Business Systems Engineer

Landing Point; Greenwich (CT); On-site; USD 175,000 - 250,000; Full time

Job summary

Landing Point in Greenwich, CT is seeking a Business Systems Engineer to enhance operational efficiency by designing and delivering scalable software solutions across business functions.

You will own the full solution lifecycle—from requirements and architecture to deployment, monitoring, and ongoing support—while partnering with business users to identify problems and craft practical automation and API integrations.

Qualifications

• Five or more years designing, building, and supporting software systems and workflow automation.
• Bachelor’s or Master’s degree in a technical field (CS, engineering, data science, math, economics, or similar).
• Strong coding in Python and SQL with modern data and automation frameworks.
• Experience building production apps, APIs, databases, and data-driven systems.
• Solid understanding of testing, version control, CI/CD, documentation, deployment, and ops.

Responsibilities

• Own the full solution lifecycle from requirements to deployment and support.
• Collaborate with business users to gather requirements and design scalable tech solutions.
• Develop production-quality apps, services, integrations, and automation.
• Build integrations across internal systems, data platforms, and reporting tools.
• Prototype quickly, gather feedback, and iterate to production-ready solutions.
• Maintain documentation and ensure secure, auditable, maintainable systems.
• Evaluate AI capabilities and automation to improve processes.

Skills

Python

SQL

APIs

CI/CD

Cloud services

Education

Bachelor’s or Master’s degree in a technical field

Tools

CI/CD pipelines

Cloud platforms

Job description

Company Overview

A commodities asset manager, launched in 2019, specializes in long-only and alpha products, leveraging extensive expertise in commodity trading and index mechanics. They are seeking a Business Systems Engineer to enhance operational efficiency and streamline business processes across various functions.

Job Responsibilities

• Take ownership of the full solution lifecycle, including requirements gathering, architecture, implementation, deployment, monitoring, and ongoing support.
• Partner directly with business users to identify problems, gather requirements, evaluate tradeoffs, and define practical, scalable technology solutions.
• Design, develop, test, deploy, and maintain production-quality applications, services, integrations, workflows, and automation solutions.
• Develop and maintain integrations across internal systems, data platforms, reporting tools, document repositories, and approved third-party systems.
• Rapidly prototype and evaluate potential solutions, gather user feedback, and evolve successful concepts into reliable, production-ready systems.
• Maintain appropriate documentation standards and controls to ensure solutions are secure, auditable, maintainable, and aligned with business requirements.
• Evaluate emerging technologies, automation frameworks, and AI capabilities to improve business processes and operational efficiency.

Qualifications

• At least five years of experience designing, building, and supporting software systems, workflow automation solutions, and internal technology platforms.
• Bachelor’s or Master’s degree in computer science, engineering, data science, mathematics, statistics, economics, or another quantitative or technical field.
• Strong practical programming and development skills in Python and SQL, with experience using modern data, application development, and automation frameworks.
• Experience designing, building, and supporting production applications, APIs, databases, integrations, and data-driven systems.
• Strong understanding of modern software engineering practices, including testing, version control, code review, CI/CD, documentation, deployment, monitoring, and operational support.
• Working knowledge of APIs, cloud services, authentication, authorization, and secure software design.
• Familiarity with AI-enabled technologies, including large language models, AI APIs, retrieval techniques, and workflow automation frameworks.

Compensation

Salary: $175,000 – $250,000, Plus Bonus