1681 Aws Test Automation Engineer jobs in Washington,DC

10+ years of experience administering Linux-based environments such as RedHat Enterprise Linux ( RHEL )
Experience managing configuration at scale using Ansible, including enforcing consistent system state across large inventories, detecting and correcting configuration drift, and writing idempotent playbooks
Experience using Infrastructure as Code ( IaC ) technologies such as Ansible, Terraform, Salt, Puppet, or Chef
Experience with Bash, Python, or PowerShell
Experience managing systems within U.S. federal government or DoD enterprise IT environments, including security compliance and vulnerability management frameworks such as STIG, RMF, or NIST
Active TS/SCI clearance; willingness to take a polygraph exam
Associate's degree and 5+ years of experience supporting IT projects and activities, Bachelor's degree and 3+ years of experience supporting IT projects and activities, or Master's degree and 1+ years of experience supporting IT projects and activities
Ability to obtain a DoD 8570 IAT Level II Certification such as Security+ CE, CCNA-Security, GSEC, SSCP, CySA+, GICSP, or CND Certification within 30 days of start date
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information ; TS/SCI clearance is required.
TS/SCI clearance is required.

Amazon.com Services LLC

Arlington, VA 22201

BOOZ, ALLEN & HAMILTON

Fort Meade, MD 20755

6+ years of experience supporting DoD or government agencies
3+ years of experience troubleshooting, triaging, or resolving automation issues using Ansible or PowerShell
Knowledge of Agile development
Knowledge of automation tools such as Ansible
Version control systems such as Git
Operating systems such as RHEL and Windows
Virtualization, including VM war e
Ability to develop tools and processes to drive DevSecOps maturity by automating builds, regression testing, monitoring, and pushing releases across environments
Ability to travel to CONUS or OCONUS locations up to 25% of the time
Secret clearance is required.
HS diploma or GED

Valytics

McLean, VA 22101

AHU Technologies

Washington, DC 20009

Johns Hopkins Hospital

Laurel, MD 20723

Are pursuing a PhD in Aerospace Engineering, Mechanical Engineering, Electrical Engineering, Software Engineering Systems Engineering, Physics, Mathematics, or Computer Science.
Proven internship experience or possess extensive classroom project work in a subject matter in any of the following areas: guidance, inertial navigation, modern/adaptive control, classical control, optimization; electromagnetic wave propagation, RF antennas, optics, signal and image processing, radar, programming/coding; dynamics, programming/coding, algorithms, optimization; hardware testing, embedded systems, sensor testing artificial intelligence and software development.
Are skilled in or have knowledge of coding practices in Matlab/Simulink, C++, Python, or other languages
Are able to obtain an Interim Secret security clearance by your start date and can ultimately obtain a Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.
Have a minimum 3.0 GPA on a 4.0 scale. Note: When prompted to upload attachments, please include a copy of your college transcripts (unofficial transcripts are acceptable).

Trident Maritime Systems

Arlington, VA 22202

Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or a related technical field
3-5+ years of experience building and deploying machine learning or AI systems
Eligibility to work within government tenants (GCC, GCCH) and with FEDRAMP compliant solutions
Certifications in MS Azure, Dev Ops, Analytics, and AI
Strong programming skills in Python and SQL
Experience with machine learning model development, including supervised, unsupervised, and deep learning techniques
Familiarity with cloud platforms (e.g. Azure) and GPU-accelerated computing
Experience integrating AI models with enterprise systems, APIs, or edge devices
Experience with M365 Copilot deployment and Copilot Studio
Experience using Microsoft's Power Platform (Power Automate, Power BI, etc.)
Hands-on experience with ML Ops tools (ML flow, Kubeflow, Airflow, Docker, Kubernetes, CI/CD pipelines)
Strong understanding of data structures, algorithms, and software engineering best practices
Strong problem-solving mindset and curiosity
Ability to translate ambiguous business needs into technical solutions
Comfortable working in fast-paced, iterative environments
Clear communication with both technical and nontechnical stakeholders
Understanding of AI governance, model monitoring, and responsible AI practices
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions
All Trident Maritime Systems employees are encouraged to be fully vaccinated against COVID-19