Job DescriptionDescription 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.
Qualifications 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.
Target salary range: $80,001 - $120,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.
Overview SAIC accepts applications on an ongoing basis and there is no deadline.
