Senior Java Backend Engineer

Lorhan Corporation; Newark (NJ); Vor Ort; USD 160.000 - 210.000; Vollzeit

Zusammenfassung

Lorhan Corporation is seeking an experienced Senior Backend Engineer to design, develop, and enhance scalable backend systems. The role focuses on cloud-native architectures, microservices, and event-driven patterns, with hands-on expertise in Kafka and cloud platforms.

The ideal candidate has 12+ years of backend experience, strong Java/Python skills, and a track record of delivering high-performance, low-latency solutions within distributed systems.

Qualifikationen

• 12+ years of backend software engineering experience.
• Proficiency in Java and Python.
• Extensive experience with microservices and RESTful or asynchronous APIs.
• Strong understanding of distributed systems, concurrency, and scalability.
• Hands-on cloud experience (AWS, Azure, or Google Cloud).
• Experience with event streaming/messaging (Apache Kafka or equivalent).
• Strong problem-solving, debugging, and analytical skills.
• Ability to work in complex, evolving technical environments.

Aufgaben

• Design, develop, and maintain scalable, cloud-native backend services.
• Build and support event-driven and asynchronous systems using Apache Kafka or equivalent messaging platforms.
• Engineer low-latency, high-throughput systems with strong resiliency and fault tolerance.
• Optimize performance for compute-intensive and data-intensive workloads.
• Collaborate with platform engineering, DevOps, and Front Office teams to deliver end-to-end solutions.
• Participate in architecture discussions, code reviews, and production readiness assessments.
• Troubleshoot production issues and implement improvements in performance, reliability, and scalability.
• Establish engineering standards, promote best practices, and mentor team members.

Kenntnisse

Java

Python

Tools

Apache Kafka

AWS

Azure

Google Cloud Platform

Jobbeschreibung

We are seeking an experienced Senior Backend Engineer to design, develop, and enhance scalable, cloud-native, and high-performance backend systems. The ideal candidate will have extensive backend engineering experience, strong programming skills, and a solid understanding of distributed systems, microservices, and event-driven architectures.

The successful candidate will demonstrate a growth mindset, adapt quickly to emerging technologies, and thrive in complex engineering environments.

Key Responsibilities

• Design, develop, and maintain scalable, cloud-native backend services.
• Build and support event-driven and asynchronous systems using Apache Kafka or equivalent messaging platforms.
• Engineer low-latency, high-throughput systems with strong resiliency and fault tolerance.
• Optimize performance for compute-intensive and data-intensive workloads.
• Collaborate with platform engineering, DevOps, and Front Office teams to deliver end-to-end solutions.
• Participate in architecture discussions, code reviews, and production readiness assessments.
• Troubleshoot production issues and implement improvements in performance, reliability, and scalability.
• Establish engineering standards, promote best practices, and mentor team members.

Required Qualifications and Skills

• 12+ years of experience in backend software engineering.
• Strong proficiency in Java, Python, or similar backend programming languages.
• Extensive experience developing microservices and RESTful or asynchronous APIs.
• Strong understanding of distributed systems, concurrency, and scalability patterns.
• Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Practical experience with event streaming and messaging technologies, particularly Apache Kafka or equivalent.
• Strong problem-solving, debugging, and analytical skills.
• Ability to work effectively in complex, evolving technical environments.

Preferred Qualifications

• Experience building high-performance, low-latency backend applications.
• Experience working in financial services or enterprise technology environments.
• Familiarity with production monitoring, system reliability, and performance optimization.
• Experience collaborating with DevOps, platform engineering, and business-facing technology teams.
• Experience mentoring engineers and contributing to technical architecture decisions.