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Leads complex enterprise technology projects from planning through delivery, managing teams, vendors, stakeholders, risks, budgets, schedules, quality, and governance. Facilitates requirements workshops, translates technical needs into business outcomes, applies hybrid, waterfall, Agile, Scrum, Kanban, and DevOps methodologies, and drives strategic client outcomes. The role focuses on Azure infrastructure, data, or security projects and requires onsite client engagement when needed.

Lead client engagements involving Azure cloud and DevOps assessments, architecture, solution design, implementation, automation, and optimization. Deliver proofs of concept, workshops, cloud adoption activities, technical reporting, and cost estimates. Advise clients on scalable, secure, reliable Azure solutions using Terraform, IaC, scripting, and DevOps practices. Contribute to hiring, mentor consultants, and influence governance, processes, and documentation across the practice.

Lead end-to-end Azure platform and automation initiatives, designing secure and scalable cloud solutions. Develop Infrastructure as Code with Terraform, manage AKS and Helm deployments, build CI/CD pipelines, and advise senior stakeholders on architecture. Produce engineering documentation, support planning and risk management, mentor engineers, assist onboarding and hiring, and help improve team capability. The role requires strong Azure, Kubernetes, automation, networking, identity, security, and cloud governance expertise.

Lead Azure Cloud and DevOps engineering engagements, including architecture, solution design, modernization, governance, automation, managed services, and technical delivery. Advise clients, conduct workshops, develop proofs of concept, support presales, estimate and plan projects, and communicate with senior stakeholders. Provide technical leadership through mentoring, onboarding, documentation, process improvement, and implementation of secure, scalable Azure solutions.

Leads Azure-based data engineering engagements, including architecture, implementation, assessments, ingestion frameworks, data warehousing, analytics, and proof-of-concepts. Advises clients, presents to executives, supports presales, conducts workshops, reviews architectures, and contributes to delivery planning. Provides technical leadership through mentoring, hiring, onboarding, and engineering best-practice development.

Lead enterprise Microsoft security engagements from strategy and architecture through delivery and operational handover. Design and implement Sentinel, Defender, Azure, identity, Zero Trust, Purview, endpoint, DevSecOps, and security automation solutions. Advise senior client stakeholders, lead workshops and threat modeling, develop security roadmaps, support pre-sales, create reference architectures, and mentor security professionals.

Lead enterprise AI strategy, architecture, sales, and delivery across Agentic AI, GenAI, RAG, MLOps, and Azure platforms. Advise clients, define scalable architectures and roadmaps, oversee technical delivery and risk, support presales, mentor consultants, develop practice standards, and establish governance, security, compliance, and responsible AI practices.

Leads end-to-end Azure platform and DevOps initiatives, including architecture, Infrastructure as Code, CI/CD, AKS, automation, networking, security, identity, governance, and integrations. Provides technical guidance to clients and senior stakeholders, creates engineering documentation, supports planning and risk management, and mentors engineers while helping improve team standards and capabilities.

Design, implement, support, and optimize complex Microsoft Azure cloud and DevOps solutions. Responsibilities include infrastructure automation, infrastructure as code, CI/CD pipelines, Azure networking, security, governance, high availability, Kubernetes, and post-implementation support. The role partners with architects, consultants, engineers, and business stakeholders to deliver client engagements, recommend improvements, and identify growth opportunities.

Own full-stack software delivery from architecture through production support. Build React and TypeScript interfaces, Python APIs, PostgreSQL data models, Azure deployments, and AI-powered applications using LLMs, RAG, agents, evaluation, and guardrails. Collaborate with consultants, architects, clients, and non-engineers to deliver solutions, while mentoring developers and maintaining high standards for testing, observability, reviews, and operational ownership.