Java Cloud Developer

MACHINE LEARNING TECHNOLOGIES LLC; Rockville (MD); On-site; USD 96,000 - 152,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Rockville, MD is seeking a Java Cloud Developer to modernize Java/J2EE apps and migrate them to AWS. You will own cloud architecture decisions, drive migration strategies, and guide a team to deliver scalable cloud-native solutions.

The role requires strong Java and AWS expertise, experience with Docker/Kubernetes, and proficiency with IaC tools like CloudFormation or Terraform. This is a contract role based in Rockville, MD under DOE terms.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• At least 5+ years migrating applications to AWS.
• Strong Java/J2EE, Spring, Hibernate, JSF experience.
• Solid AWS architecture and cloud computing knowledge.
• Expertise in Docker and Kubernetes.
• Familiarity with IaC tools like CloudFormation or Terraform.
• Knowledge of database migration strategies and multiple DB systems.
• Understanding of CI/CD and DevOps practices.
• Strong problem-solving and collaboration skills.

Responsibilities

• Lead Cloud Architecture & Migration: refine and improve enterprise cloud migration architecture.
• Architectural Design & Development: guide team to design and develop reference architectures for migrations.
• Application Modernization: break monoliths into microservices, integrate with AWS services.
• Service Selection & Integration: choose AWS services (EC2/ECS/EKS, S3, RDS, API Gateway, Lambda).
• Containerization & Automation: containerize apps and use CloudFormation, SAM, or Terraform for infra provisioning.
• Governance & Cost Management: work with leadership and ARB to ensure cost efficiency and scalability.
• Communication & Cadence: establish team cadences and report milestones to leadership.

Skills

Cloud architecture

Team leadership

Problem solving

CI/CD

Education

Bachelor's degree in CS or related field

Tools

Docker

Kubernetes

Terraform

CloudFormation

AWS

EC2

ECS

EKS

S3

RDS

API Gateway

Lambda

Job description

Job Description

Job Overview

Job ID: J51824

Job Title: Java Cloud Developer

Location: Rockville, MD

Duration: 8 Months + Extension

Hourly Rate: Depending on Experience (DOE)

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD

Client: To Be Discussed Later

Employment Type: W-2, 1099, C2C

Developer specialized in migrating Java/J2EE applications to the cloud. You will take ownership for modernizing Java/J2EE applications and migrating them to AWS by re-architecting them to leverage cloud-native features and improve scalability, performance, and agility, while minimizing disruption to existing functionality.

Responsibilities

• Lead Cloud Architecture & Migration: Take ownership of architecture refinement and improvement of an enterprise cloud migration project. Design a migration plan, considering options like "replatforming" (adjusting to cloud services with minimal code changes) or "refactoring" (major code restructuring to fully leverage cloud-native features).
• Architectural Design & Development: Lead a team of developers to Architect and Design and as required Develop pieces of Architectural Runway & Reference Architecture that Legacy JAVA / J2EE teams could use to migrate their applications to cloud.
• Application Modernization: Modify existing Java code to integrate with AWS services, potentially breaking down monolithic applications into microservices for better scalability.
• Service Selection & Integration: Choose appropriate AWS services based on application requirements, including EC2 / ECS / EKS for compute, S3 for storage, RDS for databases, API Gateway for API management, and Lambda for serverless functions. Define a disaster recovery mechanism for the same.
• Containerization & Automation: Package applications into Docker containers for efficient deployment and scaling on AWS services like ECS or EKS. Utilize tools like AWS CloudFormation, SAM, or Terraform to define and automate infrastructure provisioning for consistent deployment across environments.
• Governance & Cost Management: Work closely with project leadership and the Architectural Review Board on proposed architecture designs, ensuring cost efficiency, scalability, and effectiveness when proposing solutions.
• Communication & Cadence: Define the cadence at which the team will meet its defined objectives and communicate regularly with project leadership about achievements and milestones.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
• At least 5+ years of hands-on experience migrating applications onto the AWS platform.
• Solid migration experience from on-premises servers to AWS using appropriate tools and frameworks.
• Strong Java programming skills and experience with J2EE frameworks like Spring, Hibernate, and JSF.
• Strong understanding of AWS architecture and cloud computing concepts.
• Expertise in containerization technologies like Docker and Kubernetes.
• Familiarity with Infrastructure as Code (IaC) tools like CloudFormation or Terraform.
• Knowledge of database migration strategies and experience with different database systems.
• Understanding of DevOps practices for continuous integration and deployment (CI/CD).
• Strong problem-solving skills and ability to troubleshoot complex issues in distributed, cloud-based environments.
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

Equal Opportunity Employer

MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.