Lead Java Developer

Machine Learning Technologies, LLC; New Jersey; On-site; USD 90,000 - 130,000; Full time

Job summary

Machine Learning Technologies, LLC is seeking a backend engineer to develop and maintain scalable services for a modern financial product. You will work with Java, microservices, APIs, and Kafka on Azure, focusing on secure, high-performance implementations.

You will collaborate with senior engineers, participate in code reviews, and support refactoring and improvements while following Agile practices and CI/CD processes.

Qualifications

• Backend software engineer with strong Java experience.
• Experience with microservices architecture and APIs.
• Familiarity with Kafka and cloud platforms (Azure).
• Ability to participate in code reviews and follow coding standards.
• Adept in Agile development and CI/CD processes.

Responsibilities

• Develop, maintain, and optimize backend services for a financial product.
• Collaborate with senior engineers to scale, secure, and improve performance.
• Work with QA and DevOps to integrate services into CI/CD pipelines.
• Participate in Agile ceremonies and contribute to refactoring efforts.

Skills

Java

Microservices

APIs

Kafka

Azure

Cloud-native

DevOps

Job description

• Develop and maintain backend services for a modern financial product using Java, Microservices/APIs, and Kafka on Azure.
• Work with senior engineers to build scalable, secure, high-performance services and learn cloud-native and DevOps best practices.
• Participate in code reviews; follow coding standards; support refactoring and improvements.
• Collaborate with QA and DevOps to integrate services into CI/CD; troubleshoot defects and performance issues under guidance; participate in Agile ceremonies.

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.