Full Stack Developer - Pheonix, AZ (Full Time)

Atto Trading, a dynamic quantitative trading firm founded in 2010 and leading in global high-frequency strategies, is looking for a Low-Latency Developer to join our team. We are expanding an international, diverse team, with experts in trading, statistics, engineering, and technology. Our disciplined approach combined with rapid market feedback allows us to quickly turn ideas into profit. Our environment of learning and collaboration allows us to solve some of the world’s hardest problems, together. As a small firm, we remain nimble and hold ourselves to the highest standards of integrity, ingenuity, and effort.  Position Highlights: We are modernizing our trading and research platform to scale our alpha trading business. This platform will enable researchers to explore, test, and deploy sophisticated signals, models, and strategies across asset classes in a robust, fully automated manner while maintaining competitive latency targets. As a Low-Latency Developer, you will be responsible for designing, optimizing, and maintaining high-performance trading systems to minimize latency. Your Mission and Goals: Analyze and optimize the performance of low-latency trading systems by identifying bottlenecks and inefficiencies in the code, and implementing effective solutions.  Develop and adapt the platform to support the demands of a fast-paced trading environment, while effectively managing technical debt. Requirements Over 5 years of experience as a low-latency developer with a focus on performance optimization in a high-frequency trading (HFT) environment. Experience with multiple components of an HFT platform or system, particularly those on the critical path. Experience working at an HFT firm during its startup phase and/or on a trading team is a significant plus. Technical Skills: Deep knowledge of HFT platforms: networking, kernel bypass, market data, order entry, threading, inter-process communication, and strategy APIs. Proven low-latency development and performance optimization in HFT. Strong proficiency in C++. Excellent understanding of CPU caches and cache efficiency. Experience with multithreaded and multi-process synchronization. Good understanding of networking protocols. Skilled in performance profiling and optimization tools. Advanced knowledge of Linux operating systems, including kernel-level device mechanisms. About You: Practical decision-making skills. Excellent communication skills. Strong analytical and problem-solving skills. Passion for trading. Ability to work independently and as part of a team. Benefits Competitive rates of pay. Paid time off (5 weeks). Coverage of health insurance costs. Office lunches. Discretionary bonus system.  Annual base salary range of $150,000 to $300,000. Pay (base and bonus) may vary depending on job-related skills and experience. Our motivation: We are a company committed to staying at the forefront of technology. Our team is passionate about continual learning and improvement. With no external investors or customers, we are the primary users of the products we create, giving you the opportunity to make a real impact on our company's growth. Ready to advance your career? Join our innovative team and help shape the future of trading on a global scale. Apply now and let's create the future together!

Key Responsibilities : Design, Develop, and Implement Machine Learning Models Create and fine-tune machine learning models using Python. Utilize expertise in time series models to understand user queries and intent. Explore potential applications of GenAI to understand user queries and intent. Build and maintain robust data pipelines using Databricks (experience required). Package and deploy the machine learning service using Docker containers . Ensure the service is scalable, reliable, and secure. Write clean, maintainable, and well-documented code using Object-Oriented Programming (OOP) principles. Develop and execute unit tests to ensure code quality and reliability. Collaborate with cross-functional teams including data science, engineering, and product teams to bring the fashion assistant service to life. Participate in client management and project management activities as needed. Required Skills : Python: Expert level proficiency in Python programming with 5+ years of experience Docker: Experience in deploying services using Docker containers. Object-Oriented Programming (OOP) and Unit Testing: Expert in OOP principles and unit test-driven development methodologies. Generative AI (GenAI): Basic understanding of GenAI applications.

We are seeking a dedicated and experienced English Tutor to provide one-on-one support for our son. The ideal candidate will have a strong background in English language and literature, excellent communication skills, and a passion for helping students build confidence in reading, writing, and comprehension. Responsibilities Provide personalized English lessons tailored to our son’s grade level and learning style Assist with reading comprehension, grammar, vocabulary, essay writing, and critical thinking skills Support school assignments, projects, and exam preparation Develop engaging lesson plans that encourage curiosity and academic growth Offer regular feedback and progress updates to parents Qualifications Bachelor’s degree in English, Education, or a related field (preferred) Previous tutoring or teaching experience (1+ year) Strong knowledge of English grammar, writing, and literature Patience, creativity, and the ability to motivate and inspire students Reliable, professional, and able to commit to regular sessions Details Location: In-person at our home in Schedule: 2– sessions per week, flexible Send your resume to get a start.