Asks for

The ad says“Deep hands-on experience with Infrastructure as Code (IaC) tools: Terraform (preferred), AWS CloudFormation, Azure Bicep/ARM, and Ansible.”
The ad says“Deep hands-on experience with Infrastructure as Code (IaC) tools: Terraform (preferred), AWS CloudFormation, Azure Bicep/ARM, and Ansible.”
The ad says“Experience with observability and monitoring stacks (CloudWatch, Azure Monitor, Google Operations, Datadog, Prometheus/Grafana, ELK/EFK stack).”
The ad says“Deep hands-on experience with Infrastructure as Code (IaC) tools: Terraform (preferred), AWS CloudFormation, Azure Bicep/ARM, and Ansible.”
The ad says“12 + years of progressive experience in cloud architecture, engineering, and operations, with at least 4 years in a senior or lead Cloud Architect role.”
The ad says“Strong background in cloud networking: (VPCs, VNets, subnets, transit gateways, peering, private links, Direct Connect/ExpressRoute, Firewalls, security groups, WAF, and private API gateways).”
The ad says“Deep hands-on experience with Infrastructure as Code (IaC) tools: Terraform (preferred), AWS CloudFormation, Azure Bicep/ARM, and Ansible.”
The ad says“Experience with observability and monitoring stacks (CloudWatch, Azure Monitor, Google Operations, Datadog, Prometheus/Grafana, ELK/EFK stack).”
The ad says“Experience with observability and monitoring stacks (CloudWatch, Azure Monitor, Google Operations, Datadog, Prometheus/Grafana, ELK/EFK stack).”
The ad says“Experience with observability and monitoring stacks (CloudWatch, Azure Monitor, Google Operations, Datadog, Prometheus/Grafana, ELK/EFK stack).”
The ad says“Proven expertise with Generative AI infrastructure, including: Production-ready Retrieval-Augmented Generation (RAG) pipelines, Scalable vector databases (e.g., Pinecone, Weaviate, Milvus, FAISS, or managed services) with indexing, clustering, and optimized retrieval, GPU/TPU compute clusters, managed container orchestration (Kubernetes/EKS/AKS/GKE), and auto-scaling for large language model (LLM) workloads.”
The ad says“Experience with observability and monitoring stacks (CloudWatch, Azure Monitor, Google Operations, Datadog, Prometheus/Grafana, ELK/EFK stack).”
The ad says“Deep hands-on experience with Infrastructure as Code (IaC) tools: Terraform (preferred), AWS CloudFormation, Azure Bicep/ARM, and Ansible.”
The ad says“Proven expertise with Generative AI infrastructure, including: Production-ready Retrieval-Augmented Generation (RAG) pipelines, Scalable vector databases (e.g., Pinecone, Weaviate, Milvus, FAISS, or managed services) with indexing, clustering, and optimized retrieval, GPU/TPU compute clusters, managed container orchestration (Kubernetes/EKS/AKS/GKE), and auto-scaling for large language model (LLM) workloads.”
The ad says“Experience with observability and monitoring stacks (CloudWatch, Azure Monitor, Google Operations, Datadog, Prometheus/Grafana, ELK/EFK stack).”
The ad says“Experience with observability and monitoring stacks (CloudWatch, Azure Monitor, Google Operations, Datadog, Prometheus/Grafana, ELK/EFK stack).”
The ad says“Proven expertise with Generative AI infrastructure, including: Production-ready Retrieval-Augmented Generation (RAG) pipelines, Scalable vector databases (e.g., Pinecone, Weaviate, Milvus, FAISS, or managed services) with indexing, clustering, and optimized retrieval, GPU/TPU compute clusters, managed container orchestration (Kubernetes/EKS/AKS/GKE), and auto-scaling for large language model (LLM) workloads.”
The ad says“Deep hands-on experience with Infrastructure as Code (IaC) tools: Terraform (preferred), AWS CloudFormation, Azure Bicep/ARM, and Ansible.”
The ad says“Proven expertise with Generative AI infrastructure, including: Production-ready Retrieval-Augmented Generation (RAG) pipelines, Scalable vector databases (e.g., Pinecone, Weaviate, Milvus, FAISS, or managed services) with indexing, clustering, and optimized retrieval, GPU/TPU compute clusters, managed container orchestration (Kubernetes/EKS/AKS/GKE), and auto-scaling for large language model (LLM) workloads.”

Looking for an opportunity to make an impact?

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers’ success.

We empower our teams, contribute to our communities, and operate sustainable. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Our Mission, Vision, and Values guide the way we do business.

If this sounds like the kind of environment where you can thrive, keep reading!

The Digital Modernization Sector brings together our digital transformation and IT programs, allowing us to better serve our customers through scale and repeatability.

(Group Profile/Link to Group page) - https://www.leidos.com/capabilities/digital-modernization

Your Next Great Adventure Awaits!

