Principal Consultant A2 – Infra

Embed AI-first principles into delivery workflows, leveraging automation and intelligent orchestration where applicable. Lead end-to-end delivery of complex projects, ensuring solutions are scalable, robust, and aligned with client business outcomes. Drive engineering excellence through reusable components, accelerators, and scalable architecture. Oversee technical execution across multiple projects, ensuring adherence to best practices, quality standards, and compliance requirements. Collaborate with clients and internal stakeholders to define strategies, delivery plans, milestones, and risk mitigation approaches. Ensure delivery models are optimized for modern, AI-native execution, including integration of automation and intelligent processes. Lead innovation in delivery models, reusable assets, and accelerators to enhance efficiency and impact.

Bachelor's degree in computer science, Engineering, or related field AND 3+ years leadership experience in relevant area of business. Higher Education Preferred OR master's degree in computer science, Information Technology, Engineering, or related field AND 6+ years' experience in technology solutions, practice development, architecture, consulting, and/or Cloud Infrastructure domain Highly proficient & solid Customer facing Project experience involving solution design, project envisioning, planning, development, and deployment of complex solutions with minimum of 10 plus years. Must have a proven record of delivering technical solutions. 2+ years managing multiple projects or portfolios 1+ year(s) experience leading blended, multidisciplinary teams Overall minimum 20+ Year of industry experience Technical or Professional Certification in Cloud Infrastructure domain Open to travel domestically and internationally and work with different cultures and customers Technical certifications based on domain/service line (e.g., Azure, Security, Dynamics). Delivery Management certification (e.g., Scrum, Agile). Proficiency in Python for automation, AI integration, and scripting across infra workflows Experience with Azure AI Services (AI Foundry, AI Agent services, Azure AI Search, Vision, Speech, Translation,) leveraged as infrastructure components for applications Ability to integrate OpenAI/Frontier models into cloud environments with secure and scalable infrastructure patterns (from applied AI delivery examples) Leading Deployment of Complex Multi‑Cloud Solutions (Azure, AWS, GCP): Architect and deliver enterprise‑grade deployments across Azure, AWS, and GCP with a focus on scalability, security, and performance. Lead cross‑functional engineering teams to design integrated hybrid/multi‑cloud architectures supporting diverse workload patterns. Establish governance, cost controls, and compliance guardrails across multi‑cloud environments to ensure operational consistency Azure Architecture for High Availability (HA) and Disaster Recovery (DR): Design and implement resilient Azure infrastructures leveraging availability zones, regions, and geo‑redundant services. Build robust HA/DR frameworks aligned to RTO/RPO requirements to ensure seamless business continuity. Implement automated failover, health monitoring, and recovery processes for mission‑critical workloads. Azure Landing Zone Design & Advanced Networking: Create scalable hub‑and‑spoke network architectures incorporating VNet peering, private endpoints, and secure segmentation. Implement advanced networking solutions such as ExpressRoute, Azure Firewall, and secure connectivity patterns. DevOps, Platform & Developer Productivity Strong expertise in designing and operating CI/CD pipelines using Azure DevOps and GitHub Actions, enabling automated build, test, security scanning, and deployment workflows across environments. Proven handson experience with InfrastructureasCode (IaC) using Bicep, ARM, and Terraform, leveraging GitHub Copilot to scaffold modules, generate templates, and propose secure configurations aligned with enterprise standards. Deep understanding of observability and reliability engineering, including centralized logging, metrics, distributed tracing, SLOs, and proactive alerting for production systems. Demonstrated ability to enhance developer productivity and delivery velocity through innersource practices, reusable components, reference implementations, accelerators, and automation. Experience embedding DevSecOps practices into delivery pipelines, including secure coding checks, dependency scanning, secrets management, policy enforcement, and compliance validation. Effective use of GitHub Copilot across the DevOps lifecycle, including authoring pipeline definitions, generating runbooks and release notes, assisting with PR summaries, and accelerating troubleshooting and incident response. Strong grasp of platform engineering principles, building pavedroad solutions and selfservice capabilities that balance speed, governance, and operational excellence. Ability to continuously improve engineering throughput, quality, and system reliability, while maintaining enterprise security and compliance expectations. Lead technical solutioning, estimations, and support architecture design during pre-sales and delivery shaping Translate business outcomes into clear architecture, execution plans, and risk mitigation strategies Influence technical direction across multiple teams and engagements Act as a trusted advisor to clients and internal leadership Strong troubleshooting and production support expertise, including performance, reliability, and security issues Sidebyside coding with customer engineering teams to unblock deployments and accelerate time to value Outcome driven engineering focused on business impact, not activity Building reusable assets, accelerators, and reference implementations Comfortable operating in ambiguous, high-pressure environments with senior customer stakeholders Ability to interact confidently with senior leaders and clients. Ensure adherence to coding standards, architectural integrity, and performance benchmarks. Support pre-sales and solutioning efforts with estimations, proof-of-concepts, and technical proposals. Build and maintain strong client relationships, ensuring high levels of satisfaction and value delivery. Ensure secure, compliant, and reliable solution delivery through secure coding, testdriven development, observability, design reviews, and quality gates across all engagements. Provide strategic guidance and execution oversight to ensure alignment with organizational goals. Apply container security best practices including image scanning, secrets management, RBAC, and runtime compliance controls. Architect secure containerized environments aligned to cloud design principles and Zero Trust foundations. Ensure governance, policy enforcement, and continuous compliance across containerized workloads. Implement Azure Monitor, Log Analytics, Sentinel, and Defender tools for comprehensive observability and security. Architect and manage enterprise‑grade AKS clusters with strong focus on scalability, networking, and access controls. Implement container orchestration best practices for secure, resilient, and high‑performing microservices deployments. Build reusable, automated Infrastructure‑as‑Code (IaC) frameworks using Terraform, Bicep, PowerShell, and Azure CLI. Implement CI/CD‑driven infrastructure pipelines ensuring consistent, version‑controlled, and auditable deployments. GitHub Certified: GitHub Copilot Professional (GHCP / GH300) Certified Kubernetes Application Developer (CKAD)