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Remote Python Api Developer Jobs in Chula Vista, CA

Gnostech LLC

Software Engineer II

San Diego, CA · On-site +1

$90K - $105K/yr

Hybrid or remote work is not authorized. Job Title: Software Engineer II Salary: $90,000-$105,000 ... Python) * Experience with DISA STIGs, patch management, and vulnerability scanning tools (e.g ...

ManTech

Network Engineer III

San Diego, CA · On-site +1

$117K - $195K/yr

... API), and the external environment/software application. * Ensures that the common operating ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

Vannevar

Senior Software Engineer - ATO

San Diego, CA · On-site +1

$150K - $215K/yr

Full-stack experience - willing to get hand-on across our full stack (React/Node/Python stack ... Remote friendly with WeWork access * Unlimited PTO, shared downtime during the federal holiday ...

Peraton

Junior DevSecOps Engineer

San Diego, CA · On-site +1

$86K - $138K/yr

This hybrid support role (75% remote, 25% onsite at a government facility) in the San Diego area is ... Automation and scripting (e.g., Bash, Python, PowerShell) Preferred Qualifications: * Degree in ...

Peraton

Junior DevSecOps Engineer

San Diego, CA · On-site +1

$86K - $138K/yr

This hybrid support role (75% remote, 25% onsite at a government facility) in the San Diego area is ... Automation and scripting (e.g., Bash, Python, PowerShell) Preferred Qualifications: * Degree in ...

Peraton

Junior DevSecOps Engineer

San Diego, CA · On-site +1

$86K - $138K/yr

This hybrid support role (75% remote, 25% onsite at a government facility) in the San Diego area is ... Automation and scripting (e.g., Bash, Python, PowerShell) Preferred Qualifications: * Degree in ...

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Remote Python Api Developer information

See Chula Vista, CA salary details

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How much do remote python api developer jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for remote python api developer in Chula Vista, CA is $60.77, according to ZipRecruiter salary data. Most workers in this role earn between $50.10 and $69.04 per hour, depending on experience, location, and employer.

What does a remote Python API developer do?

A Remote Python API Developer is responsible for designing, building, and maintaining application programming interfaces (APIs) using the Python programming language. These developers work from remote locations, collaborating with teams via online tools to create scalable and efficient APIs that allow different software applications to communicate. Their tasks often include writing clean and secure code, integrating third-party services, troubleshooting issues, and ensuring that APIs meet performance and security standards.

What are the key skills and qualifications needed to thrive as a remote Python API developer?

To thrive as a Remote Python API Developer, you need a solid understanding of Python programming, experience with RESTful API design, and familiarity with frameworks such as Django or Flask, often supported by a relevant degree or certifications. Proficiency in using version control systems like Git, API documentation tools (e.g., Swagger), and cloud platforms (such as AWS or Azure) is typically expected. Excellent problem-solving skills, self-motivation, and effective remote communication are crucial soft skills for success in this role. These competencies ensure robust API development, seamless team collaboration, and reliable delivery of scalable software solutions in a remote work environment.

What are some common challenges faced by remote Python API developers, and how can these be managed effectively?

Remote Python API Developers often face challenges such as coordinating with distributed teams across time zones, ensuring clear communication about API requirements, and managing code consistency and integration. To overcome these, it's important to use collaborative tools like version control systems, participate actively in code reviews, and schedule regular check-ins with team members. Adopting well-documented coding standards and leveraging automated testing can also help maintain code quality and streamline collaboration.

What is the difference between Remote Python Api Developer vs Remote Backend Developer?

AspectRemote Python Api DeveloperRemote Backend Developer
Required SkillsPython, API design, RESTful servicesMultiple languages (Python, Java, Node.js), database management
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, tech startups, enterprises
Common Industry UsageWeb services, API development, SaaS platformsFull-stack or server-side development across industries

Remote Python Api Developers focus specifically on designing and maintaining APIs using Python, often working on web services and SaaS platforms. Remote Backend Developers have a broader scope, working with multiple programming languages and handling server-side logic across various industries. While both roles require backend skills, the Python Api Developer specializes in API-centric tasks with Python as the primary language.

