Senior Full-Stack Java Engineer — AI, Cloud & Low-Latency

SR Talent Solution Inc.

New York (NY)

Hybrid

USD 140,000 - 190,000

Full time

12 days ago

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Job summary

SR Talent Solution Inc. is seeking a senior, hands-on Full-Stack Java Developer to join our Equities Engineering team in New York.

The role focuses on building scalable, low-latency backend systems, leveraging Java and Spring Boot, with messaging via Kafka and MQ, and deploying to cloud platforms. The ideal candidate has 15+ years of experience in software development, deep Java expertise, and experience with OMS/SOR trading workflows, cloud deployment, and modern DevOps practices.

Qualifications

  • 15 years of professional software development experience.
  • Strong Java/Spring Boot expertise.
  • Experience with Kafka and MQ messaging systems.
  • Cloud experience with AWS/Azure or Google Cloud Platform.
  • SQL/database proficiency.
  • In-memory cache experience with Hazelcast or GemFire preferred.
  • Ability to build scalable, low-latency backend systems.
  • Experience integrating AI coding tools.

Responsibilities

  • Build, design, and maintain core backend components in Java using Kafka/MQ.
  • Develop scalable, low-latency services for front and back office needs.
  • Collaborate with trading, operations, and cross-functional teams.
  • Mentor junior developers and participate in code reviews.
  • Drive migration toward microservices and cloud-based architectures.

Skills

Java
Spring Boot
Kafka
MQ
Cloud platforms
SQL
AI coding tools
Scalability
Low-latency

Education

Bachelor's degree in CS or related

Tools

Hazelcast
GemFire

Job description

SR Talent Solution Inc. is seeking a senior, hands-on Full-Stack Java Developer to join our Equities Engineering team in New York.

The role focuses on building scalable, low-latency backend systems, leveraging Java and Spring Boot, with messaging via Kafka and MQ, and deploying to cloud platforms. The ideal candidate has 15+ years of experience in software development, deep Java expertise, and experience with OMS/SOR trading workflows, cloud deployment, and modern DevOps practices.

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