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Python Back Jobs (NOW HIRING)

Feed what you learn back into Provectus's blueprint library, so the next engagement starts further ... Strong Python proficiency: OOP, design patterns, clean architecture, and performance optimization

Python+ React FDE with AI/ML

Sunnyvale, CA · On-site

$59.75 - $82.50/hr

Candidate should be able to build production-grade backend services in Python and modern UIs in ... insights back into the roadmap • Serve as a trusted technical advisor and mentor to customer ...

New

Python Developer with AWS

New York, NY · On-site

$55 - $75.75/hr

Python Developer with AWS Location: Queens, NY ( Hybrid) Duration: 24 Months JOB SUMMARY ... The qualified candidate will be working in the Revenue Fare Management Systems team performing back ...

The qualified candidate will be working in the Revenue Fare Management Systems team performing back ... Python Web Development and familiar with Django and FastAPI Frameworks • Experienced and/or ...

Python Lead - USC- GC

Princeton, NJ · On-site

$146K - $180K/yr

Please go through the and please fill the below details and revert back with your your updated ... Python Lead Location : Princeton, NJ. Full time Permanent Qualifications Basic : Bachelor's degree ...

Senior Python/AWS Developer

Manhattan, NY · On-site

$133K - $179K/yr

The qualified candidate will be working in the Revenue Fare Management Systems team performing back ... Develop and implement custom modules and APIs in Python Develop and deployment of a real-time ...

Senior Python/AWS Developer

New York, NY · On-site

$132K - $178K/yr

The qualified candidate will be working in the Revenue Fare Management Systems team performing back ... Skilled at Python Web Development and familiar with Django and FastAPI Frameworks * Experienced and ...

Showing results 21-40

Python Back information

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$13

$58

$86

How much do python back jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for python back in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What is the difference between Python Back and Python Data Engineer?

AspectPython BackPython Data Engineer
Required CredentialsPython programming, basic database knowledgePython, SQL, data modeling certifications
Work EnvironmentBackend development teams, software companiesData teams, analytics departments
Industry UsageSoftware development, web servicesData analysis, big data projects
Common Search IntentBackend development with PythonData pipeline and infrastructure roles

Python Back focuses on backend development tasks using Python, such as server-side logic and API creation. Python Data Engineer specializes in building data pipelines, managing data storage, and working with large datasets. While both roles require Python skills, Python Data Engineers often need additional knowledge of SQL and data architecture. Understanding these differences helps job seekers target the right roles based on their skills and career goals.

Are Python Back still in demand in 2026?

Python backend development remains in high demand in 2026 due to its widespread use in web development, data science, and automation. Skills in frameworks like Django and Flask, along with knowledge of APIs and databases, are valuable for backend roles. The demand is driven by the ongoing need for scalable, efficient server-side solutions across industries.

Is Python backend in demand?

Python backend development is highly in demand due to its versatility, ease of use, and extensive libraries like Django and Flask. Many companies seek Python developers for web applications, data analysis, and automation, making it a valuable skill for backend roles.

What are 10 careers related to Python?

Careers related to Python include Python developer, data scientist, machine learning engineer, software engineer, automation engineer, data analyst, backend developer, DevOps engineer, cybersecurity analyst, and research scientist. These roles often require knowledge of programming, data analysis, and software development tools, with many positions demanding proficiency in Python libraries and frameworks.
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Infographic showing various Python Back job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 75% Full Time, 20% Part Time, and 4% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

