Cloud Software Engineer - TS/SCI w/ Poly
- Compensation
- Not disclosed
- Location
- USA VA Herndon
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Contract
- Experience
- 10+ years
- Category
- Software engineering
- Posted
Skills
Must have
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical discipline; equivalent experience may be considered.
- Proven experience designing, developing, and deploying cloud‑native applications and services.
- Demonstrated proficiency in programming languages such as Python, Java, C++, or Ruby.
- Hands‑on experience with AWS services including S3, RDS, EC2, ECS, Lambda, SQS, SNS, and CloudFormation.
- Practical experience implementing Infrastructure‑as‑Code (IaC) using CloudFormation or similar automation frameworks.
- Strong understanding of DevOps practices, including CI/CD pipelines, version control, and automated build/deployment workflows.
- Experience with containerization and automation tools such as Docker and Ansible.
- Solid understanding of RESTful API design, integration patterns, and web‑service architectures.
- Demonstrated ability to troubleshoot cloud infrastructure, application deployments, and performance issues.
- Experience working within Agile Scrum teams and contributing to iterative delivery cycles.
- Strong communication skills with the ability to collaborate effectively with technical and non‑technical stakeholders.
Nice to have
- Experience supporting COTS/GOTS applications across Windows and Linux environments hosted on AWS.
- Familiarity with Assessment & Authorization (A&A) processes and security/compliance artifact development.
- Exposure to system engineering practices, open‑source technologies, and cloud governance frameworks.
- Professional certifications such as AWS Solutions Architect, AWS Developer, AWS SysOps Administrator, or equivalent cloud/DevOps credentials.
Full description
Type of Requisition:
RegularClearance Level Must Currently Possess:
Top Secret SCI + PolygraphClearance Level Must Be Able to Obtain:
NonePublic Trust/Other Required:
NoneJob Family:
Software EngineeringJob Qualifications:Skills:
Cloud Development, DevOps, Scripting LanguagesCertifications:
NoneExperience:
10 + years of related experienceUS Citizenship Required:
YesJob Description:
Deliver simple solutions to complex problems as a Cloud Engineer at GDIT. Here, you’ll tailor cutting-edge solutions to the unique requirements of our clients. With a career in application development, you’ll make the end user’s experience your priority and we’ll make your career growth ours.
The Cloud Software Engineer serves as a technical Subject Matter Expert who designs, builds, and maintains cloud‑native applications and the underlying platform services and automation frameworks that support them. This role blends software engineering, cloud platform engineering, DevOps automation, and operational troubleshooting to deliver scalable, resilient, and cost‑efficient cloud solutions. The Cloud Engineer collaborates closely with Agile development teams, supports customer mission needs, and ensures alignment with enterprise best practices, governance requirements, and platform standards. This role is essential to ensuring reliability, scalability, and continuous improvement of cloud capabilities across the enterprise.
KEY RESPONSIBILITIES:
- Serve as a technical SME in cloud‑native software, cloud platforms, DevOps, and Infrastructure‑as‑Code (IaC).
- Design, develop, and deploy modular cloud‑based systems and services using languages such as Python, Java, C++, or Ruby.
- Apply software engineering best practices to ensure high‑quality, testable, and maintainable code.
- Build and maintain AWS solutions (e.g., S3, RDS, EC2, ECS, Lambda, SQS, SNS) using CloudFormation and related IaC/automation frameworks.
- Implement CI/CD pipelines with tools such as GitHub and Jenkins; containerize and automate workloads using Docker and Ansible.
- Use open‑source technologies and systems engineering practices to design and implement cloud solutions.
- Identify and resolve cloud infrastructure, performance, and deployment issues; recommend improvements for scalability, reliability, security, and cost efficiency.
- Ensure cloud solutions align with customer best practices, architectural guidance, and governance standards.