Generative Artificial Intelligence

Ansible Grafana FedRAMP Firewall Equities Failover PineCone Weaviate Terraform Operations Automation Innovation Resilience Kubernetes Encryption Subnetwork Scalability Market Data Multi-Cloud Autoscaling Communication Microservices Observability Private Cloud ISO/IEC 27001 Azure Monitor Cloud Security Microsoft Azure Vector Database Managed Services Computer Science Containerization Network Security Docker (Software) Incident Response Disaster Recovery Amazon CloudWatch Cloud Technologies AWS CloudFormation Amazon Web Services Business Continuity Enterprise Security Cloud Infrastructure Serverless Computing Prometheus (Software) Information Technology Digital Transformation Hybrid Cloud Computing Large Language Modeling Application Development Google Cloud Platform (GCP) Infrastructure as Code (IaC) Cloud Computing Architecture Microsoft Azure Expressroute Peering (Computer Networking) Google Kubernetes Engine (GKE) Retrieval Augmented Generation Generative Artificial Intelligence Application Programming Interface (API) Payment Card Industry (PCI) Data Security Standards Microsoft Certified: Azure Solutions Architect Expert Health Insurance Portability And Accountability Act (HIPAA) Compliance, * 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., CI/CD Ansible On Prem Equities Scripting Terraform Pipelines Operations Leadership Management Automation Mitigation Scalability Coordinating Apache Kafka Microservices Risk Analysis Issue Tracking Cloud Services Cloud Strategy Version Control Problem Solving Decision Making SAP Applications Containerization Agile Methodology Vendor Management Bill Of Materials Windows PowerShell Business Valuation Prompt Engineering Workflow Management Architectural Design IT Service Management Full Stack Development Storage Virtualization Artificial Intelligence Technical Documentation Business Transformation Software Design Patterns Google Cloud Platform (GCP) Software As A Service (SaaS) Platform As A Service (PaaS) Python (Programming Language) Service-Oriented Architecture Developing Training Materials Test-Driven Development (TDD) Security Requirements Analysis Troubleshooting (Problem Solving) Generative Artificial Intelligence Infrastructure As A Service (IaaS) Sarbanes-Oxley Act (SOX) Compliance Chef (Configuration Management Tool) Puppet (Configuration Management Tool) +0 Cloud Engineer TEKsystems

Milwaukee, WI*Remote

CI/CD Ansible Scripting Terraform Pipelines Operations Leadership Automation Kubernetes Scalability Multi-Cloud Communication Microsoft Azure Problem Solving Computer Science Google Workspace Docker (Software) Incident Response Cloud Engineering IT Infrastructure User Provisioning Business Valuation Root Cause Analysis Amazon Web Services Cloud Infrastructure Information Technology Full Stack Development Artificial Intelligence Business Transformation Bash (Scripting Language) Go (Programming Language) Containerized Application Google Cloud Platform (GCP) Python (Programming Language) Google Kubernetes Engine (GKE) Role-Based Access Control (RBAC) Troubleshooting (Problem Solving) Cloud Financial Management (FinOps) +0 Cloud PaaS (TAS) Engineer TEKsystems

Jersey City, NJ*Remote

Linux Operations Automation Virtualization Business Valuation Application Services Full Stack Development Business Transformation Product Family Engineering Platform As A Service (PaaS)

• 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., * 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.

Pay and benefits are fundamental to any career decision. That’s why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits .

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., 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., Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com .