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Part Time Amazon Developer Jobs (NOW HIRING)

Booz Allen Hamilton, Inc.

Cloud Engineer

Arlington, VA · On-site

$86.80K - $198K/yr

... Amazon Web Services GovCloud or Commercial * Secret clearance * Bachelor's degree * IAT Level II ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Software Engineer

Mclean, VA · On-site

$86.80K - $198K/yr

As a full-stack developer, you can solve a problem with a complete end-to-end solution in a fast ... Experience with cloud computing services, including Amazon Web Services or Microsoft Azure

Booz Allen Hamilton, Inc.

Cloud Engineer

Arlington, VA · On-site

$69.40K - $158K/yr

... Amazon Web Services GovCloud or Commercial * Secret clearance * Bachelor's degree * IAT Level II ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Cloud Engineer

Chantilly, VA · On-site

$69.40K - $158K/yr

You Have: * 3+ years of experience with Amazon Web Services (AWS) * Experience with python and SQL ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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How much do part time amazon developer jobs pay per hour?

As of May 31, 2026, the average hourly pay for part time amazon developer in the United States is $52.84, according to ZipRecruiter salary data. Most workers in this role earn between $40.38 and $64.66 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Part Time Amazon Developer, and why are they important?

To thrive as a Part Time Amazon Developer, you need proficiency in programming languages such as Java, Python, or JavaScript, and an understanding of cloud platforms like AWS, typically supported by a degree in computer science or related experience. Familiarity with Amazon Web Services (AWS) tools, SDKs, APIs, and agile development methodologies is essential for the role. Strong problem-solving skills, effective communication, and the ability to work independently are valuable soft skills for part-time developers. These competencies enable you to build scalable solutions, collaborate remotely, and deliver high-quality results within flexible schedules.

What are some common challenges faced by part-time Amazon Developers and how can they be managed?

Part-time Amazon Developers often face the challenge of managing project timelines and communication with full-time team members, especially when working asynchronously. Staying updated with rapidly changing AWS services and Amazon development standards can also be demanding in a part-time capacity. To overcome these challenges, it's important to set clear expectations with your team, leverage collaborative tools for documentation and communication, and dedicate regular time for professional development. Building strong relationships with colleagues and proactively seeking feedback can also help ensure you remain aligned with project goals.

What does a Part Time Amazon Developer do?

A Part Time Amazon Developer is a software developer who works on Amazon-related technologies, such as AWS (Amazon Web Services), Alexa Skills, or e-commerce integrations, but on a part-time basis. Their responsibilities can include building, maintaining, and optimizing applications or services that leverage Amazon platforms. They typically collaborate with teams to implement cloud solutions or e-commerce functionalities while working fewer hours than a full-time developer. This role is ideal for individuals seeking flexible schedules or supplemental income.

What is the difference between Part Time Amazon Developer vs Part Time Software Engineer?

AspectPart Time Amazon DeveloperPart Time Software Engineer
Required CredentialsRelevant coding skills, Amazon API knowledge, possibly certificationsComputer science degree or coding certifications, programming skills
Work EnvironmentRemote or on-site, focused on Amazon platform projectsRemote or on-site, general software development projects
Employer & Industry UsageAmazon-related companies, e-commerce, cloud servicesVarious industries, tech companies, startups, enterprises
Search & Comparison IntentUnderstanding Amazon-specific development rolesGeneral software development roles

Part Time Amazon Developers focus on building and maintaining applications within Amazon's ecosystem, requiring Amazon API knowledge and specific platform skills. In contrast, Part Time Software Engineers work on broader software projects across multiple industries, often with more general programming expertise. Both roles may be remote and part-time but differ mainly in platform specialization and industry focus.

More about Part Time Amazon Developer jobs
What job categories do people searching Part Time Amazon Developer jobs look for? The top searched job categories for Part Time Amazon Developer jobs are:
Part Time Amazon Developer jobs near you
Infographic showing various Part Time Amazon Developer job openings in the United States as of May 2026, with employment types broken down into 29% As Needed, 57% Full Time, and 14% Part Time. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $109,905 per year, or $52.8 per hour.
AI Security Solutions Architect

AI Security Solutions Architect

Booz Allen Hamilton, Inc.

Fort George G Meade, MD • On-site

$99K - $225K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 5 days ago

Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

8th of 57 rated business consultants

Job description

Job Description
Remote Work:
Hybrid
Job Number:
R0234795
Location:
Washington,DC,US
Share job via:
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Additional Locations:
  • Fort Meade, Maryland, USA

AI Security Solutions Architect
The Opportunity:
As a Secure AI Architect, you'll be responsible for designing and implementing secure architectures for artificial intelligence and machine learning (AI/ML) systems across the organization. This role bridges cybersecurity and AI engineering disciplines to ensure that AI models, data pipelines, and supporting infrastructure are protected against threats such as data poisoning, model inversion, prompt injection, and adversarial attacks.
You will play a key role in shaping enterprise AI security strategies, developing secure model deployment frameworks, ensuring compliance with emerging AI regulations, and embedding security-by-design principles into all AI initiatives.
Join us. The world can't wait.
You Have:
  • 8+ years of experience in cybersecurity, systems architecture, or software engineering, including AI/ML solution design
  • 3+ years of experience designing, deploying, and securing AI/ML pipelines, including model training, inference, and monitoring
  • Experience with large language model platforms and APIs such as OpenAI, Anthropic, Azure OpenAI Service, and Amazon Bedrock, ML frameworks such as TensorFlow, PyTorch, scikit-learn, and Hugging Face Transformers, data engineering and analytics platforms such as Databricks, Apache Spark, Snowflake, and Apache Iceberg, and ML orchestration and serving platforms such as Amazon SageMaker, Vertex AI, MLFlow, and Kubeflow
  • Experience implementing AI security controls, including data provenance, model integrity, and AI supply chain risk management
  • Experience integrating AI into operational workflows, including SOC automation, threat detection, and cyber analytics
  • Knowledge of AI governance frameworks and DoD Responsible AI principles
  • Ability to obtain a Secret clearance
  • HS diploma or GED

Nice If You Have:
  • 5+ years of experience supporting DoD, Intelligence Community, or federal civilian agency missions
  • Experience operating in IL5, IL6, or IL7 environments
  • Experience developing AI-enabled defensive cyber capabilities such as automated triage, detection engineering, or autonomous response
  • Experience securing large language models, RAG architectures, or agentic AI systems
  • Experience with MLOps or AIOps practices, including model versioning, drift detection, and performance monitoring
  • Experience with stream processing platforms such as Cribl, Kafka, or Flink, for real-time AI data ingestion
  • Experience with data governance for AI training data in multi-classification or coalition environments
  • Bachelor's degree in CS, Data Science, AI, Cybersecurity, or Engineering
  • DoD 8140 Certification such as Security+, CISSP, CASP+, or CCSP Certification

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

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Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914

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