Java Backend Developer with AWS

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

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Title: Java Backend Developer with AWS

Location: Chicago, IL (hybrid)

Duration: 12 Months + Extension

Bill Rate: $76/hour (C2C)

Job Type: W-2, 1099, C2C

Client: To Be Discussed Later

Work Authorization:US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

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.

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.