Java Backend Developer with AWS

MACHINE LEARNING TECHNOLOGIES LLC; Chicago (IL); Ibrido; USD 86.000 - 123.000; Tempo pieno

Descrizione del lavoro

Machine Learning Technologies LLC is seeking a Java Backend Developer with AWS expertise in Chicago. This hybrid, 12-month+ extension role focuses on building scalable microservices, RESTful APIs, and robust cloud architectures using Java 17+, Spring Boot, Python, and AWS services.

You will drive resiliency, observability, and CI/CD automation while mentoring junior engineers and upholding testing standards. A strong foundation in relational databases and AWS tooling is required.

Competenze

• 7+ years of professional backend experience with distributed, high-availability systems.
• Proficiency in Java (17+), Spring Boot, and Python.
• Extensive AWS experience across ECS/Fargate, EventBridge, SQS, SNS, Lambda, S3, CloudWatch.
• Strong PostgreSQL / Aurora PostgreSQL design and query tuning.
• Experience with Jenkins, GitHub Actions, CodePipeline, and CloudFormation.
• Bachelor's degree in CS, Engineering, or related field.

Mansioni

• Design, build, deploy, and maintain scalable microservices and RESTful APIs.
• Ensure resiliency with multi-AZ/Region architectures and DR planning.
• Perform production RCAs and observability via CloudWatch.
• Develop CI/CD pipelines using Jenkins, GitHub Actions, CodePipeline, and IaC.
• Model data and optimize queries in Aurora PostgreSQL.
• Mentor junior developers and enforce testing standards (JUnit,Mockito).

Conoscenze

Java

Spring Boot

Python

AWS Cloud Engineering

Distributed systems

CI/CD

Unit testing

Formazione

Bachelor’s degree in Computer Science, Engineering, or related field

Strumenti

Jenkins

GitHub Actions

AWS CodePipeline

CloudFormation

Descrizione del lavoro

Job Description

Job Overview

• Job ID: J54080
• Job Title: Java Backend Developer with AWS
• Location: Chicago, IL (hybrid)
• Duration: 12 Months + Extension
• Domain Exposure: Manufacturing
• Client: To Be Discussed Later
• Employment Type: W-2, 1099, C2C
• Work Authorization: US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other
• Bill Rate: $76/hour (C2C)

Key Responsibilities

• Cloud-Native & Integration Architecture: Design, build, deploy, and maintain scalable microservices, RESTful APIs, and event-driven architectures utilizing Java 17+, Spring Boot, Python, and AWS integration services.
• Resiliency & Disaster Recovery: Architect fault-tolerant, high-availability solutions across multiple AWS Availability Zones and Regions, conducting failover testing and actively reducing Mean Time to Resolution (MTTR).
• Production Operations & Root Cause Analysis: Investigate complex production incidents, perform root cause analysis (RCA), and implement robust observability frameworks using Amazon CloudWatch.
• DevOps & Pipeline Automation: Build, maintain, and optimize continuous integration and delivery (CI/CD) pipelines leveraging GitHub Actions, Jenkins, AWS CodePipeline, and CloudFormation infrastructure-as-code (IaC).
• Data Modeling & Optimization: Implement relational data models, craft complex queries, and tune database performance on Amazon Aurora PostgreSQL.
• Mentorship & Quality Standards: Drive peer code reviews, champion automated testing standards (JUnit, Mockito), and provide technical mentorship to junior developers.

Required Qualifications

• Experience: 7+ years of professional backend software engineering experience building and supporting distributed, high-availability production systems.
• Core Languages: Advanced, hands-on proficiency in Java (Java 17+), Spring Boot, and Python.
• AWS Cloud Engineering: Extensive hands-on experience across core AWS integration and compute services, including ECS/Fargate, EventBridge, SQS, SNS, Lambda, S3, and CloudWatch.
• Database & Performance: Strong relational database background with PostgreSQL / Amazon Aurora PostgreSQL, including schema design, query optimization, and tuning.
• CI/CD & IaC: Practical experience managing automated deployments using Jenkins, GitHub Actions, AWS CodePipeline, and CloudFormation.
• Testing: Demonstrated proficiency with automated unit and integration testing frameworks (JUnit, Mockito).
• Education: Bachelor’s degree in Computer Science, Engineering, or a related technical discipline (or equivalent practical experience).

Preferred Qualifications

• AWS Certification: Active AWS Certified Solutions Architect, Developer Associate, or Cloud Practitioner certification (highly preferred).
• Domain & Integration Experience: Hands-on experience with Electronic Data Interchange (EDI), B2B messaging integrations, or high-volume transportation/railroad/logistics systems.

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.