Overview
On Site
USD 200,001.00 - 240,000.00 per year
Full Time
Skills
Software Development
Adobe AIR
Data Analysis
Application Development
Use Cases
Amazon Web Services
Management
Kubernetes
Amazon EKS
Nexus
Training
Terraform
Continuous Integration
Continuous Delivery
GitLab
Collaboration
Cyber Security
Computer Science
DoD
Security Clearance
Security+
Cloud Computing
Data Science
Prompt Engineering
Artificial Intelligence
Machine Learning (ML)
Data Processing
Python
Apache Framework
Apache Kafka
Apache Accumulo
Apache ZooKeeper
Apache Hadoop
HDFS
Relational Databases
PostgreSQL
Microsoft SQL Server
Oracle
Servers
GeoServer
Information Technology
Systems Engineering
FOCUS
Job Details
Job ID: 2511279
Location: HONOLULU, HI, US
Date Posted: 2025-11-03
Category: Information Technology
Subcategory: Cloud Comp Engr
Schedule: Full-time
Shift: Day Job
Travel: Yes, 10 % of the Time
Minimum Clearance Required: Secret
Clearance Level Must Be Able to Obtain: Top Secret
Potential for Remote Work: Yes
Description
SAIC is seeking a mission-focused Senior Cloud AI/ML Integration Engineer to support the Air Operations Center Weapons System (AOC WS) Falconer program in modernizing, securing, scaling, and integrating cloud-based infrastructure and AI/ML workloads. The ideal candidate combines deep technical expertise in AWS, Kubernetes, and containerization with strong software development and AI/ML integration skills, and the ability to communicate effectively with both technical and non-technical stakeholders, including subject matter experts (SMEs), USAF personnel, and various partners.
SAIC is seeking a mission-focused AWS Cloud Engineer to support the Air Operations Center Weapons System (AOC WS) Falconer program in modernizing, securing, scaling, and integrating cloud-based infrastructure and AI/ML workloads. The ideal candidate combines deep technical expertise in AWS, Kubernetes, and containerization with strong software development and AI/ML integration skills, and the ability to communicate effectively with both technical and non-technical stakeholders, including subject matter experts (SMEs), USAF personnel, and various partners.
As part of a multidisciplinary team supporting the Department of Defense (DoD), you will design, implement, and maintain secure, compliant, and automated cloud environments that enable AI-driven capabilities for Air Force missions.
Roles and Responsibilities:
Lead the implementation and integration of AI/ML technologies to support the AOC WS Falconer Program.
Conduct data analysis and dataset management of C2 or non-C2 AOC-related data elements to support AI application development and integration.
Integrate a wide variety of C2 and non-C2 data sources including legacy applications to support use cases for AI/ML applications.
Develop, test, and validate models and applications to ensure accuracy and reliability.
Design and deploy secure AWS resources that comply with DoD Cloud Computing SRG (Impact Level 6) and Zero Trust principles.
Implement and manage containerized workloads using Kubernetes (Amazon EKS) and container registries (such as ECR, Harbor, or Nexus).
Integrate and optimize AI/ML workloads and LLM-based applications, including model training, inference, and data pipelines.
Develop and maintain Infrastructure-as-Code (IaC) using tools such as Terraform, CloudFormation, or CDK for repeatable, compliant deployments.
Build and automate CI/CD pipelines for software and ML model delivery using tools such as GitLab.
Collaborate closely with domain experts, stakeholders, cybersecurity personnel, and developers to translate mission requirements into scalable, secure cloud architectures.
Qualifications
Required Education and Skills:
Bachelors degree in Computer Science or related technical/engineering field and five (5)+ years of related experience
Active DoD Secret Clearance with the ability to obtain a Top Secret / SCI clearance.
Current IAT Level 2 Certification (such as CompTIA Security+)
Relevant experience with cloud technologies/providers and understanding/designing scalable & secure cloud architectures for AI applications.
Relevant experience with programming (e.g., Python), data science/dataset analysis, prompt engineering & lifecycles, and production AI/Ml technologies.
