Job Description


Job Overview

  • Job ID:

    J51410

  • Job Title:

    AWS Cloud Architect/Senior Developer

  • Location:

    Rockville, MD

  • Duration:

    18 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

Job Details

Hello

Hope you are Doing Great!!!!

We are seeking an experienced AWS Cloud Architect / Senior 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.

  • 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.
  • 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

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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