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Remote Python Trading Jobs in Texas (NOW HIRING)

Remote or Austin, TX About the Role Our core innovation, the Driver Transpiler, treats software ... trade-offs, async task orchestration). * Proficient in Python; experience with at least one ...

Whether you've got deep experience in commercial real estate, skilled trades or technology, or you ... Proficiency in Python/PySpark for data analysis and transformation * Experience with cloud-based ...

Experience managing and collaborating with remote teams. * Proven leadership and people management ... Proficiency in SQL, Python, and R, with a focus on AI frameworks and agent libraries. * Experience ...

US-Remote About the role The Insights & Analytics team at LTK is a core driver of how the company ... Experience with Python, R, or similar tools for analysis or automation is a plus, but not required.

Software Engineer - Backend

Austin, TX · On-site +1

$175K - $275K/yr

Remote or Austin, TX About the Role Our core innovation, the Driver Transpiler, treats software ... trade-offs, async task orchestration). * Proficient in Python; experience with at least one ...

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Remote Python Trading information

What is a Remote Python Trading job?

A Remote Python Trading job involves developing, maintaining, and optimizing trading algorithms or systems using the Python programming language, all while working remotely. Professionals in this role typically work for financial institutions, hedge funds, or fintech companies, analyzing market data, building automated trading strategies, and ensuring their code runs efficiently and securely. Strong programming skills in Python, knowledge of financial markets, and experience with trading platforms or APIs are essential. The remote nature of the job allows professionals to work from anywhere with a reliable internet connection.

What is the difference between Remote Python Trading vs Remote Quantitative Analyst?

AspectRemote Python TradingRemote Quantitative Analyst
Required CredentialsPython programming, finance knowledge, data analysis skillsMathematics, statistics, programming, finance or economics degree
Work EnvironmentFinancial firms, hedge funds, trading companiesFinancial institutions, investment firms, research organizations
Industry UsageHigh in trading and algorithm developmentHigh in risk modeling and quantitative research
Common Search/ComparisonYesYes

Remote Python Trading focuses on developing trading algorithms using Python, primarily in trading firms. Remote Quantitative Analysts work on financial modeling and risk analysis, often requiring similar skills but with a broader focus on quantitative research. Both roles involve programming and finance, but their core responsibilities differ in application and industry emphasis.

What are the key skills and qualifications needed to thrive as a Remote Python Trading professional, and why are they important?

To thrive as a Remote Python Trading professional, you need strong proficiency in Python programming, quantitative analysis, and a solid understanding of financial markets, often supported by a relevant degree in finance, mathematics, or computer science. Experience with trading platforms, APIs, backtesting frameworks, and familiarity with libraries like pandas, NumPy, and scikit-learn are typically required. Analytical thinking, problem-solving, and effective remote communication are essential soft skills for success in this role. These skills enable the development of robust trading algorithms, effective risk management, and seamless collaboration in a distributed work environment.

What are some common challenges faced by remote Python trading developers, and how can they be addressed?

Remote Python trading developers often encounter challenges such as managing effective communication with distributed teams, ensuring code reliability in automated trading systems, and keeping up with rapidly evolving market requirements. To address these, it’s important to establish clear communication channels (such as daily stand-ups or regular check-ins), write well-documented and thoroughly tested code, and stay updated on current trading technologies and market regulations. Additionally, leveraging collaborative tools like version control systems and implementing robust monitoring for trading algorithms helps ensure both team alignment and system stability.
What job categories do people searching Remote Python Trading jobs in Texas look for? The top searched job categories for Remote Python Trading jobs in Texas are:
What cities in Texas are hiring for Remote Python Trading jobs? Cities in Texas with the most Remote Python Trading job openings:
Infographic showing various Remote Python Trading job openings in Texas as of June 2026, with employment types broken down into 1% Internship, 93% Full Time, 3% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.

Software Engineer - Backend

Driver AI Inc.

Austin, TX • Remote

Other

Medical, Dental, Vision, Life, Retirement

Posted 7 days ago


Job description

Software Engineer - Backend Introduction

At Driver, we're building systems that turn source code into human language. The tech stack includes a core compiler-like engine, a heavily asynchronous/distributed backend server, and a frontend web application that provides a rich user experience. As a backend engineer, you will help scale and extend our backend, build new product functionality, and make sound architectural decisions that keep pace with a fast-growing system.

About Driver

We're an early-stage startup backed by Y Combinator and Google Ventures that combines first principles technical approaches and applied LLM expertise to tackle context engineering at scale. Driver builds the context layer for employees and AI agents alike to use in developing software.

