Sr Cloud Engineer at SAIC
McLean, VA 22102, USA -
Full Time


Start Date

Immediate

Expiry Date

09 Nov, 25

Salary

160000.0

Posted On

10 Aug, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Machine Learning, Jpa, Mathematics, Elastic Load Balancing, Aws, Google, Docker, Artificial Intelligence, Python, Cloud Security, Containerization, Logging, Azure, Java, Computer Science, Cloud, Security, Hibernate, Statistics, Data Science

Industry

Computer Software/Engineering

Description

Job ID: 2508471
Location: REMOTE WORK, VA, US
Date Posted: 2025-08-08
Category: Information Technology
Subcategory: Data Scientist
Schedule: Full-time
Shift: Day Job
Travel: No
Minimum Clearance Required: None
Clearance Level Must Be Able to Obtain: Public Trust
Potential for Remote Work: Yes
Description

JOB SUMMARY:

We are seeking an experienced Cloud Engineer subject matter expert and Java Developer to help lead the migration of large, complex Java applications from on-premises to the cloud. This exceptional position will be a key member of an emerging technologies lab which will support many product teams as they seek to migrate, modernize, automate, and innovate their applications. The ideal candidate will have strong background and experience in AWS, Azure, and Google cloud, in migrating applications to the cloud, as well as having hands-on experience as a senior java developer.

REQUIRED QUALIFICATIONS:

  • Bachelors’ degree or higher in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
  • Minimum 7 years of relevant experience in cloud native development or similar role.
  • Candidates must be able to obtain and maintain a Public Trust clearance based on USPTO regulations
  • Candidates must have lived in the United States for the last 2 years
  • Proven track record of delivering cloud migration and impactful solutions in a cloud native environment.
  • Strong knowledge of AWS services (EC2, S3, RDS, Lambda, SQS, SNS, Glacier, Terraforms, API Gateway, CloudSearch, Elastic Load Balancing , etc.)
  • Experience with Agile development methodologies and version control systems (Git)
  • Understanding of cloud security, compliance, governance, policies, frameworks, and tools
  • Excellent problem-solving skills, with the ability to troubleshoot complex issues

TECHNOLOGY STACK & SKILLS REQUIREMENTS:

  • AWS, Azure, Google
  • CloudSearch, Elastic Load Balancing , etc.)
  • Expertise in Java, SpringBoot, Hibernate, JPA, and related frameworks
  • Experience with containerization (Docker) and serverless architectures and AI/ML environments
  • Experience with Cloud data management tools
  • Knowledge of DevOps tools (GitLab Runner)
  • Familiarity with cloud-based CI/CD pipelines
  • Experience with monitoring and logging tools (CloudWatch, ELK Stack)
  • Knowledge of data encryption and security approaches

DESIRED QUALIFICATIONS:

  • AWS, Azure, Google certifications (e.g., AWS Certified Solutions Architect, Developer)
  • Experience with artificial intelligence and machine learning systems
  • Proficiency in Python and relevant machine learning libraries/frameworks like TensorFlow, PyTorch.
    Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors
Responsibilities
  • Operate and maintain an innovation lab for the ideation, design, and engineering of cloud native product migration, modernization, and innovation.
  • Develop end-to-end plans for cloud migrations that are compliant with cybersecurity policies (FedRAMP, HIPAA, ETC.)
  • Develop pilots, prototypes, and proof of concept solutions to validate cloud modernization and innovation plans.
  • Support cybersecurity testing and Authorization To Operate certifications.
  • Collaborate with cross-functional teams including data engineering, product, and business stakeholders to translate requirements into data-driven solutions.
  • Support total experience initiatives including customer experience, user experience and human centered design through focus groups, metrics, wireframes, mockups, and information architecture development.
  • Guide the migration of large complex Java applications from on-premises to AWS cloud
  • Hands on experience with IaC and scripting to automate DevSecOps pipelines and setting up monitoring and logging
  • Support Agile product teams in cloud migrations.
    Qualifications
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