Senior Cloud-Native Backend Engineer (Kotlin/AWS/Terraform)

Machine Learning Technologies, LLC

Jersey City (NJ)

On-site

USD 130,000 - 190,000

Full time

9 hours ago
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Job summary

Machine Learning Technologies, LLC in New Jersey, United States, seeks a Senior Backend Engineer to design, build, and operate cloud-native backend platforms using Kotlin, Spring Boot, Spring Cloud, WebFlux, AWS, and Terraform. You will deliver scalable services and APIs with minimal supervision.

The role emphasizes IaC, containerization on AWS ECS, observability, and reliability, with code reviews and production support.

Qualifications

  • Proficient in designing scalable backend services with cloud-native architecture.
  • Experience with Kotlin, Spring Boot, Spring Cloud and WebFlux.
  • Solid knowledge of AWS infrastructure and Terraform for IaC.

Responsibilities

  • Design, develop, and maintain scalable backend platform services and APIs.
  • Build cloud-native microservices using Kotlin, Spring Boot, Spring Cloud, and WebFlux.
  • Deploy, configure, and manage AWS infrastructure using Terraform.
  • Provision AWS resources manually through Infrastructure as Code (IaC) practices and troubleshoot infrastructure-related issues.
  • Configure, deploy, and manage containerized applications on AWS ECS.
  • Collaborate with architecture and platform teams to ensure highly available and resilient systems.
  • Optimize application performance, scalability, and reliability.
  • Implement best practices around observability, monitoring, logging, and operational excellence.
  • Participate in code reviews, technical design discussions, and production support activities.

Skills

Kotlin
Spring Boot
Spring Cloud
WebFlux
AWS
Terraform
AWS ECS

Tools

AWS
Terraform

Job description

Machine Learning Technologies, LLC in New Jersey, United States, seeks a Senior Backend Engineer to design, build, and operate cloud-native backend platforms using Kotlin, Spring Boot, Spring Cloud, WebFlux, AWS, and Terraform. You will deliver scalable services and APIs with minimal supervision.

The role emphasizes IaC, containerization on AWS ECS, observability, and reliability, with code reviews and production support.

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