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# Backend Engineer - Java or Python & AWS

- **Company:** Sci Solutions Global
- **Location:** Jersey City, NJ, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Amazon Web Services, Amazon S3, Cloud Database, Cloud Engineering, Databases, Continuous Integration, Data Retention, Database Design, Database Models, Disaster Recovery, Distributed Systems, Identity and Access Management, Information Lifecycle Management, Python (Programming Language), Standard Sql, Amazon Simple Notification Service (SNS), Software Engineering, Workflow Management Systems, Enterprise Data Management, Spring Cloud, Backend, Amazon Relational Database Service, Bitbucket, Route53, Functional Programming, Api Design, Restful APIs, Amazon Simple Queue Service (SQS), Terraform, Jenkins, Microservices
- **Published:** November 5, 2026
- **Apply:** https://www.thejobnetwork.com/job/c018c8de-8197-4f21-8917-99e4ecf2a989/backend-engineer-java-or-python-aws

## About the Role

We are seeking a Cloud Native Backend Engineer with strong Java or Python development experience, AWS expertise, and a background in building APIs and microservices. The engineer will support enterprise data platform capabilities, with a primary focus on multi-region resiliency and additional responsibilities involving data lifecycle management.

The ideal candidate will have hands-on experience developing cloud-native applications, designing databases, automating deployments, and building resilient services in AWS environments., * At least 5 years of applied software engineering experience.

 * Strong proficiency in Java or Python.
 * Experience developing REST APIs and microservices.
 * Hands-on AWS experience with ECS, Lambda, IAM, SQS, SNS, Glue, S3, RDS, and Route 53.
 * Strong SQL, database modeling, and database design skills.
 * Experience with CI/CD tools, particularly Jenkins and Bitbucket.
 * Working knowledge of Terraform and infrastructure as code.
 * Basic understanding of workflow orchestration.
 * Understanding of cloud-native application development, resiliency, and distributed systems.

Preferred Qualifications

 * Experience implementing multi-region resiliency and disaster recovery capabilities.
 * Familiarity with data reconciliation across cloud platforms.
 * Experience with data retention, archiving, and lifecycle management.
 * Exposure to enterprise data platforms and cloud-based data services.