Senior Java Backend Engineer - Cloud Microservices, AWS

MACHINE LEARNING TECHNOLOGIES LLC; Dallas (TX); On-site; USD 110,000 - 170,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC is seeking a Java Backend Developer to design, develop, and maintain scalable backend services and microservices in a Dallas-based environment. You will build robust APIs, work with distributed systems, and optimize cloud-native applications on AWS.

Collaborate with product managers, SREs, security teams, and other stakeholders while driving improvements in reliability, observability, and performance across large-scale workloads.

Qualifications

• 5+ years of hands-on software development experience.
• Strong programming in Java (preferred), Python, Go, or JavaScript.
• Experience building backend apps and RESTful APIs.
• Knowledge of microservices and HA architectures.
• Solid Linux/Unix administration and troubleshooting.

Responsibilities

• Design, develop, and maintain scalable backend services and microservices.
• Build robust APIs and distributed systems supporting large-scale workloads.
• Develop, deploy, and optimize cloud-native apps on AWS.
• Implement and support CI/CD pipelines for reliable releases.
• Collaborate with product managers, SREs, security, and other stakeholders.
• Troubleshoot production issues and perform root cause analysis.
• Improve reliability, observability, scalability, and performance.
• Participate in architecture reviews and technical design discussions.
• Automate infrastructure provisioning and deployment processes using IaC tools.
• Contribute to engineering best practices and continuous improvement.

Skills

Java

Python

Go

JavaScript

REST APIs

Linux/Unix

Object-Oriented Design

Distributed Systems

Tools

Istio

Linkerd

Job description

MACHINE LEARNING TECHNOLOGIES LLC is seeking a Java Backend Developer to design, develop, and maintain scalable backend services and microservices in a Dallas-based environment. You will build robust APIs, work with distributed systems, and optimize cloud-native applications on AWS.

Collaborate with product managers, SREs, security teams, and other stakeholders while driving improvements in reliability, observability, and performance across large-scale workloads.