Cloud Software Engineer

Saic; Upper Marlboro (MD); Hybrid; USD 80,000 - 120,000; Full time

Benefits offered by this job

Hybrid work arrangement

Job summary

SAIC is seeking a Cloud Software Engineer to design, build, and maintain cloud-native applications and tools that support national security clients. You will join multi-disciplinary teams of engineers, data scientists, and AI scientists to accelerate research and development in a stimulating environment.

The role is hybrid with 3 days onsite and 2 days remote, offering collaboration with AWS, Java Spring Boot, and containerized services. U.S.

Qualifications

• Bachelor's degree in Computer Science, Engineering or related field with 2+ years of experience (MS 4 years in lieu).
• US Citizenship required with ability to obtain DHS Public Trust clearance.
• Strong communication and collaboration skills.

Responsibilities

• Develop and deploy cloud-native applications and microservices on AWS.
• Maintain well-documented, version-controlled code and participate in code reviews.
• Create APIs and microservices, including containerization where appropriate.
• Process data in relational and NoSQL databases.
• Support CI/CD pipelines and infrastructure as code (IaC).
• Follow DevSecOps practices to secure development.

Skills

Java Spring Boot

Go

Python

SQL

REST APIs

DevSecOps

Team collaboration

Education

BS in Computer Science or Engineering

MS in related field (4 years experience in lieu of degree)

Tools

AWS CLI

AWS SDK

Docker

Kubernetes

Rancher

Helm

ECS

Terraform

CloudFormation

CI/CD tooling

Job description

Description

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.