AI-First Hybrid Cloud Platform Architect (FedRAMP)

Leidos

Gaithersburg (MD)

Hybrid

USD 131,000 - 237,000

Full time

14 days+

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Job summary

Leidos seeks a Principal Cloud & Platform Architect to join the Air Traffic Business Area, working on the L-CAP hybrid cloud platform across Gaithersburg, MD, Egg Harbor Township, NJ, or Eagan, MN. The role requires building scalable, secure, and deterministic services for government programs.

You will define IaC governance, Kubernetes strategy, FedRAMP designs, CI/CD platform services, and FinOps practices while leading platform engineering for a large dev staff. U.S. citizenship is required.

Qualifications

Bachelor's degree with 12+ years of cloud and platform engineering experience.
Expert-level cloud architecture experience with AWS or Azure GovCloud.
Production Kubernetes experience at scale (100+ nodes).
Deep Terraform/IaC expertise for enterprise infrastructure management.
Platform engineering leadership for large development organizations.
FedRAMP platform compliance and boundary design experience.
Container orchestration and microservices platform design.
Distributed systems architecture and reliability engineering.
Microservices platform design supporting hundreds of services.
Ability to obtain and maintain a Public Trust clearance; US citizenship required.
Experience supporting deterministic distributed services with strict latency and availability requirements.
Knowledge of platform engineering for safety-critical applications versus general enterprise workloads.
Ability to obtain and maintain a Public Trust.
U.S. citizenship required.
Successful completion of background investigations as required by the government customer.

Responsibilities

Design the hybrid cloud architecture spanning on-premises and cloud environments.
Define Kubernetes orchestration strategy for containerized workloads at scale.
Establish Infrastructure-as-Code (IaC) governance using Terraform.
Architect FedRAMP-compliant platform designs across multiple environments.
Design and govern CI/CD platform services for engineering teams.
Lead capacity planning and infrastructure cost modeling.
Define platform reliability standards including SLOs and SLIs.
Design multi-environment deployment strategy (dev, test, staging, production).
Oversee container orchestration patterns and service mesh architecture.
Drive cloud cost optimization and FinOps practices.
Design platform architecture to host safety-critical ATC applications with deterministic performance characteristics.
Ensure operational resilience and failover capabilities for distributed real-time ATC services across hybrid cloud deployments.
Define platform requirements for deterministic distributed services including latency guarantees and predictable resource allocation.
Champion an AI-first engineering culture by identifying and applying AI-assisted development capabilities, automation, and emerging software engineering practices.