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Work Based Learning Program Aws Jobs in Round Hill, VA

BigBear.ai

AWS Developer

Ashburn, VA · On-site

Ability to work in an agile team and collaborate with architects, engineers, and stakeholders What ... based operating environments. Headquartered in McLean, Virginia, BigBear.ai is a public company ...

Bigbear.ai

AWS Developer

Ashburn, VA · On-site

Ability to work in an agile team and collaborate with architects, engineers, and stakeholders What ... based operating environments. Headquartered in McLean, Virginia, BigBear.ai is a public company ...

GRVTY

Software Engineer

Chantilly, VA · On-site

... work based on mission need • Demonstrated experience documenting and communicating technical and ... experience using AWS Cloud Development Kits (CDK) • Demonstrated experience building and ...

Twisters Inc

Early Learning Center Director

Brunswick, MD · On-site

$50K - $65K/yr

As a Maryland EXCELS Level 5 accredited program, we are committed to providing exceptional early ... Ensure implementation of developmentally appropriate practices and evidence-based early learning ...

GRVTY

Software Engineer

Chantilly, VA · On-site

... technology program in the Intel Community. They are seeking a Software Engineer to work within ... experience using AWS Cloud Development Kits (CDK) • Demonstrated experience building and ...

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All JobsWork Based Learning Program Aws JobsWork Based Learning Program Aws Jobs in Round Hill, VA

Work Based Learning Program Aws information

See Round Hill, VA salary details

$50.1K

$86.7K

$195.5K

How much do work based learning program aws jobs pay per year?

As of Jul 28, 2026, the average yearly pay for work based learning program aws in Round Hill, VA is $86,683.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,700.00 and $94,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in a Work-Based Learning Program focused on AWS, and why are they important?

To thrive in a Work-Based Learning Program focused on AWS, you need foundational knowledge of cloud computing concepts, basic programming skills, and familiarity with networking, supported by relevant coursework or entry-level certifications like AWS Cloud Practitioner. Hands-on experience with AWS tools such as EC2, S3, Lambda, and the AWS Management Console is typically required, along with understanding of version control systems like Git. Strong problem-solving abilities, willingness to learn, and effective communication are important soft skills for adapting to real-world technical environments. These skills and qualities are crucial for successfully applying cloud concepts in practical settings and collaborating with teams to solve business challenges.

What is the difference between Work Based Learning Program Aws vs Cloud Support Associate?

AspectWork Based Learning Program AwsCloud Support Associate
CredentialsTypically no formal certifications required; focus on trainingOften requires AWS certifications or related cloud credentials
Work EnvironmentEducational or training setting, often part-time or internshipProfessional cloud support environment, full-time role
Employer & Industry UsageEducational institutions, training providers, AWS programsCloud service providers, IT companies, AWS partners

The Work Based Learning Program Aws is primarily a training or internship opportunity designed to develop skills in AWS cloud services, often without requiring prior certifications. In contrast, a Cloud Support Associate is a full-time professional role that typically requires AWS certifications and involves supporting cloud customers in a real-world environment. While the learning program focuses on education and skill development, the associate role emphasizes practical support and troubleshooting in the industry.

What is a Work Based Learning Program with AWS?

A Work Based Learning Program with AWS is an educational initiative that combines classroom instruction with real-world work experience using Amazon Web Services (AWS) technologies. These programs are designed to help students and professionals gain hands-on cloud computing skills by working on projects, internships, or apprenticeships in partnership with employers. Participants learn about cloud infrastructure, deployment, and AWS services, making them more competitive in the job market. Such programs often include mentorship, industry certifications, and exposure to real business challenges.

How does participating in an AWS Work-Based Learning Program help prepare candidates for a cloud-focused career?

Participating in an AWS Work-Based Learning Program offers hands-on experience with key AWS cloud services, allowing candidates to apply classroom concepts to real-world projects. You'll typically collaborate with mentors and teammates in a structured environment, working on tasks such as cloud migration, automation, and security configuration. This immersion helps build both technical and professional skills, making you more competitive for roles such as cloud support associate or solutions architect. Additionally, exposure to industry best practices and networking opportunities within the program can significantly accelerate your career growth in cloud computing.
What cities near Round Hill, VA are hiring for Work Based Learning Program Aws jobs? Cities near Round Hill, VA with the most Work Based Learning Program Aws job openings:
Work Based Learning Program Aws jobs near you
AWS Developer

AWS Developer

BigBear.ai

Ashburn, VA • On-site

Other

Posted 21 days ago

Job description

Overview
BigBear.ai is seeking a Mid level AWS Developer for a federal government engagement. Responsible for designing, building, and maintaining secure, scalable cloud applications and services in an AWS environment, with a focus on delivering reliable solutions that meet federal performance, security, and compliance requirements.
What you will do
  • Design, develop, and maintain secure, scalable cloud-native applications and services within an AWS environment
  • Build and deploy APIs, microservices, and serverless solutions to support mission-critical federal government initiatives
  • Collaborate with architects, engineers, and stakeholders to deliver high-quality software solutions in an Agile environment
  • Implement and maintain Infrastructure as Code (IaC), CI/CD pipelines, and automated deployment processes to improve efficiency and reliability
  • Monitor application performance and system health using AWS monitoring and logging tools, ensuring availability and operational excellence
  • Apply AWS security best practices, including IAM, encryption, logging, and least-privilege access controls to meet federal security requirements
  • Troubleshoot, optimize, and enhance cloud applications for performance, scalability, and reliability
  • Support cloud modernization efforts by leveraging AWS services such as EC2, S3, Lambda, API Gateway, VPC, and CloudWatch
  • Contribute to continuous improvement initiatives by identifying opportunities to automate processes and improve development workflows
  • Ensure solutions align with federal compliance, security, and operational standards

What you need to have
  • Bachelor's Degree and 5 to 8 years of experience
  • 5+ years of software development experience, including 3+ years in AWS
  • Strong hands-on experience with core AWS services such as EC2, S3, Lambda, IAM, VPC, CloudWatch, and API Gateway
  • Proficiency in one or more modern languages: Java, Python, C#, or JavaScript/TypeScript
  • Experience building and deploying cloud-native applications, APIs, and microservices
  • Strong understanding of DevOps practices, CI/CD pipelines, Infrastructure as Code, and automation
  • Experience with security best practices, including least-privilege access, encryption, logging, and monitoring
  • Familiarity with federal government environments and secure delivery expectations
  • Ability to work in an agile team and collaborate with architects, engineers, and stakeholders

What we'd like you to have
  • AWS certifications
  • Python development experience
  • Experience with containers and orchestration, such as Docker, Kubernetes, or ECS
  • Experience with serverless architecture
  • Exposure to FedRAMP, NIST, or other federal security frameworks
  • Clearance or ability to obtain one, if required by the client

About BigBear.ai
BigBear.ai is a leading provider of AI-powered decision intelligence solutions for national security, supply chain management, and digital identity. Customers and partners rely on Bigbear.ai's predictive analytics capabilities in highly complex, distributed, mission-based operating environments. Headquartered in McLean, Virginia, BigBear.ai is a public company traded on the NYSE under the symbol BBAI. For more information, visit and follow BigBear.ai on LinkedIn: @BigBear.ai and X: @BigBearai.
BigBear.ai is an Equal opportunity employer all protected groups, including protected veterans and individuals with disabilities.

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