Java Backend Engineer - AWS Microservices (Hybrid Chicago)

Machine Learning Technologies, LLC; Chicago (IL); Hybrid; USD 86,000 - 123,000; Full time

Job summary

Machine Learning Technologies, LLC in Chicago, IL seeks a Java Backend Developer with AWS to design, implement, and operate scalable microservices and RESTful APIs. The role emphasizes cloud-native architectures, high availability, and robust CI/CD pipelines in a hybrid work setting.

Required 7+ years in backend, Java 17+, Spring Boot, Python, and strong AWS experience (ECS/Fargate, EventBridge, SQS, SNS, Lambda, S3, CloudWatch). A Bachelor's in CS/Engineering is expected.

Qualifications

• 7+ years of backend software engineering experience.
• Proficient in Java (17+), Spring Boot, and Python.
• Extensive AWS Cloud experience with core services (ECS/Fargate, EventBridge, SQS, SNS, Lambda, S3, CloudWatch).
• Strong relational DB skills with PostgreSQL or Amazon Aurora PostgreSQL.
• CI/CD and IaC with Jenkins, GitHub Actions, AWS CodePipeline, and CloudFormation.
• Bachelor's degree in Computer Science, Engineering, or a related technical discipline.

Responsibilities

• Design, implement, deploy, and maintain scalable microservices and RESTful APIs.
• Architect fault-tolerant, high-availability solutions across AWS regions and AZs.
• Investigate production incidents and perform root cause analysis with observability tooling.
• Build, maintain, and optimize CI/CD pipelines and IaC workflows.
• Model relational data and optimize queries for Aurora PostgreSQL.
• Provide mentorship and enforce automated testing standards.

Skills

Java 17+

Spring Boot

Python

AWS Cloud

Education

Bachelor's degree in CS/Engineering or related

Tools

ECS/Fargate

EventBridge

SQS

SNS

Lambda

CloudWatch

CodePipeline

Jenkins

GitHub Actions

CloudFormation

Aurora PostgreSQL

Job description

Machine Learning Technologies, LLC in Chicago, IL seeks a Java Backend Developer with AWS to design, implement, and operate scalable microservices and RESTful APIs. The role emphasizes cloud-native architectures, high availability, and robust CI/CD pipelines in a hybrid work setting.

Required 7+ years in backend, Java 17+, Spring Boot, Python, and strong AWS experience (ECS/Fargate, EventBridge, SQS, SNS, Lambda, S3, CloudWatch). A Bachelor's in CS/Engineering is expected.