Java/AWS Backend Developer

Ampcus Inc
Wilmington, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Wilmington, United States of America

Tech stack

Java
Agile Methodologies
Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
JIRA
Batch Processing
Continuous Integration
ETL
Data Warehousing
Software Debugging
Web Development
SAS (Software)
SQL Databases
Snowflake
Spark
Spring-boot
Backend
Terraform

Job description

  • Java
  • Spring Boot
  • Backend Development
  • AWS (S3, EMR, Lambda, Glue, Athena, ECS/EKS)
  • ETL / Batch Processing
  • SQL / Data Warehouse Concepts
  • Agile / Jira / CI/CD
  • Debugging & Production Support
  • Snowflake exposure
  • Terraform exposure
  • AI tooling exposure (Copilot, automation tools)
  • Spark / Java Spark preferred

Requirements

  • Environment is highly backend-focused with no UI/web development.
  • Heavy ETL/batch processing environment.
  • AWS migration from legacy SAS platform.
  • Candidate must be strong in debugging and independent problem solving.
  • Strong communication required due to cross-functional work with platform engineers and compliance teams.
  • Spark is preferred but can be learned by strong Java developers.
  • Snowflake knowledge preferred but not mandatory.
  • Team expanding with long-term potential.
  • Candidate should be comfortable supporting compliance remediation efforts and automation initiatives.
  • AI tool familiarity highly valued due to enterprise-wide adoption efforts.

Screening Checklist

  • 3+ years Java development experience
  • Strong Spring Boot backend experience
  • Experience with batch processing / ETL pipelines
  • Hands-on AWS experience
  • Experience with S3 and EMR
  • Experience with Lambda / Glue / Athena
  • Comfortable debugging independently
  • Agile / Jira / Sprint experience
  • SQL / data warehouse understanding
  • Snowflake exposure
  • Terraform exposure
  • AI tooling familiarity
  • Comfortable with Zoom coding interviews
  • Open to hybrid onsite model
  • Good communication skills

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