Autonomous Systems Solution Architect Dod jobs at Amazon in United States, Arlington

In this role, you will join a team of Solutions Architects that help assure certification question accuracy for existing and new certification exams. As an AWS subject matter expert, you will advise question writers with technical expertise and acumen for exam development and provide leadership for certification exam evolution and new exam development. You will leverage your development expertise to architect and develop the next generation of certification development and delivery tools and help automate manual processes. Where applicable, you will leverage and apply AWS GenAI services to assist in maintaining certification exam integrity, detect fraud, and provide predictive analytics and improve operational efficiencyKey job responsibilities
- Participate in managing, monitoring, and developing technical certification exam questions
- Design and manage development of internal applications to support exam development, maintenance, analytics, and fraud detection
- Recommend ways to incorporate Generative AI into internal application and processes
- Maintain the technical bar for a cadre of expert technical question writers**There may be occasional travel involved for this role**AWS Global Services
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- 7+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 3+ years of design, implementation, or consulting in applications and infrastructures experience
- 5+ years of IT development or implementation/consulting in the software or Internet industries experience
- Experience with AI/ML technologies

- 5+ years of infrastructure architecture, database architecture and networking experience
- Experience with one of the following programming languages: Python, Ruby, Node.js, C#, or C++
- Experience with Amazon Bedrock or SageMaker

Key job responsibilities
• Collaborate and communicate effectively with experienced cross-disciplinary Amazonians to design, build, and operate innovative products and services that delight our customers, while participating in technical discussions to drive solutions forward.• Design and develop scalable solutions using cloud-native architectures and microservices in a large distributed computing environment.• Participate in code reviews and contribute to technical documentation.• Build and maintain resilient distributed systems that are scalable, fault-tolerant, and cost-effective.• Leverage and contribute to the development of GenAI and AI-powered tools to enhance development productivity while staying current with emerging technologies.• Write clean, maintainable code following best practices and design patterns.• Demonstrate operational excellence through monitoring, troubleshooting, and resolving production issues.A day in the life
As an intern, you will be matched to a manager and a mentor and will have the opportunity to influence the evolution of Amazon technology and lead critical projects early in your career.
As an Amazon Intern, you'll be part of a vibrant, supportive community that empowers your growth and development. You'll collaborate with interns from around the world, networking and participating in social events to broaden your perspectives. You can also join specialized groups focused on areas like sustainability to explore your diverse interests.Learning Sessions:

- Are enrolled in a Bachelor's degree or above in Computer Science, Computer Engineering, or related fields at time of application
- Knowledge of programming languages such as C/C++, Python, Java or Perl
- Knowledge of computer science fundamentals such as object-oriented design, operating systems, algorithms, data structures, and complexity analysis

- Experience from a technical internship
- Experience with distributed, multi-tiered systems, algorithms, and relational databases
- Experience in optimization mathematics such as linear programming and nonlinear optimization
- Ability to effectively articulate technical challenges and solutions
- Adept at handling ambiguous or undefined problems as well as ability to think abstractly

Application deadline: Dec 5, 2025You will provide thoughtful technical design and offer sensitivity to our customer needs in the Defense markets for cloud computing working with a truly innovative sales and business development team. You will lead efforts to capture and share best-practice knowledge amongst the AWS solution architect community. You will have the opportunity to learn from, collaborate with, and educate some of the brightest technical minds in the industry today across the breadth of enterprise architecture.
- Deep-dive technical discussions around design and the curiosity to keep your technical skills current while maintaining a pulse on industry trends
Experience in the following key areas are helpful:
- Executive Speaking and Presentation Skills – White board, small and large group presentations
- Technical – Experience with web applications services development/deployment, DevOps/DevSecOps, cloud computing, data and database architectures and analytics, or networking
- Operational – Web site/services operations, management, and securityThis position requires that the candidate selected be a US Citizen.About the team
About AWS
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 3+ years of design, implementation, or consulting in applications and infrastructures experience
- 10+ years of IT development or implementation/consulting in the software or Internet industries experience
- Associate's degree or above, or CASP+ (CompTIA Advanced Security Practitioner) or CCSP (Certified Cloud Security Professional) or Cloud+ or CSSLP (Certified Secure Software Lifecycle Professional)

- 5+ years of infrastructure architecture, database architecture and networking experience
- Experience working with end user or developer communities

In this role, you will be the Principal technical lead responsible for architecting and delivering a unified solution that addresses the growing global need for critical national assets protection. You will drive the technical strategy for a solution that transforms national security by moving from siloed, domain-specific approaches to a unified platform that coordinates responses across both physical and digital threats.This position requires that the candidate selected be a US Citizen and currently possess and maintain an active Top Secret security clearance.Key job responsibilities
Your broad responsibilities will include: leading the technical architecture for multi-source intelligence integration and digital twin technology; designing scalable, real-time command and control architectures for national security missions; architecting AI-driven threat detection and autonomous response systems; ensuring complete data sovereignty and human-in-the-loop oversight capabilities; defining implementation strategies for diverse deployment scenarios including sovereign and multi-nation collaborations and serving as the primary technical authority on advanced cloud security, edge computing, and AI/ML integration for defense applications.You will collaborate directly with military stakeholders, intelligence community leaders, and international partners to translate the most critical operational requirements into innovative technical solutions. You will lead cross-functional teams of architects, engineers, and data scientists while establishing AWS as the essential partner in national security infrastructure with capabilities no other cloud provider can match.
- Leading the architecture development of AI-driven solutions that protect national security and critical infrastructure
- Deep technical leadership in multi-domain sensor fusion, agentic AI, and real-time threat response systems
- Building solutions that adapt to complex geopolitical requirements and international collaboration frameworksAbout the team
About AWS
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- 10+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- Knowledge of distributed systems design and implementation or equivalent
- AWS certification, such as, AWS Solutions Architect, or a similar cloud certification
- Experience with military C2 systems and battle management networks
- Deep understanding of DoD networks, protocols, and security requirements
- Current, active US Government Security Clearance of Top Secret with SCI eligibility or above

