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Remote Full Stack Python Developer Jobs in Daly City, CA

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Full Stack Engineer

San Francisco, CA · On-site +1

As a full-stack engineer at ClassDojo, you'll help build the systems that will support our rapid ... You have DevOps experience, especially on AWS * > 7 years of professional software experience

Nourish

Senior Full Stack Engineer

San Francisco, CA · On-site +1

About the Role: Nourish is looking for talented Senior Full Stack Engineers to join our fast ... This role is full-time and open to remote or onsite/hybrid out of Nourish's NYC office in the heart ...

Mercury

Senior Full-Stack Engineer

San Francisco, CA · On-site +1

$166K - $208K/yr

Our product engineering group is growing and we're looking to hire senior full-stack engineers . We're a team of pragmatic, product-minded engineers motivated by the desire to create lovable products ...

Pano

Senior Software Engineer - Full Stack

San Francisco, CA · On-site +1

$140K - $188K/yr

We are a team of more than 175 people working in a hybrid-remote environment across North America ... Familiarity with common DevOps tools and practices, such as Git and CI/CD * Familiarity with SOC2 ...

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All JobsFull Stack Python Developer JobsRemote Full Stack Python Developer JobsRemote Full Stack Python Developer Jobs in Daly City, CA

Remote Full Stack Python Developer information

See Daly City, CA salary details

$68.9K

$150.4K

$212.6K

How much do remote full stack python developer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for remote full stack python developer in Daly City, CA is $150,400.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,300.00 and $175,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Full Stack Python Developer vs Remote Backend Python Developer?

AspectRemote Full Stack Python DeveloperRemote Backend Python Developer
Required SkillsProficiency in both frontend (HTML, CSS, JavaScript) and backend (Python, Django/Flask)Focus on backend technologies (Python, Django/Flask), with limited frontend skills
Work EnvironmentCollaborates on full project stack, often in agile teamsPrimarily works on server-side logic, APIs, and database management
Common UsageUsed in full product development, UI/UX integrationUsed in API development, data processing, server management

The main difference is that a Remote Full Stack Python Developer handles both frontend and backend tasks, while a Remote Backend Python Developer specializes in server-side development. Full Stack developers have broader responsibilities, whereas Backend developers focus on backend logic and infrastructure.

What are popular job titles related to Remote Full Stack Python Developer jobs in Daly City, CA?

For Remote Full Stack Python Developer jobs in Daly City, CA, the most frequently searched job titles are:

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Remote Full Stack Python Developer jobs near you

Senior Full Stack Software Engineer

San Francisco, CA • On-site, Remote

Cynch AI
See more jobs at Cynch AIexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 days ago

Job description

Cynch AI is a Series A company that has grown revenue 4x in the past year. We build neuro-symbolic AI applications for our accounting firm, Aardvark Tax Advisors, so our tax professionals can focus on the work and decisions that matter most. We are growing both organically and through strategic acquisitions, with a mix of remote and onsite employees and offices in San Francisco, the South Bay, and the East Bay.
We are looking for a senior software engineer who has fully embraced AI tooling and wants to stay at the forefront of how modern engineering teams move faster, build higher-quality software, and solve more ambitious problems. This is a full stack role with a backend bias: you'll work across the stack, but the hardest problems are in the data model, execution engines, and reliability-not just the UI or API surface.
The kind of work you may own here includes building execution engines for AI-assisted tax workflows, document-processing pipelines, data models for complex domain logic, systems for tracing and auditing automated decisions, integrations with tax/accounting platforms, and internal platforms that allow a small operations team to handle substantially more customer volume. You do not need prior tax or accounting experience, but you should have experience building production software where correctness, performance, and reliability really mattered.
What You'll Do
  • Work with founders, product, AI, operations and domain experts as you fully own substantial product and platform work from problem definition through production rollout.
  • Build backend systems that can handle real production complexity: clear APIs, well-modeled data, reliable execution, useful observability, and maintainable code.
  • Turn messy operational workflows into clean software abstractions, internal tools, automations, and customer-facing features.
  • Continuously help the team discover where AI meaningfully improves software quality and velocity, and where it does not.
  • Improve the engineering system itself: better tools, better patterns, better deployment practices, better observability, fewer repeated mistakes, and less accumulated technical debt.
  • Mentor other engineers by raising the quality of design discussions, implementation choices, reviews, and production ownership.
How We Use AI
We are all-in on AI-assisted development, but with high standards for rigor. Your default process should integrate AI tools into your daily engineering workflows to continuously improve velocity and quality.
Engineers who thrive here use AI to explore designs, generate and test implementations, debug unfamiliar code, refactor safely, improve observability, and accelerate learning-while maintaining high standards for correctness, maintainability, and production quality. We are not looking for people who simply generate code and hope it works; we are looking for engineers who use AI to move faster because they already have the technical judgment to evaluate, constrain, test, and improve what it produces.
Technologies We Use
You do not need to know every technology we use, but you should be excited to work with a similar stack and learn quickly where needed.
  • TypeScript, Python, Julia, Java, Go, Datalog
  • Knowledge graphs, ontologies, neuro-symbolic AI
  • AWS EC2, ECS, RDS (postgres), Lambda, S3, Bedrock

Strong candidates often come from backgrounds such as data platforms, developer tools, workflow automation, compilers/languages, ML infrastructure, or enterprise SaaS platforms (fintech, tax/accounting software, healthtech) where backend systems must be correct, reliable, and scalable.
Requirements
Who We're Looking For
  • Deep backend expertise and the ability to work across the stack, including frontend product experiences when needed.
  • Has been directly responsible for a production system where correctness, performance, reliability, or scale created meaningful engineering complexity.
  • Has designed data models, execution paths, background jobs, queues, retries, observability, and operational workflows for systems that had to keep working under real production load and real failure modes.
  • Experience building systems where the core challenge was technical depth: workflow execution, rule evaluation, document processing, search/indexing, data pipelines, distributed jobs, domain-specific language implementation, or correctness-sensitive automation.
  • Experience working in an early-stage environment where requirements are incomplete, priorities shift, and ownership is broad.
  • Strong product judgment: you ship code that actually solves the problem.
  • You have operated at a level where you were trusted to own ambiguous, technically complex systems end-to-end, make architecture decisions, debug production issues, and raise the engineering bar for others.
  • You can lead projects, take feedback, engage in thoughtful discussion, and get the work done.

We are looking for someone whose recent work goes beyond marketing sites, simple CRUD applications, prompt wrappers, prototypes, or frontend-only product surfaces. The core of this role is building the underlying systems-data models, execution engines, observability, and controls-that make AI-assisted workflows reliable, auditable, and useful in production, not just building UI around an LLM API.
How to Apply
As part of your application, please include a brief description (4-8 sentences) of the most technically complex production system you have built or owned. We are especially interested in the data model, algorithms, scale, reliability constraints, failure modes, and what you personally owned. Specific, concrete answers are much more useful than polished summaries; a little messy is much better than grand, generic language.
Benefits
  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k))
  • Life Insurance (Basic)
  • Paid Time Off (Unlimited Vacation, plus Sick & Public Holidays)
  • Short Term & Long Term Disability
  • Work From Home (Hybrid)
  • Stock Option Plan

Work Environment:
  • Hybrid: San Francisco
  • Open to Remote for Exceptional Candidates.
  • California base salary range: $190,000-$240,000

Apply