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Remote Aws Govcloud Jobs in Alabama (NOW HIRING)

Zaden Tech

Technical Product Manager

Huntsville, AL · On-site +1

$164K - $190K/yr

This position is either hybrid in Huntsville, Alabama or Remote w/ 10-20% travel. Role ... Cloud platform experience with AWS or Azure (GovCloud a plus) * Master\'s degree in a technical ...

All JobsAws Govcloud JobsRemote Aws Govcloud JobsRemote Aws Govcloud Jobs in Alabama

Remote Aws Govcloud information

What is the difference between Remote Aws Govcloud vs Remote Aws Cloud Engineer?

AspectRemote Aws GovcloudRemote Aws Cloud Engineer
CertificationsAWS Certified Solutions Architect, AWS Certified Security SpecialtyAWS Certified Solutions Architect, AWS Certified Developer
Work EnvironmentGovernment agencies, regulated industries, secure cloud environmentsCommercial cloud environments, startups, tech companies
Employer & Industry UsageFederal government, defense, healthcarePrivate sector, tech firms, enterprises
Search & Comparison IntentUnderstanding specialized cloud roles in governmentGeneral cloud engineering roles in AWS

Remote Aws Govcloud professionals focus on secure, compliant cloud solutions for government and regulated sectors, often requiring security certifications. Remote Aws Cloud Engineers work across various industries, developing and maintaining cloud infrastructure in commercial environments. While both roles involve AWS expertise, Govcloud roles emphasize security and compliance, whereas Cloud Engineers focus on scalable cloud solutions for business needs.

What are some common challenges faced by professionals working remotely with AWS GovCloud environments?

Working remotely with AWS GovCloud often involves navigating strict compliance requirements and maintaining secure access to sensitive government data. Professionals may encounter challenges such as ensuring secure VPN connections, managing multi-factor authentication, and staying updated on evolving federal regulations. Collaboration with cross-functional teams can also require extra coordination due to access controls and segmented environments. It’s important to be proactive with communication and stay current on AWS GovCloud best practices to ensure both security and productivity.

What are the key skills and qualifications needed to thrive as a remote AWS GovCloud engineer?

To thrive as a Remote AWS GovCloud Engineer, you need expertise in cloud architecture, networking, and security within AWS environments, often backed by a degree in computer science or a related field and AWS certifications. Familiarity with AWS GovCloud services, compliance frameworks like FedRAMP, and tools such as CloudFormation, IAM, and monitoring systems is crucial. Strong problem-solving abilities, communication skills, and a detail-oriented mindset set standout professionals apart in this role. These skills ensure secure, compliant, and efficient cloud solutions for sensitive government workloads.

What is a Remote AWS GovCloud?

A Remote AWS GovCloud job involves working with Amazon Web Services (AWS) GovCloud, a specialized cloud platform designed to meet stringent U.S. government security and compliance requirements. Professionals in these roles typically manage cloud infrastructure, ensure data security, and support government clients, all while working remotely. These positions require knowledge of cloud computing concepts, AWS services, and federal compliance standards such as FedRAMP or ITAR. Remote AWS GovCloud jobs can include roles like cloud architect, DevOps engineer, security analyst, and cloud administrator.
What are popular job titles related to Remote Aws Govcloud jobs in Alabama? For Remote Aws Govcloud jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Remote Aws Govcloud jobs in Alabama look for? The top searched job categories for Remote Aws Govcloud jobs in Alabama are:
Remote Aws Govcloud jobs near you
Infographic showing various Remote Aws Govcloud job openings in Alabama as of August 2026, with employment types broken down into 89% Full Time, 1% Part Time, and 10% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution.

AI/ML Software Engineer

Frontier Technology Inc.

Huntsville, AL • Remote

Full-time

Re-posted 13 days ago

Job description

Overview

FTI Defense is seeking an AI/ML Software Engineer to design, build, and deploy secure, scalable software and data systems that support mission operations, analytics, and simulation environments. This role is for a hands-on engineer and someone who loves writing code, building systems end-to-end, and solving real-world technical challenges in secure, distributed environments.

FTI Defense delivers mission-focused solutions to the Department of Defense (DoD/DoW) and Intelligence Community (IC) through advanced engineering, digital transformation, and program execution expertise. We help our customers solve complex challenges by integrating people, process, and technology.

Responsibilities

Software Design & Development

  • Design and implement APIs, data pipelines, and simulation runtime logic that connect and enable mission applications.
  • Develop software using modern programming languages such as Java, Python, C++, or TypeScript/Angular.
  • Write clean, testable, and maintainable code following secure coding and software engineering best practices.
  • Build and integrate modular microservices to improve scalability, maintainability, and interoperability.

Cloud & Containerized Environments

  • Build and deploy containerized, cloud-native services using Docker, Kubernetes, and CI/CD pipelines (GitLab, Jenkins, or equivalent).
  • Implement Infrastructure-as-Code and automation scripts to accelerate deployment and configuration management.
  • Contribute to secure deployments across hybrid or disconnected environments (IL4-IL6, AWS GovCloud, or on-prem).

Systems Integration & Distributed Computing

  • Develop distributed systems and data integration frameworks using message buses such as Kafka or Redis.
  • Engineer data flow between analytic, AI, and simulation components to support real-time mission use cases.
  • Collaborate with system engineers and architects to ensure interoperability across software ecosystems.

Data & Analytics Integration

  • Build and manage databases (PostgreSQL, MongoDB, graph DBs) and model complex data relationships.
  • Develop data services that feed analytics pipelines or integrate AI/ML outputs into runtime systems.
  • Work with serialization and exchange formats such as JSON, Protobuf, GeoJSON, or KML.

Security, Testing & Sustainment

  • Write, test, and deploy software within secure or classified environments.
  • Automate testing and monitoring to ensure performance, reliability, and repeatable deployments.
  • Support the transition of prototypes to operational systems, focusing on maintainability and observability.
Education/Qualifications

Minimum Requirements:

  • Must be a U.S. citizen and be willing to obtain and maintain a security clearance, as needed.
  • 6-10+ years of professional software engineering experience.
  • 3+ years of professional experience with DevSecOps, Zero-Trust, or ATO/RMF processes in Department of Defense (DoD/DoW) environments.
  • Strong full-stack or systems engineering background.
  • Proficiency in one or more of the following languages: Java, Python, C++, or TypeScript/Angular.
  • Experience building containerized, cloud-native solutions using Docker, Kubernetes, and CI/CD pipelines.
  • Complete understanding of distributed systems and message buses (Kafka, Redis, etc.).
  • Experience developing or integrating analytics and AI models into production systems.

 Preferred Qualifications:

  • Experience deploying code in IL4-IL6 or edge/disconnected environments.
  • Familiarity with databases such as PostgreSQL, MongoDB, or graph databases.
  • Knowledge of Infrastructure-as-Code (Terraform, CloudFormation, or CDK).
  • Bachelor's degree in Computer Science, Software Engineering, or a related technical field.
  • Active Secret clearance preferred; ability to obtain one is required.

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Employment Type: FULL_TIME

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