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Conda Jobs (NOW HIRING)

Point72

Quantitative Developer

Chicago, IL · On-site

Proficiency in Python, including in the object-oriented design, unit/reg testing, conda environment management. * Knowledge of SQL, JavaScript, Apache airflow. * Strong communication skills.

IFLOWSOFT Solutions Inc.

Sr Java Developer

Pasadena, CA · On-site

$62.50 - $79.75/hr

Senior level knowledge in the following: 1. Java, Microservices and REST API development 2. Python and Conda Linux and Tomcat 3. Hands on experience with coding highly scalable and available systems ...

New

Pyramid Consulting, Inc

Python Developer

Mclean, VA · On-site

$51 - $70.25/hr

... Conda, pip, Jira, Gitlab, Confluence • Bachelor's degree in computer science or related field Company : Pyramid Consulting, a global leader in workforce and technology solutions, empowers ...

Trinity Global Consulting

DevOps Engineer

Springfield, VA · On-site

$55.25 - $75.50/hr

Lead design of the next-generation Python package creation process; manage complex Conda recipes and environments * Build and manage build infrastructure (runners, nodes, registries) using automated ...

Trinity Global Consulting

DevOps Engineer

Springfield, VA · On-site

$55.25 - $75.50/hr

Lead design of the next-generation Python package creation process; manage complex Conda recipes and environments * Build and manage build infrastructure (runners, nodes, registries) using automated ...

Mindlance

Modeler Developer - Python

Mclean, VA · On-site

$51.50 - $71/hr

Build CI/CD Tools: gradle, Jenkins, git, Conda, pip, Jira, Gitlab, Confluence * Bachelor's degree in computer science or related field. Preferred Skills: * Work independently contributing to the ...

Trinity Global Consulting

DevOps Engineer

Springfield, VA · On-site

$55 - $75.50/hr

Lead design of the next-generation Python package creation process; manage complex Conda recipes and environments * Build and manage build infrastructure (runners, nodes, registries) using automated ...

J5 Consulting

AI/ML Solutions Engineer

Chantilly, VA · On-site

$84K - $112K/yr

Proficiency in AI/ML programming languages such as Python, Java, C++, and Conda. * Hands-on experience in training AI models and integrating pre-trained models into dataflows and software ...

J5 Consulting

AI/ML Solutions Engineer

Chantilly, VA · On-site

$84K - $112K/yr

Proficiency in AI/ML programming languages such as Python, Java, C++, and Conda. * Hands-on experience in training AI models and integrating pre-trained models into dataflows and software ...

Tamarind Bio, Inc

Infrastructure Engineer

San Francisco, CA · On-site

$126K - $166K/yr

Python, React, AWS (EC2, S3, DynamoDB), Docker, CUDA, Conda, TensorFlow/PyTorch; notebooks; bash/Slurm; APIs & web apps. Requirements * Solid programming and automation skills * Experience with ...

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Conda information

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How much do conda jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for conda in the United States is $26.34, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $30.77 per hour, depending on experience, location, and employer.

What are the most common challenges faced by professionals managing Conda environments?

Professionals managing Conda environments often encounter challenges related to package compatibility, dependency conflicts, and keeping environments reproducible across different machines. Balancing the needs of multiple projects, each requiring specific library versions, can require careful organization and proactive communication with team members. Staying up-to-date with new Conda features and troubleshooting complex installation issues are also common parts of the role. However, developing a strong understanding of Conda’s commands and best practices can make managing these challenges much smoother over time.

What is a Conda job?

A Conda job typically refers to a task or workflow that utilizes Conda, an open-source package and environment management system. Conda is commonly used in data science, machine learning, and software development to create isolated environments with specific dependencies. A Conda job might involve running scripts, training models, or managing software packages within a predefined environment. It ensures reproducibility and simplifies dependency management across different systems.

What are the key skills and qualifications needed to thrive in the Conda position, and why are they important?