What are popular job titles related to Remote Python Api Developer jobs in Chula Vista, CA?

For Remote Python Api Developer jobs in Chula Vista, CA, the most frequently searched job titles are:

What job categories do people searching Remote Python Api Developer jobs in Chula Vista, CA look for?

The top searched job categories for Remote Python Api Developer jobs in Chula Vista, CA are:

What cities near Chula Vista, CA are hiring for Remote Python Api Developer jobs?

Cities near Chula Vista, CA with the most Remote Python Api Developer job openings:

Remote Python Api Developer jobs near you
Infographic showing various Remote Python Api Developer job openings in Chula Vista, CA as of June 2026, with employment types broken down into 67% Full Time, 17% Part Time, 2% Temporary, 13% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $126,395 per year, or $60.8 per hour.

Computational Biology MLOps Engineer (Remote)

Marlabs

San Diego, CA • Remote

$114K - $134K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Marlabs, a global AI and Digital Solutions Consulting firm, delivers intelligent solutions across AI, data, analytics, and product engineering. Since 2000, we have partnered with some of the largest healthcare, life sciences, financial services, and government organizations worldwide. As we continue to expand our global footprint, we have an exciting opportunity for a highly skilled Computational Biology MLOps Engineer to join our innovative and dynamic team.  

This role requires onsite work three (3) days per week in Indianapolis, IN or San Diego, CA. 

Computational Biology MLOps Engineer | About You 

As a Computational Biology MLOps Engineer, you are responsible for building and scaling the ML infrastructure that supports next generation in silico protein design and engineering. You bridge cutting edge AI research and production systems at the intersection of machine learning, computational biology, and high performance computing. You thrive in cross functional environments and partner closely with computational scientists and platform engineers to accelerate research velocity. You bring strong software, DevOps, and data engineering fundamentals with hands on experience across CI/CD, orchestration, and distributed training. Experience working with scientific or multimodal data and interest in protein language and generative models is a plus. 

Computational Biology MLOps Engineer | Day-to-Day 

  • Build and maintain ML infrastructure, including CI/CD pipelines (GitHub Actions) for model training, evaluation, and deployment. 
  • Orchestrate compute across Kubernetes clusters and SLURM and HPC environments to optimize utilization for large scale training. 
  • Develop robust and scalable data pipelines that deliver ML ready datasets from biological sources such as PDB and mmCIF files, sequence databases, and assay readouts. 
  • Create tools and frameworks that enable rapid iteration on protein language models, diffusion models, and other generative approaches. 
  • Architect systems that scale across distributed environments and support multimodal datasets for large foundational models. 
  • Implement monitoring, logging, and alerting to ensure reliability, performance, and cost efficiency of production ML systems. 

Computational Biology MLOps Engineer | Skills & Experience 

  • 5+ years of overall industry experience in software engineering, DevOps, data engineering, or ML engineering roles, including 3+ years of focused MLOps experience building and maintaining production grade ML infrastructure. 
  • Proven CI/CD expertise with GitHub Actions and strong DevOps practices including infrastructure as code, version control, and collaborative workflows. 
  • Hands on Kubernetes experience in deploying and managing containerized ML workloads with familiarity using container registries. 
  • Proficiency with SLURM or similar job schedulers in HPC environments and experience with distributed training optimization including mixed precision and checkpointing. 
  • Strong Python skills and experience with major ML frameworks including PyTorch, TensorFlow, or JAX. 
  • Experience building ETL processes and scalable data and feature pipelines and experience with cloud platforms such as AWS, GCP, or Azure. 
  • Preferred experience with scientific data, protein structure formats such as PDB and mmCIF, protein AI models including ESM, and agentic systems such as MCP, LangGraph, and LangChain.