Cloud Software Engineer

SAIC’s is seeking a Cloud Software Engineer with strong development experience to contribute to designing, building, and maintaining modern, cloud-native applications and tools that will expand the scale and accelerate the pace of our research, development, test and evaluation (RDT&E) supporting national security clients. This role offers the opportunity to work with multi-disciplinary teams of engineers, data scientists, and AI scientists and contribute to innovative technology development and experimentation.

Hybrid: 3 days onsite / 2 days remote

Responsibilities:

• Collaborate with senior software engineers to develop and deploy cloud-native applications and microservices on the Amazon Web Services (AWS) cloud platform.
• Maintain well documented, formatted, and version controlled code and participate in code review.
• Develop custom APIs and microservices, including containerization, where appropriate.
• Create code to process data stored in both relational and NoSQL databases.
• Facilitate seamless code promotion from development to production by resolving technical issues identified by testing.
• Contribute to implementing and maintaining Infrastructure as Code and Continuous Integration and Continuous Development (CI/CD) pipelines.
• Contribute to secure code development by following DevSecOps best practices.
• Support cross-functional teams by delivering high-quality software products that meet changing research needs and client requirements.

Required:

• Bachelor of Science (BS) in Computer Science, Engineering, or a related discipline with 2+ years of experience or MS (4 years experience in lieu of degree).
• Must be able to obtain and maintain a DHS Public Trust clearance requiring U.S. Citizenship.
• Strong communication and collaboration skills.

Technical Requirements:

• Strong experience with Java Spring Boot and at least one other language (e.g., GO, Python).
• Strong experience using AWS CLI and AWS SDK.
• Experience deploying and configuring software on AWS cloud services.
• Experience implementing APIs including REST, Swagger, and associated tools.
• Experience with Docker, Kubernetes, Rancher, Helm, and ECS.
• Experience with databases such as AWS RDS, AWS DynamoDB, or PostgreSQL.
• Experience with AI-assisted development.
• Experience with agile software development and tools such as Atlassian Jira, Confluence, Bitbucket, or similar.
• Knowledge of Structured Query Language (SQL).
• Understanding with event-driven systems or distributed architectures.
• Understanding of infrastructure as code, including tools like AWS CloudFormation or Terraform.
• Understanding of CI/CD pipelines using tools like AWS CodePipeline.
• Familiarity with identity management principles and tools such as AWS IAM, Cognito and OKTA.
• Familiarity with DevSecOps best-practices in cloud security and compliance.