To thrive as a Conda environment manager or administrator, you need a solid understanding of Python programming, package management, and version control, often backed by experience in scientific computing or data science. Familiarity with Conda commands, virtual environment setup, and integration with tools like Jupyter and Docker is usually required. Strong problem-solving, organizational abilities, and clear communication are vital soft skills for supporting teams and troubleshooting package conflicts. These skills help ensure smooth workflows and efficient dependency management in collaborative, research-driven, or data-centric organizations.

More about Conda jobs
What are the most commonly searched types of Conda jobs? The most popular types of Conda jobs are:
What job categories do people searching Conda jobs look for? The top searched job categories for Conda jobs are:
Conda jobs near you
Infographic showing various Conda job openings in the United States as of July 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution, with an average salary of $54,791 per year, or $26.3 per hour.

Founding Software Engineer

Tamarind Bio, Inc

San Francisco, CA • On-site

Full-time

Re-posted 27 days ago

Job description

About Tamarind Bio
We enable any scientist to access AI-powered drug discovery. Thousands of scientists from large pharma companies, top biotechs, and academic institutions use Tamarind to design protein drugs, improve industrial enzymes, and create cutting edge molecules that weren't feasible until now.
New AI models are quickly eclipsing physics-based tools in computational drug discovery. Scientists often struggle to fine-tune, deploy, and scale these models, leaving breakthroughs on the table. Tamarind provides a simple interface to the vast array of tools being released daily.
About the Role
We're hiring three exceptional Founding Software Engineers to help us scale the computational biology platform that powers our drug discovery pipeline.
In this role, you'll collaborate closely with the founders to design, build, and scale our infrastructure, APIs, and web interface. You'll own major pieces of our stack end-to-end - from architecture to deployment - and ship features that directly impact scientists and customers.
You'll be responsible for maintaining and expanding the core systems that underpin our computational biology tooling, ensuring reliability, scalability, and performance as we grow.
This is a deeply collaborative and customer-facing role. You'll work directly with users to understand their needs, translate feedback into product improvements, and deliver elegant solutions that accelerate their research.
Techstack:
  • Python, React, AWS (EC2, S3, DynamoDB), Docker, CUDA, Conda, TensorFlow/PyTorch; notebooks; bash/Slurm; APIs & web apps.

Week in the Life:
  • Partner with founders on product decisions, scope experiments, and ship quickly
  • Build/operate services (infra + ML + web) and iterate with customer feedback
  • Mix of coding, design reviews, and practical deployment work
  • Onsite expectation: Team currently onsite in SF ~5 days/week.

Ideal Qualifications:
  • Adaptability and openness to work on diverse problems (e.g. batch HPC scaling, frontend development, automated fine-tuning...)
  • AWS DevOps (DynamoDB, EC2, S3, docker, etc.) and MLOps (CUDA, Conda, Tensorflow, PyTorch)
  • Front-end development (React/Vercel)
  • Willingness to learn about biology-ML models
  • Located in the SF Bay Area or able to relocate to the Bay Area

Pluses:
  • Experience with AI/ML models across various architectures and environments
Technology
Our technology sits at the intersection of DevOps, MLOps, and Computational Biology. We deal with problems ranging from scaling ML inference on AWS for hundreds of GPUs to dissecting pdb files with Biopython. We deploy a wide range of open source ML models for customers, navigating between Docker containers, Colab notebooks, bash scripts, slurm jobs, and more.
Our Interview Process
We keep our process focused, transparent, and designed to give both sides a clear sense of fit.
1. Recruiter Screen (15-30 minutes) - Virtual
Meet with our recruiter to dive into your background, interests, and what you're looking for next. We'll also walk you through the company, team, and role.
2. Technical Interview (90 minutes) - Virtual
  • Co-Founder Interview (30 minutes): A conversation with Deniz Kavi (CEO & Co-founder) about product, collaboration, and how you approach building in an early-stage environment.
  • Technical Deep Dive (60 minutes): A live coding and problem-solving session with Sherry Liu (CTO & Co-founder) or a member of our engineering team.

3. Onsite (1 day) - San Francisco
Spend a day with us working on a mini project and meeting the team.

Apply