Backend Engineer - Java or Python & AWS

Sci Solutions Global
Jersey City, NJ, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

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
+20 more
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

Requirements

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.

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