Lead Software Engineer (Java / AWS)

The AES Group•Chicago, IL
•Hybrid

About The Position

We are seeking an experienced Lead Software Engineer to provide technical leadership in designing and developing cloud-native backend applications using Java, Spring Boot, and AWS. This is a hands-on engineering role responsible for architecting scalable distributed systems, leading technical decisions, mentoring engineers, and driving best practices across cloud-native application development.

Requirements

  • 10+ years of software engineering experience.
  • Strong experience building enterprise-scale backend applications.
  • AWS Cloud Architecture
  • Java (Advanced) and/or Kotlin
  • Spring Boot
  • Microservices Architecture
  • REST API Development
  • OpenAPI / Swagger
  • SQL & Relational Databases
  • NoSQL Databases (DynamoDB, MongoDB, Cassandra)
  • Kafka or Event-Driven Messaging
  • CI/CD Pipelines
  • Build & Deployment Automation
  • Distributed Systems
  • Cloud-Native Development
  • Observability (Logging, Metrics, Tracing)
  • Production Support & Performance Tuning

Nice To Haves

  • 3+ years of technical leadership or team lead experience preferred.
  • Designing highly available distributed systems.
  • Infrastructure as Code.
  • Event-driven architecture.
  • Cloud-native application modernization.
  • Technical architecture and solution design.
  • Agile/Scrum development environment.

Responsibilities

  • Lead the design and development of Java-based cloud-native applications on AWS.
  • Build scalable microservices using Spring Boot.
  • Design and implement RESTful APIs and event-driven services.
  • Architect highly available, fault-tolerant distributed systems.
  • Develop asynchronous messaging solutions using Kafka or similar technologies.
  • Design cloud infrastructure leveraging AWS managed services.
  • Implement Infrastructure as Code and CI/CD best practices.
  • Lead technical design discussions, architecture reviews, and code reviews.
  • Improve system observability through logging, metrics, monitoring, and distributed tracing.
  • Troubleshoot production issues and optimize application performance.
  • Collaborate with Product Owners, Architects, and cross-functional engineering teams.
  • Mentor engineers and establish engineering standards and best practices.
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