Platform Architect

Experience: 12-20 Years

Location: Hyderabad

Work from Office

Notice Period: Immedaite - 15 Days Joiners

About Us:

SID Global Solutions is a premier AI-first digital transformation company, delivering intelligent full-stack solutions and services worldwide. We specialize in embedding AI across the enterprise to accelerate transformation, modernize technology, and unlock new revenue streams. Our core expertise spans AI-powered modernization, cloud and infrastructure solutions, application innovation, and advanced data analytics. As a leading Google Apigee implementation partner, we also bring you SAMi-Smart API Monetization Platform our flagship platform for API management. With a global footprint and 1000+ professionals, SID Global Solutions is committed to building a smarter, AI-driven future through innovation and impact.

Job Summary

We are looking for a highly skilled Platform Lead / Architect with strong expertise in Kubernetes administration, Microservices Architecture, Cloud Platforms, and Containerization technologies. The candidate will be responsible for designing, implementing, and managing scalable platform solutions across on-premises and cloud environments, with a strong focus on Kubernetes (K8s), GCP, DevOps, and modern application modernization practices.

The ideal candidate should have hands-on experience in Kubernetes cluster management, containerized application deployment, microservices transformation, platform engineering, and cloud-native architecture.

Key Responsibilities

Platform & Cloud Architecture

• Design and implement scalable, secure, and highly available platform architectures.
• Lead cloud-native transformation initiatives using Kubernetes and Microservices.
• Define enterprise platform standards, governance, and best practices.
• Architect hybrid infrastructure solutions across On-Premises and Cloud environments.

Kubernetes & Containerization

• Manage and administer Kubernetes (K8s) clusters in On-Premises and Cloud environments.
• Configure and maintain Kubernetes networking, ingress, storage, security, and monitoring.
• Containerize applications using Docker and deploy them into Kubernetes environments.
• Implement auto-scaling, load balancing, failover, and disaster recovery solutions.

Microservices Architecture

• Lead Microservices Architecture implementation and modernization programs.
• Design REST APIs and service communication strategies.
• Implement service discovery, API gateways, and distributed configuration management.
• Support application decomposition from monolithic to microservices architecture.

GCP & Cloud Technologies

• Work on Google Cloud Platform (GCP) services including:
• GKE
• Compute Engine
• Cloud Storage
• IAM
• VPC
• Cloud Monitoring
• Design cloud migration and cloud optimization strategies.
• Implement Infrastructure as Code (IaC) using Terraform or similar tools.

DevOps & Automation

• Build and maintain CI/CD pipelines using Jenkins, GitLab CI/CD, or similar tools.
• Automate deployments, monitoring, and infrastructure provisioning.
• Implement DevSecOps and security best practices.
• Enable observability using Prometheus, Grafana, ELK, or similar monitoring tools.

Leadership & Stakeholder Management

• Lead technical teams and mentor engineers on cloud-native technologies.
• Collaborate with Development, Infrastructure, Security, and Business teams.
• Drive technical discussions, architecture reviews, and solution planning.
• Provide technical leadership during production incidents and critical escalations.

Required Skills

Mandatory Skills

• Kubernetes Administration (Certified Kubernetes Administrator CKA)
• Kubernetes Cluster Management
• Microservices Architecture
• Docker & Containerization
• GCP Cloud Platform
• CI/CD Pipelines
• Linux Administration
• Infrastructure Automation
• Platform Engineering
• On-Premises Infrastructure Management

Good to Have

• Service Mesh (Istio)
• Helm Charts
• Terraform
• ArgoCD
• API Gateway
• SRE Concepts
• Monitoring Tools (Prometheus/Grafana)
• Security & Compliance Practices

Qualifications

• Bachelors Degree in Computer Science, Engineering, or related field.
• Kubernetes Certifications such as CKA/CKAD preferred.
• GCP Certifications are an added advantage.