Technical Architect

iVedha Inc. is a technology partner focused on helping organizations navigate and lead in the digital future. The company specializes in AI, Platform Engineering, and Professional & Managed Services, collaborating closely with clients to drive transformative change. iVedha applies cutting-edge solutions to improve operational efficiency and build scalable, resilient platforms that support long-term growth. Team members work with forward-thinking organizations that aim to stay ahead in a rapidly evolving digital landscape. Joining iVedha means contributing to innovative projects that shape the future of technology.

Role Overview

We are seeking an experienced Technical Architect to lead the design, architecture, and implementation of enterprise technology solutions supporting digital transformation initiatives. The role requires expertise in cloud platforms, infrastructure, AI, enterprise applications, integration, DevOps, security, and automation while providing hands-on technical leadership across the solution lifecycle.

Key Responsibilities:

Solution Architecture

• Design scalable, secure, and cloud-native enterprise solutions.
• Develop HLDs, LLDs, architecture diagrams, and technical documentation.
• Create Proof of Concepts (PoCs) and conduct architecture reviews.
• Evaluate emerging technologies and AI platforms.

Cloud & Infrastructure

• Design hybrid and multi-cloud environments (Azure, AWS, GCP).
• Lead cloud migration, infrastructure modernization, and platform transformation.
• Architect Kubernetes, Docker, VMware, OpenShift, and disaster recovery solutions.

AI & Automation

• Integrate enterprise AI solutions using LLMs and AI platforms.
• Design AI-enabled applications using APIs, RAG, AI Agents, and vector databases.
• Implement AI Operations (AIOps) and intelligent automation.

Application & Integration

• Design microservices, API-first, and event-driven architectures.
• Develop enterprise integrations using REST APIs, Kafka, IBM MQ, and middleware.
• Modernize legacy applications and support enterprise data architecture.

DevOps & Platform Engineering

• Implement Infrastructure as Code (Terraform, Ansible).
• Build CI/CD pipelines using Azure DevOps, Jenkins, GitHub Actions.
• Automate deployments using Python, PowerShell, and Bash.
• Apply DevOps, DevSecOps, GitOps, and SRE best practices.

Security & Operations

• Design secure solutions using Zero Trust, IAM, RBAC, MFA, and encryption.
• Ensure compliance with NIST, ISO 27001, PCI-DSS, HIPAA, SOC 2, and SOX.
• Support disaster recovery, business continuity, monitoring, and performance optimization.

Technical Leadership

• Lead technical design and implementation activities.
• Mentor engineering teams and conduct architecture reviews.
• Collaborate with business, infrastructure, security, and engineering stakeholders.

Requirements:

Technical Skills

• 10+ years of Technical Architecture experience.
• Enterprise Solution Architecture (HLD/LLD).
• Cloud-native, distributed, and event-driven architectures.
• AI solution integration and application modernization.

Cloud & Infrastructure

• Microsoft Azure, AWS, GCP.
• Kubernetes, Docker, OpenShift, VMware.
• Hybrid cloud, networking, storage, backup, disaster recovery.

AI Technologies

• Azure OpenAI, OpenAI, Microsoft Copilot, Claude, Gemini, Llama, Mistral.
• RAG, AI Agents, Prompt Engineering, Vector Databases, AIOps.

Integration

• REST APIs, Microservices, Kafka, IBM MQ, ESB.
• Active Directory, Azure AD, OAuth, OpenID Connect.
• SQL Server, Oracle, PostgreSQL, MongoDB.

DevOps

• Terraform, Ansible.
• Azure DevOps, Jenkins, GitHub Actions.
• Kubernetes, Docker, CI/CD.
• Python, PowerShell, Bash.

Security

• Zero Trust, IAM, RBAC, MFA, PKI.
• NIST, ISO 27001, PCI-DSS, HIPAA, SOC 2, SOX.

Observability

• ELK, Splunk, Dynatrace.
• Prometheus, Grafana, OpenTelemetry.
• Azure Monitor, AWS CloudWatch, PagerDuty, LogicMonitor.

Leadership

• Technical leadership.
• Stakeholder and vendor management.
• Risk management.
• Team mentoring and technical governance.

Education

• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.

Preferred Certifications

• Microsoft Azure Solutions Architect Expert
• AWS Solutions Architect Professional
• Google Professional Cloud Architect
• Certified Kubernetes Administrator (CKA)
• Red Hat Certified Engineer (RHCE)
• Terraform Associate
• Azure AI Engineer Associate
• CISSP / CCSP
• ITIL Foundation
• TOGAF Foundation (Preferred)

Preferred Experience

• Enterprise architecture within Banking, FinTech, Insurance, Government, or other regulated industries.
• Cloud migration and infrastructure modernization.
• AI-enabled enterprise solutions.
• DevSecOps and Platform Engineering.
• Mission-critical, highly secure cloud-native environments.