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PlanIT Group, LLC · 4 months ago

Senior Java PL/SQL Developer/AI

Washington, DC

Contract

Onsite

Senior Level, Lead/Staff

8+ years exp

PlanIT Group, LLC is seeking a Senior Java PL/SQL Developer/AI to provide technical and business expertise in software and hardware solutions. The role involves designing solutions, mentoring staff, and ensuring compliance while maintaining and enhancing existing applications and databases.

ConsultingInformation TechnologyManagement Consulting

Growth Opportunities

No H1B

U.S. Citizen Only

Responsibilities

Create and maintain web pages using Oracle MOD PL/SQL packages

Maintain the existing applications and enhance the system as per client requirements

Extensive Oracle database experience

Modify existing batches to incorporate new functionalities

UNIX Shell scripting

Analyze system issues and devise and execute remediation plans

Perform code reviews and bug fixing

Conduct performance tuning of existing queries and packages

Comply with all required standards and processes and devise approaches to ensure compliance across the team

Provide complete technical and maintenance support to the systems

Run the assigned projects solo as well as working as a team

Provide round-the-clock support as needed for the assigned tasks

Experience using AI-assisted development tools for enhanced productivity

Qualification

PL/SQL developmentOracle databaseCloud applicationsJava (Spring Framework)Data Science solutionsUNIX Shell scriptingAngularTypeScriptJavaScriptHTMLJSONSQL DeveloperJDeveloperLinuxMicrosoft OfficeCommunication skillsTime managementProblem-solvingTeamwork

Required

8 plus years of experience in IT

8 plus years of PL/SQL development experience

UNIX, MS Windows Server experience

Hands-on experience with Oracle, Java (Spring Framework), PL/SQL, Angular, TypeScript, JavaScript, HTML, JSON, SQL Developer, JDeveloper, Shell Scripting, UNIX, and Linux

Must have expertise in creating and maintaining complex PL/SQL code/packages spanning multiple schemas

Interact directly with the customer on behalf of the team to resolve issues or identify new requirements to be addressed by the team

Understanding and knowledge of Software Development Life Cycle

Maintains strong attention to detail in high-pressure situations

Exhibit confidence and knowledge in solving problems

Work well independently and within a team

Proficiency in Microsoft Office

Excellent written and oral communication skills

Excellent time management skills

Ability to handle multiple tasks simultaneously

Willingness to learn and acquire new knowledge

Works on high-visibility, or mission critical aspects of a given program, and performs all functional duties independently

Oversees the efforts of direct reporting resources and/or be responsible for the efforts of all staff assigned to a specific job

Bachelor's Degree in Business, Computer Science, Information Systems or related field, with 10+ years (or commensurate experience)

Pass both a client mandated clearance process to include drug screening, criminal history check and credit check

All candidates must be a US Citizen or have permanent residence status (Green Card)

Candidate must have lived in the US for the past 5 years

Cannot have more than 6 months travel outside the United States within the last five years. Military Service excluded. (Exception does not include military family members.)

Preferred

Experience deploying python applications in cloud service production environments (e.g., AWS, Azure, GCP), potentially leveraging containerization tools (e.g., Docker, Kubernetes)

Experience in applying principles like version control (Git), writing clear and testable code, participating in code reviews, and using continuous integration/continuous deployment (CI/CD) pipelines

Demonstrated understanding and implementation of data science solutions such as data pipelining, feature engineering, or creation of Machine Learning Models

Proficiency using managed AI/ML services provided by cloud platforms to streamline development, deployment, and management of data science applications