Java Backend Developer

MACHINE LEARNING TECHNOLOGIES LLC; Dallas (TX); Presencial; USD 110 000 - 170 000; Tempo integral

Resumo da oferta

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.

Qualificações

• 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.

Responsabilidades

• 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.

Conhecimentos

Java

Python

Go

JavaScript

REST APIs

Linux/Unix

Object-Oriented Design

Distributed Systems

Ferramentas

Istio

Linkerd

Descrição da oferta de emprego

Job Overview

• Job ID: J53293
• Job Title: Java Backend Developer
• Location: Dallas, TX
• Duration: 11 Months + Extension
• Domain Exposure: Healthcare
• Work Authorization: US Citizen,Green Card,OPT-EAD,CPT,H-1B,H4-EAD,L2-EAD,GC-EAD
• Client: To Be Discussed Later
• Employment Type: W-2, 1099, C2C

Job Description

Design, develop, and maintain highly scalable backend services and microservices.

Build robust APIs and distributed systems capable of supporting large-scale workloads.

Develop, deploy, and optimize cloud-native applications utilizing AWS services.

Implement and support CI/CD pipelines to enable rapid and reliable software releases.

Collaborate with product managers, infrastructure teams, SREs, security teams, and other stakeholders.

Troubleshoot production issues and conduct root cause analysis for complex system challenges.

Improve system reliability, observability, scalability, and performance.

Participate in architecture reviews, technical design discussions, and code reviews.

Automate infrastructure provisioning and deployment processes using Infrastructure as Code tools.

Contribute to engineering best practices and continuous improvement initiatives.

Required Qualifications

• 5+ years of hands-on software development experience.
• Strong programming expertise in Java (preferred), Python, Go, or JavaScript.
• Extensive experience developing backend applications and RESTful APIs.
• Strong understanding of Object-Oriented Design principles and design patterns.
• Experience building distributed systems and high-availability architectures.
• Strong Linux/Unix administration and troubleshooting skills.

Software Engineering Practices

• Strong understanding of Microservices Architecture
• Knowledge of secure coding principles and application security practices
• Strong analytical, debugging, and problem-solving skills.
• Service Mesh experience (Istio, Linkerd) is considered a plus.

Equal Opportunity Employer

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.