage, network and capacity architectures for enterprise and cloud-native workloads.
• Design application platforms using VMs, containers, Kubernetes/OpenShift and cloud-native services; support application onboarding and migration.
• Implement IaC and automation using Terraform/Ansible and CI/CD pipelines for repeatable infrastructure deployment.
• Integrate platforms with IAM, DNS, load balancers, PKI, monitoring, logging, backup and security services.
• Own HLD/LLD, architecture reviews, sizing, implementation plans, acceptance criteria and operational runbooks.
• Drive performance, resilience, security, capacity management, lifecycle upgrades, patching and technology refresh.
• Support POCs/MVPs involving cloud, GPU, Kubernetes, automation and emerging infrastructure technologies.

Vendor & Partner Management

• Act as technical owner for cloud, infrastructure and system-integration vendors.
• Evaluate and recommend solutions across AWS, VMware, Alibaba Cloud, Tencent Cloud, Kubernetes/OpenShift, GPU and virtualization.
• Review vendor HLD/LLD, configurations, deployment plans and technical deliverables.

Opportunities to learning and development and get involvement in the advanced technology projects.

• The opportunities includes learning and development in advanced technology areas such as-Agentic AI, Knowledge graph, AI security and Quantum Security.
• Agentic AI & Knowledge Graph: LangGraph, OpenAI/Azure AI Foundry, Neo4j, GraphRAG, vector databases, RAG and AI orchestration frameworks.
• AI & Quantum Security: Palo Alto AI security, NVIDIA NeMo Guardrails, IBM watsonx.governance, HSM/KMS, PKI, PQC, cryptographic discovery and crypto-agility tools.

Technical Skills

• Strong experience with Linux servers, virtualization, compute, storage, and enterprise infrastructure.
• Hands-on experience with Kubernetes and/or OpenShift; experience managing vendor-led implementations is highly desirable.
• Knowledge of private cloud, hybrid cloud, and cloud-native infrastructure.
• Experience with Docker/container platforms, Helm, Git, and CI/CD.
• Experience with Terraform, Ansible, or other Infrastructure-as-Code technologies.
• Strong understanding of networking including DNS, load balancing, routing, firewalls, VPN, ingress/egress, and network segmentation.
• Knowledge of infrastructure monitoring, logging, observability, backup, and disaster recovery
• Scripting/programming knowledge in Python, Bash, or similar languages.

Qualifications

Experience & Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Technology, or related discipline.
• 5-8 years of experience in cloud infrastructure, platform engineering, DevOps, systems engineering, or related roles.
• Proven experience in building enterprise infrastructure and deploying applications.
• Experience working with technology vendors/system integrators on infrastructure implementation projects.
• Cloud, Kubernetes, OpenShift, or infrastructure certifications are desirable.

Key Competencies

• Cloud & infrastructure architecture
• Server and platform engineering
• Kubernetes/OpenShift platform management
• Application deployment
• Infrastructure automation
• Vendor and system-integrator management
• DevSecOps and infrastructure security
• Troubleshooting and technical problem solving
• Capacity, scalability, availability and resilience
• Strong technical documentation and stakeholder management