Cloud Software Developer

Title: Cloud Software Developer Location: Dahlgren, VA

Cloud Software Developer

Salary: $130,000 - $140,000

The Cloud Software Developer designs, develops, tests, and supports reliable cloud-based applications and data-processing solutions in a dynamic mission environment. The role requires strong software development and system-integration capabilities, practical experience with AWS technologies, and the ability to incorporate AI-enabled functionality where appropriate. Success requires sound analytical and problem-solving skills, familiarity with the software development lifecycle, and the flexibility to quickly learn and apply new programming languages, tools, and technical approaches as mission needs evolve.

Work Location: On-site in Dahlgren, VA.

Basic Required Qualifications and Skills: 

• Bachelor’s degree in computer science, data engineering, data science, computer engineering, or a related technical field.
• 3+ years of experience in software development, cloud engineering, application development, data engineering, or a related technical discipline, including hands-on software development lifecycle (SDLC) experience.

• 1+ years of experience with:

• Developing ETL workflows and data transformation processes.
• Software development supporting data engineering and system integration.
• AWS cloud technologies
• AI integration into data solutions or applications.

• Experience using diverse languages or scripting tools, including R and Ruby.
• Strong analytical and problem-solving skills.
• Ability to adapt to unfamiliar tools, programming languages, and technical tasks quickly.
• Willingness to work in a dynamic environment where priorities and technical requirements may shift

• Ability to meet DoD 8140.03 requirements for the applicable work role, Database Administrator (Intermediate) or equivalent.
• Ability to obtain and maintain a TS/SCI with SAP eligibility.
• Please note that pursuant to a government contract, this specific position requires U.S. Citizenship.

• All applicants must have current DoD TS/SCI clearance eligibility day one and prior to entry on duty.

Desired Qualifications and Skills: It is desirable that the candidate have the following qualifications:

• AWS certifications preferred, such as AWS Certified Cloud Practitioner, AWS Certified Solutions Architect, AWS Certified Developer, or AWS Certified Data Engineer.
• CompTIA Cloud+ or comparable cloud certification.
• Experience designing, developing, testing, and maintaining reliable software applications and data-processing solutions.
• Hands-on AWS delivery experience using services such as Lambda, S3, EC2, IAM, CloudWatch, and infrastructure-as-code tools to deploy, monitor, and support cloud-based applications and data workloads.
• Hands-on Kubernetes delivery experience deploying, configuring, scaling, and troubleshooting containerized applications, including working with clusters, pods, deployments, services, configuration, and application logs.
• Production data-engineering experience, including operating pipelines or ETL workflows in a live environment.
• Hands-on experience with AWS through professional, academic, personal, or laboratory projects.
• Experience with additional languages and tools, such as R or Ruby, beyond the core development stack.
• AI integration exposure, including incorporating AI capabilities into data workflows or applications

Essential Duties and Responsibilities: This position will include, but is not limited to, the following tasks:

• Build and optimize ETL processes that ingest, transform, validate, and deliver data for mission use.
• Develop software components that support data engineering, automation, integration, and operational requirements.
• Use AWS services to develop, deploy, and support cloud-based data solutions.
• Integrate AI capabilities into data workflows and applications when required.
• Diagnose technical issues, improve performance and reliability, and solve novel data challenges.
• Rapidly learn and use new programming languages, frameworks, and tools, including languages such as R and Ruby when needed.
• Work effectively in a fast-changing environment involving ambiguity, evolving requirements, shifting priorities, and non -routine technical challenges.
• Take initiative, transition between tools and programming languages with minimal ramp-up, and apply sound engineering judgment to new mission problems.
• Other duties as assigned.