Back End Java Engineer Job at Akaasa Technologies, Richmond, VA

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  • Akaasa Technologies
  • Richmond, VA

Job Description

Need 22 Back End Engineers (Java, AWS, Glue, previous CapitalOne experience)

Title: Back End Java Engineer

Must have Java, AWS Glue ( those are the ONLY must have required skills rest of the below skills are nice to have!)



Location: Must sit onsite in Richmond, VA or McLean, VA hybrid

10 plus year profile

No relocation candidates. Must be within a 1.5 hour drive of Richmond VA or McLean VA. If they are selected, they will need to relocate closer for a more manageable drive for the hybrid schedule. If they are further than a 1.5 hour drive, do not submit.

****Required: Java, AWS Glue, CapitalOne experience in last 5 years.****

NEED SUBMITS

require Capital One client experience.

The Capital One client experience must be in the last 5 years only!

They are no longer accepting Amazon experience.

THIS IS URGENT!!!! Total 13 positions. 2 mid and 11 Senior.

I can still submit nonlocals who can only do video interviews. (they have made some exceptions in the past).

Responsibilities:

We are seeking 12 highly skilled Back-End Java Engineers with deep expertise in building and optimizing scalable data processing systems using Java, Springboot, ETL frameworks, Spark, and AWS services. The ideal candidate will design, develop, and maintain large-scale backend solutions that integrate and transform structured and unstructured data while ensuring reliability, security, and performance.

Key Responsibilities

  • Design and implement data integration using Java, Springboot, and ETL pipelines using AWS Glue, Spark, and related tools.
  • Build and maintain Java-based backend components for data-intensive applications.
  • Develop APIs and microservices that efficiently communicate between internal systems and the data layer.
  • Implement AWS Step Functions, SNS, SQS, Lambda, and S3 to enable seamless data orchestration and message-driven workflows.
  • Optimize performance and scalability of data workflows handling large datasets.
  • Collaborate with DevOps and Data Engineering teams to ensure continuous integration and deployment (CI/CD) best practices.
  • Write clean, testable, and maintainable code using open-source frameworks.
  • Troubleshoot production issues, perform root cause analysis, and implement reliable fixes.
  • Maintain comprehensive technical documentation and contribute to architectural design discussions.

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