Software Engineer

NJF Global Holdings Ltd; New York (NY); On-site; USD 120,000 - 170,000; Full time

Job summary

NJF Global Holdings Ltd in New York is seeking an experienced Python Software Engineer to help build data platforms, distributed systems and research infrastructure for analytical workflows.

You will work with researchers, data scientists and engineers to create scalable systems for ingestion, transformation and analysis of large datasets, while improving performance and reliability across production services.

Qualifications

• 5+ years of professional software engineering experience with Python.
• Experience building distributed systems and data-intensive applications.
• Bachelor's degree in CS/CE or equivalent practical experience.

Responsibilities

• Design, develop, and maintain high-performance Python applications and services.
• Build and optimise distributed systems that process large-scale datasets.
• Develop data pipelines and research platforms to support analytics workflows.
• Collaborate with researchers, data scientists and engineers to accelerate data exploration and model evaluation.
• Improve scalability, reliability and observability of production systems.
• Drive performance optimisation across data-intensive backend services.
• Contribute to architecture decisions, standards and best practices.
• Take ownership of projects from design through deployment and support.
• Identify opportunities to improve platform capabilities and developer productivity.

Skills

Python

Distributed systems

Data processing

Linux

Software architecture

CI/CD practices

Education

Bachelor's degree in Computer Science or related field

Tools

CI/CD tooling

Containers / orchestration

Cloud infrastructure

Job description

We are seeking an experienced Python Software Engineer to join a team responsible for building the data platforms, distributed systems and research infrastructure that power advanced analytical and data-driven decision making.

This role sits at the intersection of software engineering, large-scale data processing and platform development. You will work closely with researchers, data scientists and engineers to create scalable systems that enable the efficient ingestion, transformation and analysis of large and complex datasets.

The ideal candidate is passionate about building robust software, enjoys solving challenging technical problems and thrives in an environment that values innovation, ownership and collaboration.

What You'll Do

• Design, develop and maintain high-performance Python applications and services.
• Build and optimise distributed systems that process and manage large-scale datasets.
• Develop data pipelines and research platforms that support analytical workflows and experimentation.
• Collaborate with researchers, data scientists and engineers to create tools that accelerate data exploration, feature development and model evaluation.
• Improve the scalability, reliability and observability of production systems.
• Drive performance optimisation across data-intensive applications and backend services.
• Contribute to architecture decisions, engineering standards and best practices.
• Take ownership of projects from design through deployment and ongoing support.
• Continuously identify opportunities to improve platform capabilities, developer productivity and system efficiency.

Skills & Experience

• 5+ years of professional software engineering experience using Python.
• Strong experience building distributed systems, backend platforms or data-intensive applications.
• Proven experience working with large datasets and scalable data processing solutions.
• Experience developing software within Linux-based environments.
• Solid understanding of software architecture, systems design and performance optimisation.
• Experience with modern engineering practices including testing, automation and CI/CD.
• Bachelor's degree in Computer Science, Computer Engineering or a related technical discipline, or equivalent practical experience.

Nice to Have

• Experience building research, analytics or data platforms.
• Exposure to distributed computing or parallel processing technologies.
• Experience with cloud infrastructure, containerisation or orchestration technologies.
• Familiarity with high-performance computing environments.