Python/GenAI Solutions Architect

Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 26 days ago


Job description

About the Role:
Provectus is a consulting and professional services firm with a focus on AI/ML based solutions. Provectus is an AWS Premier Partner and an Anthropic partner, helping enterprise clients move from AI experimentation to AI running in production.
We are changing how we deliver. Instead of handing a client a design and waiting for someone else to build it, our engineers embed directly inside the client's team and ship the system themselves. We call this Forward Deployed delivery. Before you design anything, you spend real time with the people who do the work the system is meant to change, so the architecture reflects how the work actually happens, not how a requirements document described it.
We are looking for a Senior Software Engineer or Solutions Architect with deep Python and Generative AI experience who wants to work this way: deep in the code, close to the client, and directly accountable for whether the system gets used. Direct client communication sits at the center of this role. Prior presales experience is a strong plus.
What You'll Do:
  • Embed with the client team for the length of the engagement, working inside their environment rather than alongside it from a distance
  • Spend time with the people who do the job the system is meant to change before you design anything, so the architecture is grounded in how the work actually happens
  • Write clean, production grade Python across AI integrations, backend services, and RESTful APIs (Flask, Django, or FastAPI)
  • Design, build, and optimize RAG systems and agentic AI solutions running in production, not demos or notebooks
  • Own system design and architectural decisions across the engagement: microservices vs monolith, sync vs event driven, SQL vs NoSQL
  • Own the technical direction of the engagement from discovery through delivery
  • Act as the client's direct technical point of contact: present architecture, defend trade offs, and push back on scope when it does not match timeline or budget
  • Support presales activities where relevant, including discovery calls, technical proposals, scoping, and client facing demos
  • Lead architecture reviews, produce technical design documents, and contribute to standards across the Python practice
  • Feed what you learn back into Provectus's blueprint library, so the next engagement starts further ahead
  • Mentor engineers, lead code reviews, and share knowledge across the team

What You'll Bring:
  • 7+ years building and running production systems; hands on production experience is required, demo only or POC only backgrounds will not be considered
  • Production experience with RAG systems and LLM based agentic workflows that are live and running, not prototypes
  • Backend development experience with Flask, Django REST, or FastAPI
  • Recent, hands on experience with AWS (SageMaker, Bedrock, Lambda, ECS, S3, SQS, ECR, or similar); GCP considered
  • Experience with LLM APIs (OpenAI, Anthropic Claude, or AWS Bedrock)
  • Strong Python proficiency: OOP, design patterns, clean architecture, and performance optimization
  • Demonstrated experience making and defending system design and architectural trade off decisions
  • Comfortable owning direct communication with client stakeholders, without a project manager relaying the conversation
  • Genuine willingness to spend time close to the people who do the job before you design a system to change it, and comfort with an engagement that starts underspecified by design
  • Strong testing practices: pytest, mocking, and integration tests for AI systems
  • Experience with Docker and Kubernetes
  • Understanding of LLM evaluation techniques and quality assurance approaches
  • Experience deploying and maintaining AI/ML models in production environments
  • Already using AI assisted development tools in your daily workflow (Claude Code, Copilot, or similar)
  • Proactive and self directed; you own outcomes end to end and spot problems before they are handed to you
  • B2+ English, comfortable collaborating across distributed, multicultural teams

Nice to Have:
  • Exposure to Financial Services or Healthcare and Life Sciences, our two primary practice verticals
  • Presales experience: cost estimation, cloud architecture cost optimization, scoped and phased delivery plans
  • Prior consulting, professional services, or other embedded client facing delivery
  • Experience with React or Vue
  • AWS or Claude Code certifications
  • Experience with Streamlit or Gradio for AI prototyping
  • Modern Python tooling (ruff, uv, pyproject.toml, pyright)
  • CI/CD pipeline experience (GitHub Actions, GitLab CI)
  • Experience in an additional language (Go, Node.js, or Rust)

What We Offer:
  • A growing AI delivery practice where you help build the tooling and frameworks, not just use them
  • Remote-friendly culture
  • High-impact role with direct visibility to leadership
  • Strong earning potential with performance-based bonuses
  • Opportunity to work with cutting-edge AI and cloud solutions
  • B2B contract model or full-time model
  • Unlimited Vacation policy
  • Generous health, vision, and dental insurance
  • 401(K) matching plan

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.