The National Office, a key Strategic Enabler in our new model, is comprised of professionals with various areas of focus that collectively provide mission critical services to support Deloitte’s overall success. Whether focused on project financial, quality and risk management, methods and tools, sales excellence, talent, leadership support, or other activities these professionals ensure that our Firm operates efficiently, and our people are able to effectively serve clients every day.
Position Summary
Level: Consultant
As an experienced Consultant at Deloitte Consulting, you will be responsible for individually delivering high quality work products within due timelines. Need-basis you will be mentoring and/or directing junior team members/liaising with onsite/offshore teams to understand the functional requirementsWork you’ll do
Do you have a passion for cloud technology, AI/ML infrastructure, and solving complex challenges? Do you want to help teams deliver cutting-edge solutions leveraging Azure and advanced AI/ML platforms? Do you enjoy collaborating with a diverse team of professionals? Our Engineering team leverages state-of-the-art tools and technologies to enable multiple teams to deliver high-quality solutions to our customers.Deloitte Engineering is looking for a Senior Consultant with expertise in Azure cloud, Kubernetes, and AI/ML infrastructure to help our teams build and operate secure, scalable, and innovative cloud-based solutions. You will shape and deliver on our asset strategy by performing the following tasks:
- Lead the creation and configuration of Azure accounts and subscriptions for complex project environments.
- Oversee user access management and assignment to GPVPN policies for secure subscription management (e.g., ZoraIAI).
- Architect, implement, and troubleshoot Azure Virtual Networks (VNets) and secure connectivity to on-premises DGX environments.
- Design and deploy Azure Kubernetes Service (AKS) clusters, including clusters with Nvidia H100 GPU support using Key Management Service (KMS).
- Set up and maintain KMS and LLM Gateway for secure AI/ML workload deployment.
- Direct the deployment of applications and AI/ML modules on AKS and KMS using ArgoCD.
- Manage access to ArgoCD URLs and oversee deployment pipelines.
- Lead deployment and optimization of LLM modules on LLM Gateway and DGX on-premises infrastructure.
- Oversee configuration and integration of Azure services (API Management, VMs, Okta ASA) in accordance with AEF standards.
- Lead troubleshooting efforts for network, KMS, LLM Gateway, and DGX on-premises issues.
- Provide advanced technical support and mentorship to junior team members.
- Document solutions and share knowledge across teams.
The Team
Offering customer-tailored services and deep industry insights, at Deloitte Consulting LLP we help clients tackle their most complex challenges, enabling them to seize new growth opportunities, reduce costs, improve efficiencies, and stay ahead of customer demand. Developing and executing our clients’ strategic vision, we help them dramatically improve their business performance across a broad range of specialties – enterprise model design, global business services, outsourcing, real estate, and location strategy.
Our Deloitte Engineering teams are delivering innovative cloud-based solutions across a range of domains and industries (e.g., supply chain management, banking/insurance, CPG, retail, etc.). It is a fast-paced, innovative, and exciting environment. Our teams follow an agile development approach and work with the latest technologies across a wide range of cloud technologies, commercial options, and open source. We are building and bringing solutions to market which we are hosting and operating for our clients.
Qualifications
Must Have Skills/Project Experience/Certifications
- 3+ years of technology experience in enterprise cloud or hybrid infrastructure environments.
- 3+ years of hands-on experience with Azure administration, networking, and security.
- Advanced experience with Azure Kubernetes Service (AKS), KMS, and ArgoCD.
- Proven experience deploying and managing AI/ML workloads, including LLMs and GPU-based clusters (Nvidia H100 preferred).
- Experience integrating Azure services (API Management, VMs, Okta ASA) and ensuring compliance with enterprise standards.
- Bachelor’s in computer science, information technology, or similar field.
- Excellent communication skills and experience mentoring technical teams
- Strong troubleshooting and problem-solving skills for cloud and hybrid environments.
Good to Have Skills/Project Experience/Certifications
- Azure certifications (e.g., Azure Solutions Architect, Azure DevOps Engineer).
- Experience with DGX systems and hybrid cloud/on-premises environments.
- Familiarity with AEF standards and regulatory compliance.
- Experience with automation and infrastructure-as-code (e.g., Terraform, ARM templates).
- Consulting experience in a client-facing environment.
Work shift Timings: Night shift (2 pm to 11 pm IST)
Education:
Minimum of a bachelor’s degree (3 Year) within a technical field.
Location:
Hyderabad/ Bengaluru/ Kolkata/ Chennai/Pune
Our purpose
Our people and culture
Professional development
Benefits to help you thrive
At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you.
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