Leidos is seeking a highly skilled Cloud Architect / Engineer to design, implement, optimize, and maintain enterprise cloud infrastructure across multiple platforms. In this role, the candidate will play a critical part in ensuring high availability, security, performance, scalability, and cost-efficiency of ATR’s cloud environments. The candidate will collaborate with cross-functional teams to support business growth, drive cloud adoption, and proactively address infrastructure challenges in a fast-paced, hybrid/multi-cloud environment.

Key Responsibilities:

Drive the enterprise technology vision by defining long-term strategic blueprints and engineering standards supporting the implementation of cloud technologies like: Generative AI applications and production-ready RAG pipelines, Scalable vector database indexing, clustering, and retrieval pipelines to optimize vector search, Scalable GPU/TPU compute clusters, managed container services, and automated auto-scaling for LLM workloads, Private cloud networks, secure API gateways, and dedicated endpoints to isolate AI traffic from the public internet, Applications leveraging modern microservices and APIs.
Design and implement scalable, secure, and resilient hybrid cloud architectures; using cloud-agnostic tools and processes.
Architect and manage core cloud networking components (VPCs, VNets, subnets, transit gateways/peering, firewalls, private links, Direct Connect/ExpressRoute, etc.).
Implement Infrastructure as Code (IaC) using tools such as Terraform, CloudFormation, Bicep, ARM, and Ansible to automate provisioning and configuration management.
Implement comprehensive cloud security controls, compliance frameworks (SOC 2, ISO 27001, HIPAA, PCI-DSS, CMMC, etc.), encryption, security groups, WAF, and monitoring for threats and misconfigurations.
Develop and implement processes to optimize cost and utilization through resource tagging, rightsizing, reserved instances/savings plans, and continuous cost analysis.
Set up and maintain monitoring, logging, and observability solutions using tools like CloudWatch, Azure Monitor, Google Operations, Datadog, Prometheus/Grafana, or ELK stack.
Support disaster recovery, high availability, and business continuity strategies, including backup/restore, failover architectures, and regular DR testing.
Collaborate with Network, Security, Application Development, and Operations teams on cloud-related projects, incident response, and architecture reviews.

Required Qualifications:

Bachelor’s degree in Computer Science, Information Technology, Engineering, OR a related field and 12 + years of relevant experience OR Masters degree with 10 + years of relevant experience . Additional years of experience will be considered/accepted in lieu of a degree.
12 + years of progressive experience in cloud architecture, engineering, and operations, with at least 4 years in a senior or lead Cloud Architect role.
Strong experience designing and implementing hybrid/multi-cloud environments (AWS, Azure, Google Cloud) at enterprise scale.
Proven expertise with Generative AI infrastructure, including: Production-ready Retrieval-Augmented Generation (RAG) pipelines, Scalable vector databases (e.g., Pinecone, Weaviate, Milvus, FAISS, or managed services) with indexing, clustering, and optimized retrieval, GPU/TPU compute clusters, managed container orchestration (Kubernetes/EKS/AKS/GKE), and auto-scaling for large language model (LLM) workloads.
Deep hands-on experience with Infrastructure as Code (IaC) tools: Terraform (preferred), AWS CloudFormation, Azure Bicep/ARM, and Ansible.
Strong background in cloud networking: (VPCs, VNets, subnets, transit gateways, peering, private links, Direct Connect/ExpressRoute, Firewalls, security groups, WAF, and private API gateways).
Demonstrated experience implementing enterprise security and compliance frameworks (SOC 2, ISO 27001, HIPAA, PCI-DSS, CMMC, FedRAMP, etc.), including encryption, threat monitoring, and zero-trust architectures.
Experience with observability and monitoring stacks (CloudWatch, Azure Monitor, Google Operations, Datadog, Prometheus/Grafana, ELK/EFK stack).
Proven track record in cost optimization (tagging, rightsizing, Reserved Instances, Savings Plans) and disaster recovery/business continuity planning.
Excellent collaboration and communication skills; ability to work with cross-functional teams (Network, Security, Dev, Ops) in a fast-paced environment.
U.S. Citizenship required.
Ability to obtain and maintain a Public Trust.

Preferred Qualifications:

Experience leading cloud adoption and defining long-term strategic technology roadmaps.
Hands-on work with microservices architectures, modern APIs, and secure private cloud networking for AI workloads.
Familiarity with containerization (Docker, Kubernetes) and serverless technologies.

Desired Certifications (one or more preferred; multiple strongly encouraged):

Microsoft Certified: Azure Solutions Architect Expert.
HashiCorp Certified: Terraform Associate.
Certified Kubernetes Administrator (CKA) or Certified Kubernetes Application Developer (CKAD).
Azure Security Engineer Associate.

Please Note: The program budget salary for this role could fall anywhere between mid $150,000 to low/mid $170,000 with a slight wiggle room (no guarantees) based on relevant experience and assessment. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

Remote Interview / Identification Notice

**** Please be advised that during the interview, you will be required to keep your camera on, and your interviewer will be taking your picture for identification purposes if an offer letter is extended to you.

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.

Original Posting:

September 11, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:

Pay Range $131,300.00 - $237,350.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.