Working at Driver

Driver is an early-stage but fast-growing startup. As such, we take advantage of that which startups can excel: delivery speed, flexibility, and enjoying working with a close-knit team.

Organizational and engineering values at Driver include first-principles thinking, correct by construction, writing things down, experimentation and iteration, pragmatism, commitment to effective communication and transparency, autonomy, and ambition.

Job Overview

Title: Software Engineer - Backend

Location: Remote or Austin, TX

About the Role

Our core innovation, the Driver Transpiler, treats software explanation as a compilation problem. Instead of emitting machine code, it emits human language.

The transpiler generates human language content at large volumes and highly variable levels of abstraction and requires significant asynchronous task orchestration due to the high volume of highly constrained LLM inference calls to external APIs.

Major established components of our backend today include the data model to support the compiler's content generation and coordination with codebase assets in version control system (VCS) providers like GitHub, containerized deployment in a distributed cloud service, and an internal API layer consumed by both our frontend and external integrations, and an MCP server that delivers our computed content to AI agents.

Key cross-functional interactions include coordinating with the transpiler team on data model and task orchestration, working with the DevOps and infrastructure team on distributed deployment and job execution, and collaborating with the frontend and product team on APIs and customer-facing MCP interfaces.

Key Responsibilities
  • Core backend work:
    • Contribute to building an efficient and scalable backend data model.
    • Build and maintain critical backend integrations (e.g., VCS providers).
    • Build and maintain the backend web server.
    • Design, build, and maintain internal APIs for our web application.
    • Build and maintain backend APIs for our Model Context Protocol (MCP) products.
    • Build foundations that scale.
  • Interface with the transpiler team on:
    • Efficient data model for transpiler content.
    • Asynchronous and distributed implementation for transpiler task orchestration.
  • Bring strong architectural instincts to the team:
    • Identify and address scalability, correctness, and maintainability risks early.
    • Write clean, well-structured code that is readable by both humans and LLMs.
    • Distinguish robust tests from fragile ones; build systems that are easy to verify.
  • Embrace AI-assisted development:
    • Use agentic coding tools as a core part of your workflow to accelerate delivery.
    • Apply your architectural judgment to validate, guide, and extend AI-generated code.
  • Interface with the frontend team on:
    • Co-design the internal API for the FE and important interface contracts.
    • The best way to model data communicated between BE and FE.
  • Interface with the DevOps/Infrastructure team on:
    • Distributed task orchestration implementation.
    • Container and distributed job implementation.
  • Communicate effectively with team members and across key team interfaces.
Qualifications

Education: Bachelor's degree in Computer Science, Engineering, or a related field.

Experience: Minimum 3 - 5 years as a backend engineer. 7+ years experience preferred.

Required Technical Skills

  • Experience building and scaling backend systems, with a strong grasp of distributed systems fundamentals (queuing, consistency trade-offs, async task orchestration).
  • Proficient in Python; experience with at least one statically typed language (e.g., Rust, Go, Java, C++) and a strong grasp of data-structure-oriented design - you think carefully about types, contracts, and correctness, not just getting code to run.
  • Strong API design instincts: knows how to define clean, stable interfaces and contracts that are easy to consume and hard to misuse.
  • Strong experience with asynchronous programming paradigms.
  • Strong understanding of data model design, particularly for relational databases.
  • Strong instincts for architecture: knows what good looks like, can identify fragile code and tests before they become problems.
  • Experience building monitoring, logging, and testing in larger backend systems.
  • Experience building and maintaining REST APIs at scale.
  • Experience with task orchestration and distributed job queue technologies.
  • Actively embraces AI-assisted development - uses agentic coding tools as a productivity multiplier and is energized by, not resistant to, this shift in how software is built.

Preferred and Nice-to-Have Technical Skills

  • Experience building MCP-style service interfaces.
  • Experience with containerization and container orchestration (Docker, Kubernetes).
  • Experience with identity and access management (IdM) systems and integrations.
  • Experience working with LLM model APIs and agent toolchains; understanding of how context flows through an agentic system.
Why Join Driver

You'll work on technology at the intersection of language theory, compiler design, and generative AI, building systems that expand how both humans and machines understand code.

You'll also have an outsized impact: this is a core product role in a fast-growing company, where the things you build will directly shape how engineers and AI collaborate in the next decade.

Benefits
  • Competitive Compensation Packages - Cash & Equity
  • Flexible Work Culture
  • Unlimited Time Off + 12 Paid Company Holidays
  • Insurance - Health, Dental, & Vision
  • Life Insurance & FSA Accounts
  • 401(k) Retirement Accounts - Traditional, Roth, or Both
  • Quarterly Team Offsites

Driver is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.