Sr Cloud Engineer

  • REMOTE WORK, VA
  • Posted 8 hours ago | Updated 8 hours ago

Overview

Remote
On Site
USD 120,001.00 - 160,000.00 per year
Full Time

Skills

Emerging Technologies
Google Cloud
Google Cloud Platform
Ideation
FedRAMP
HIPAA
Prototyping
Innovation
Cyber Security
Testing
Authorization
Collaboration
Data Engineering
Customer Experience
User Experience
Focus Groups
Wireframe
Mockups
Information Architecture
Scripting
DevSecOps
Computer Science
Data Science
Statistics
Mathematics
Security Clearance
Migration
Amazon EC2
Amazon S3
Amazon RDS
Remote Desktop Services
Amazon SQS
API
Agile
Version Control
Git
Cloud Security
Regulatory Compliance
Conflict Resolution
Problem Solving
Load Balancing
Java
Hibernate
JPA
Docker
Data Management
DevOps
GitLab
Cloud Computing
Continuous Integration
Continuous Delivery
Encryption
Microsoft Azure
Amazon Web Services
Artificial Intelligence
Python
Machine Learning (ML)
TensorFlow
PyTorch
Information Technology
Systems Engineering
FOCUS

Job Details

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.

Key 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

S upport Agile product teams in cloud migrations.

Qualifications

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.


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