Experience with data processing and integration using Python
Experience with Apache tools and technologies such as Kafka, Accumulo, Zookeeper, Hadoop/HDFS, and Fluo
Experience with relational databases such as PostgreSQL, Microsoft SQL Server, and Oracle
Experience with map servers such as Tileserver, Geoserver, etc.
Experience with metrics monitoring and alerting systems such as Prometheus
Target salary range: $200,001 - $240,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.
Location: HONOLULU, HI, US
Date Posted: 2025-11-03
Category: Information Technology
Subcategory: Cloud Comp Engr
Schedule: Full-time
Shift: Day Job
Travel: Yes, 10 % of the Time
Minimum Clearance Required: Secret
Clearance Level Must Be Able to Obtain: Top Secret
Potential for Remote Work: Yes
Description
SAIC is seeking a mission-focused Senior Cloud AI/ML Integration Engineer to support the Air Operations Center Weapons System (AOC WS) Falconer program in modernizing, securing, scaling, and integrating cloud-based infrastructure and AI/ML workloads. The ideal candidate combines deep technical expertise in AWS, Kubernetes, and containerization with strong software development and AI/ML integration skills, and the ability to communicate effectively with both technical and non-technical stakeholders, including subject matter experts (SMEs), USAF personnel, and various partners.
SAIC is seeking a mission-focused AWS Cloud Engineer to support the Air Operations Center Weapons System (AOC WS) Falconer program in modernizing, securing, scaling, and integrating cloud-based infrastructure and AI/ML workloads. The ideal candidate combines deep technical expertise in AWS, Kubernetes, and containerization with strong software development and AI/ML integration skills, and the ability to communicate effectively with both technical and non-technical stakeholders, including subject matter experts (SMEs), USAF personnel, and various partners.
As part of a multidisciplinary team supporting the Department of Defense (DoD), you will design, implement, and maintain secure, compliant, and automated cloud environments that enable AI-driven capabilities for Air Force missions.
Roles and Responsibilities:
Lead the implementation and integration of AI/ML technologies to support the AOC WS Falconer Program.
Conduct data analysis and dataset management of C2 or non-C2 AOC-related data elements to support AI application development and integration.
Integrate a wide variety of C2 and non-C2 data sources including legacy applications to support use cases for AI/ML applications.
Develop, test, and validate models and applications to ensure accuracy and reliability.
Design and deploy secure AWS resources that comply with DoD Cloud Computing SRG (Impact Level 6) and Zero Trust principles.
Implement and manage containerized workloads using Kubernetes (Amazon EKS) and container registries (such as ECR, Harbor, or Nexus).
Integrate and optimize AI/ML workloads and LLM-based applications, including model training, inference, and data pipelines.
Develop and maintain Infrastructure-as-Code (IaC) using tools such as Terraform, CloudFormation, or CDK for repeatable, compliant deployments.
Build and automate CI/CD pipelines for software and ML model delivery using tools such as GitLab.
Collaborate closely with domain experts, stakeholders, cybersecurity personnel, and developers to translate mission requirements into scalable, secure cloud architectures.
Qualifications
Required Education and Skills:
Bachelors degree in Computer Science or related technical/engineering field and five (5)+ years of related experience
Active DoD Secret Clearance with the ability to obtain a Top Secret / SCI clearance.
Current IAT Level 2 Certification (such as CompTIA Security+)
Relevant experience with cloud technologies/providers and understanding/designing scalable & secure cloud architectures for AI applications.
Relevant experience with programming (e.g., Python), data science/dataset analysis, prompt engineering & lifecycles, and production AI/Ml technologies.
Experience with data processing and integration using Python
Experience with Apache tools and technologies such as Kafka, Accumulo, Zookeeper, Hadoop/HDFS, and Fluo
Experience with relational databases such as PostgreSQL, Microsoft SQL Server, and Oracle
Experience with map servers such as Tileserver, Geoserver, etc.
Experience with metrics monitoring and alerting systems such as Prometheus
Target salary range: $200,001 - $240,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.