Lead Software Engineer — Java Microservices & Data Streaming

ARCHER

Chicago (IL)

On-site

USD 120,000 - 180,000

Full time

5 days ago
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Benefits offered by this job

Health Care Coverage
On-Site Health And Wellness Centers
Retirement Savings Plan
Backup Childcare
Tuition Reimbursement
Mental Health Support
Financial Coaching

Job summary

ARCHER is seeking an experienced Java engineer to design, develop, test, and operate Java/Spring Boot microservices and real-time data products on a secure, scalable platform in Chicago. You will own features end to end, drive performance improvements, review code, and support production incidents while promoting AI-assisted engineering practices.

The ideal candidate has five-plus years of software engineering experience, expert Java skills, and hands-on work with Spring, AWS, distributed

Qualifications

  • At least five years of applied software engineering experience.
  • Expert Java proficiency with Spring, AWS, distributed systems, and microservices.
  • Experience with databases and modern DevOps/CI-CD practices.

Responsibilities

  • Design, develop, test, and operate Java/Spring Boot microservices and real-time data products on a secure, scalable platform.
  • Own features end to end, improve performance and reliability, review code, support production incidents, and promote effective AI-assisted engineering practices.

Skills

Java
Spring Boot
Spring Cloud
Spring Data
Spring Security
AWS
Distributed Systems
Microservices
Kafka
Kinesis
Spark Structured Streaming
Databricks
MongoDB
Snowflake
Docker
Kubernetes

Job description

ARCHER is seeking an experienced Java engineer to design, develop, test, and operate Java/Spring Boot microservices and real-time data products on a secure, scalable platform in Chicago. You will own features end to end, drive performance improvements, review code, and support production incidents while promoting AI-assisted engineering practices.

The ideal candidate has five-plus years of software engineering experience, expert Java skills, and hands-on work with Spring, AWS, distributed

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