- Knowledge of Zero Trust Architecture and DoD Zero Trust Reference Architecture
- Familiarity with JADC2 (Joint All-Domain Command and Control) initiatives
- Experience with AI/ML integration in operational military systems
- AWS certifications (Solutions Architect Professional, Security Specialty)
- Understanding of tactical edge computing and SATCOM integration
- Experience with containerization and microservices architecture

You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.We’re looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune state-of-the-art solutions for never-before-solved problems.Key job responsibilities
* Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate leading generative AI solutions to address real-world challenges* Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder
* Provide customer and market feedback to product and engineering teams to help define product direction
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWS
Work/Life BalanceMentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.AWS Global Services

- Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)
- 5+ years experience in designing, building, and/or operating cloud solutions in a production environment
- 4+ years experience hosting and deploying ML solutions (e.g., for training, fine tuning, and inference)
- 4+ years hands on experience with Python to build, train, and evaluate models
- 4+ years technical client engagement experience

- Masters or PhD degree in computer science, or related technical, math, or scientific field
- 3+ years experience working with deep learning, machine learning, generative AI, or statistics
- Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker.
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
- Experience building cloud solutions with AWS

Application deadline: Dec 8, 2025
Key job responsibilities
Your broad responsibilities will include:
- Helping U.S. Federal Civilian Government organizations implement innovative cloud computing solutions and solve technical problems.
- Owning the technical engagement and ultimate success around specific implementation projects.
- Defining implementation architectures, responding to RFPs, developing a deep expertise in the AWS technologies as well as broad know-how around how applications and services are constructed using the AWS platform.
- Act as a thought leader sharing best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re:Invent, etc.
A day in the life

- 3+ years of design, implementation, or consulting in applications and infrastructures experience
- 5+ years of IT development or implementation/consulting in the software or Internet industries experience
- 4+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience

- Experience working within software development or Internet-related industries
- Experience migrating or transforming legacy customer solutions to the cloud
- Experience working with AWS technologies from a dev/ops perspective
- Intermediate/advanced knowledge of the AWS services.
- 5+ years of infrastructure architecture, database architecture and networking experience
- 5+ years of experience designing, implementing, and managing Kubernetes environments at scale
- Proven experience architecting containerized applications and microservices architectures
- Strong background in DevOps practices and CI/CD pipeline implementation using Kubernetes
- Experience managing multiple Kubernetes clusters
- Demonstrated expertise in Kubernetes security, networking, and storage concepts
- Proficiency in Infrastructure as Code tools (Terraform, Helm) for Kubernetes deployments
- Experience troubleshooting complex distributed systems and container-based applications
- Experience within the Federal Government.
- Understanding of infrastructure and security requirements, such as FedRAMP Moderate/High, HIPAA, DoD SRG, CJIS, etc.
- Current, active US Government Security Clearance of Top Secret or above

Application deadline: Dec 17, 2025Key job responsibilitiesEngage with Solution Architects, Account Managers, Professional Services, and Partners to define an HPC Engagement strategy for AWS operational territories and key accounts, with emphasis on public sector National Super Computing Centers , Government agencies , and/or AI/ML , CAE , Weather and accelerated computing with GPU
Understand AWS market segments, and industry verticals.We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

- Developer experience with HPC frameworks for workloads in a domain such as CAE, Weather Simulation, oil and gas, automotive / aerospace, financial services or pharmaceuticals.
- Proven ability to understand HPC user requirements and map these to solutions.
- Experience in architecting an HPC platform with scheduling middleware (e.g. Slurm, Torque, Symphony or GridServer).
- Experience in deployment, tuning and management of HPC technologies in a multi-user environment.
- High level understanding of the underlying infrastructure platform and resources to run HPC services.
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients.
- Proficient in one or more of the following programming languages: C++, Python, CUDA, Bash
- Deep GPU knowledge in HPC and/or AI/ML frameworks.

- An advanced degree in computer science, engineering, physical or life sciences or related discipline.
- Working knowledge of HPC schedulers and distributed/parallel file systems, underlying IT systems, and the HPC development process, high throughput and tight coupling approaches.
- Working knowledge of containers such as Docker, Kubernetes, Singularity.
- Strong verbal and written communications skills are a must, as well as the ability to work effectively across internal and external organizations and virtual teams.
- An understanding of the cloud computing delivery model as it relates to HPC.
- Knowledge of the underlying infrastructure requirements such as Networking, Storage, and Hardware Optimization.
- Experience in a customer-facing, sales-aligned role such as consultant, solutions engineer or solutions architect.
- Track record of implementing AWS services in a variety of business environments such as large enterprises and start-ups.