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Remote Python Django Developer Jobs in Austin, TX

Cotality

Principal Software Engineer (Python)

Austin, TX · On-site +1

$133K - $179K/yr

The hybrid-remote Principal Software Development Engineer leads the design, development, and ... Utilize Git or similar, Unix command line, Python, FastAPI, FastMCP, and ADK to build and enhance ...

Hired Recruiters

Senior DevOps Engineer

Austin, TX · On-site +1

$128K - $165K/yr

Senior DevOps for Pienso * Funding $7M * Founded 2016 ... Remote * Salary $150k - $200k * Seed Company * Skills: Ansible, Bash, Python, Terraform, Docker ...

Mondo

Sr DevOps Engineer T4

Austin, TX · Remote

$65 - $75/hr

Remote Start Date Is: ASAP Duration: 12 Month Contract (Potential Conversion After 1 Year ... Develop automation frameworks, tooling, and scripts using Python and Bash * Architect reusable ...

New

Mondo

Sr DevOps Engineer T4

Austin, TX · Remote

$65 - $75/hr

Remote Start Date Is: ASAP Duration: 12 Month Contract (Potential Conversion After 1 Year ... Develop automation frameworks, tooling, and scripts using Python and Bash * Architect reusable ...

New

CSC Generation

Software Engineering Manager

Austin, TX · On-site +1

Austin (Hybrid) / Remote (United States) About the Role As our Software Engineering Manager , you ... Node.js, Python, or Django. * Demonstrated ability to be at least 50% hands-on -- writing ...

Driver AI Inc.

DevOps Engineer

Austin, TX · Remote

$52.25 - $71.50/hr

Remote Company: Driver AI Type: Full-time Introduction At Driver, we're building systems that turn ... Write code (Python, Go, or similar) to improve tooling and workflows * Manage and optimize Linux ...

Driver AI Inc.

DevOps Engineer

Austin, TX · On-site +1

$150K - $250K/yr

Remote Company: Driver AI Type: Full-time Introduction At Driver, we're building systems that turn ... Write code (Python, Go, or similar) to improve tooling and workflows * Manage and optimize Linux ...

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All JobsRemote Python Django Developer JobsRemote Python Django Developer Jobs in Austin, TX

Remote Python Django Developer information

See Austin, TX salary details

$22.8K

$114.1K

$395.9K

How much do remote python django developer jobs pay per year?

As of Jun 19, 2026, the average yearly pay for remote python django developer in Austin, TX is $114,068.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,400.00 and $157,600.00 per year, depending on experience, location, and employer.

What does a typical workday look like for a Remote Python Django Developer?

As a Remote Python Django Developer, your typical day involves participating in virtual stand-ups, collaborating with team members through chat and video calls, and writing or reviewing code to implement new features or fix bugs. You will often work with project management tools like Jira or Trello to track your tasks and communicate progress. Regularly, you'll interact with front-end developers, UX/UI designers, and QA testers to ensure seamless integration and a robust end product. Balancing independent problem-solving with cross-functional teamwork is key to succeeding in this remote role.

What are the key skills and qualifications needed to thrive in the Remote Python Django Developer position, and why are they important?

A Remote Python Django Developer should have strong proficiency in Python, Django, RESTful APIs, and a solid understanding of relational databases, with a degree in computer science or equivalent experience often required. Familiarity with version control systems like Git, cloud platforms such as AWS or Azure, and knowledge of containerization tools like Docker are commonly sought after, while Django certifications can be advantageous. Excellent communication, problem-solving ability, and self-motivation are valuable soft skills, enabling effective remote collaboration and project management. These skills ensure the developer can efficiently build and maintain scalable web applications while navigating the challenges of a distributed work environment.

What is a Remote Python Django Developer job?

A Remote Python Django Developer job involves designing, developing, and maintaining web applications using Python and the Django framework while working from a remote location. Developers are responsible for writing clean, efficient code, troubleshooting issues, and collaborating with teams using online tools. They may also integrate APIs, optimize database performance, and ensure security best practices. This role requires strong Python and Django skills, along with experience in front-end technologies, databases, and version control systems like Git.

What are the most commonly searched types of Python Django Developer jobs in Austin, TX? The most popular types of Python Django Developer jobs in Austin, TX are:
What are popular job titles related to Remote Python Django Developer jobs in Austin, TX? For Remote Python Django Developer jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Remote Python Django Developer jobs in Austin, TX look for? The top searched job categories for Remote Python Django Developer jobs in Austin, TX are:
What cities near Austin, TX are hiring for Remote Python Django Developer jobs? Cities near Austin, TX with the most Remote Python Django Developer job openings:
Remote Python Django Developer jobs near you
Infographic showing various Remote Python Django Developer job openings in Austin, TX as of June 2026, with employment types broken down into 33% Temporary, and 67% Contract. Highlights an 100% Remote job distribution, with an average salary of $114,068 per year, or $54.8 per hour.

Chemist with Python Proficiency - AI Trainer

Kake Group

Austin, TX • Remote

$51.50 - $71/hr

Contractor

Posted 2 days ago

Job description

We're building a talent pool of Chemistry professionals with Python proficiency to contribute to project-based AI development initiatives, focused on evaluating and enhancing frontier AI models.

Designed for chemistry specialists who enjoy deep technical problem-solving, this pipeline role is for those looking to apply their computational expertise to evaluate and push the boundaries of frontier AI models, relying on domain-specific tools such as GROMACS, PySCF, ORCA, Quantum ESPRESSO, or AutoDock Vina, with verifiable, code-graded answers run inside isolated Linux environments.

Key Responsibilities

  • Identify an appropriate computational chemistry package and build problems whose solution genuinely hinges on that tool's core capabilities, whether force fields, integrators, electronic-structure methods, basis sets, or pseudopotential workflows.
  • Develop full Python solutions for each problem, providing all necessary input files, molecular geometries, and crystal structure definitions as required.
  • Establish the correct numerical output and define how close the AI model needs to get, using tolerance values appropriate to the chemical context.
  • Run the problem against the AI model across multiple parallel attempts, analyzing where it succeeds or falls short, and adjusting difficulty until the pass rate falls between 10% and 30%.
  • Tune molecular geometries, basis sets, and convergence thresholds iteratively, building an understanding of how the model navigates complex simulation environments.
  • Hand off completed tasks to a senior reviewer in your subfield and refine based on their feedback before final submission.

Core Requirements

  • Academic background in Chemistry or a closely related field.
  • At least 2 years of hands-on experience in chemistry research, applied work, or teaching.
  • Solid Python skills, applied to writing and validating computational solutions.
  • Capacity to build problems that cannot be solved without specialized computational chemistry software.
  • Excellent written and verbal communication skills in English.
  • Ability to work independently in a remote, fast-paced environment.

Nice-to-Have

  • Working knowledge of one or more domain-specific computational chemistry tools, including but not limited to GROMACS, LAMMPS, PySCF, ORCA, xtb, CREST, Quantum ESPRESSO, phonopy, pymatgen, AutoDock Vina, or GNINA, or a demonstrated ability to get up to speed independently.
  • Prior exposure to how frontier AI models approach complex simulation tasks.
  • Knowledge spanning more than one chemistry domain, such as molecular dynamics, quantum chemistry, or molecular docking.
  • Familiarity with containerized or sandboxed Linux execution environments.

Please Note: Due to the high volume of applications, only shortlisted candidates will be contacted.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.