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Senior Backend Python Jobs in Columbus, OH (NOW HIRING)

Photon

Sr Python Developer with AI

Columbus, OH · On-site

$113K - $152K/yr

Develop production-grade Python services, APIs, integrations, and backend components. * Work with LLMs, prompt engineering, RAG, embeddings, vector databases, and tool/function calling . * Implement ...

Prospiant

Internet of Things Engineer

Columbus, OH · On-site

$125 - $150/hr

As a Senior IoT Developer, you will play a crucial role in designing, developing, and deploying ... in backend software development * Languages: 3-5 years of experience in Python development

IBM

Senior Software Engineer II - Confluent

Columbus, OH · On-site

$118K - $156K/yr

As a Senior Software Engineer II at Confluent, you will take ownership of critical backend systems ... backend programming language (e.g., Java, Go, C/C++, or Python) and strong fundamentals in data ...

Safelite Group

Senior Cloud Engineer

Columbus, OH · On-site

$100K - $138K/yr

A Brief Overview The Senior Cloud Engineer has advanced knowledge of the application and the ... Design, develop, and maintain backend services and APIs using Python and C#/.NET. * Build and ...

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Senior Backend Python information

See Columbus, OH salary details

$15.5K

$143.2K

$184.5K

How much do senior backend python jobs pay per year?

As of Sep 9, 2026, the average yearly pay for senior backend python in Columbus, OH is $143,178.00, according to ZipRecruiter salary data. Most workers in this role earn between $140,500.00 and $161,800.00 per year, depending on experience, location, and employer.

What does a senior backend Python developer do?

A Senior Backend Python Developer designs, builds, and maintains the server-side logic of web applications using Python. They are responsible for creating robust APIs, optimizing databases, ensuring application security, and integrating third-party services. In addition, they often mentor junior developers, contribute to architectural decisions, and collaborate closely with frontend and DevOps teams. Their work ensures that applications are scalable, reliable, and efficient. Senior developers typically have several years of experience and deep knowledge of Python frameworks like Django or Flask.

What are the key skills and qualifications needed to thrive as a senior backend Python developer?

To thrive as a Senior Backend Python Developer, you need expertise in Python programming, strong knowledge of backend frameworks (such as Django or Flask), and experience with database management, often backed by a degree in computer science or equivalent experience. Familiarity with version control systems like Git, containerization tools like Docker, cloud platforms (e.g., AWS), and possibly certifications in cloud or Python technologies are common requirements. Outstanding problem-solving skills, effective communication, and the ability to mentor junior developers help set top performers apart. These competencies ensure the development of robust, scalable, and maintainable backend systems that support business objectives.

What are some common challenges senior backend Python developers face when working on large-scale systems?

Senior Backend Python developers working on large-scale systems often encounter challenges such as ensuring application scalability, maintaining code quality across distributed teams, and optimizing performance for high traffic. Balancing the integration of new features with legacy system constraints can also be demanding. Effective communication and collaboration with frontend teams, DevOps, and product managers are crucial for delivering reliable and maintainable backend solutions.

What is the difference between Senior Backend Python vs Backend Developer?

AspectSenior Backend PythonBackend Developer
Required CredentialsBachelor's in CS or related, 5+ years experience, Python expertiseBachelor's in CS or related, 2-4 years experience, Python knowledge
Work EnvironmentTech companies, startups, enterprise systemsTech firms, startups, software agencies
Employer & Industry UsageUsed across industries requiring scalable backend solutionsCommon in web development and software services
Search & Comparison IntentUnderstanding senior roles, responsibilities, salaryEntry to mid-level backend roles, skill requirements

Senior Backend Python professionals typically have more experience, advanced skills, and leadership responsibilities compared to Backend Developers. They often work on complex systems, mentor junior staff, and have a broader understanding of architecture. Backend Developers focus on building and maintaining backend services with less emphasis on leadership or strategic planning.

Senior Backend Python jobs near you

Sr Python Developer with AI

Columbus, OH • On-site

Photon
IT Services • 1 - 10 employees
Learn more about Photonexternal

$113K - $152K/yr

Other

Posted 16 days ago

Job description

Who are we?
For the past 20 years, we have powered many Digital Experiences for the Fortune 500. Since 1999, we have grown from a few people to more than 4000 team members across the globe that are engaged in various Digital Modernization. For a brief 1 minute video about us, you can check ;br />

We are looking for an Advanced Python Engineer / Agentic AI FDE with strong hands-on experience in Python development and a solid understanding of Generative AI, LLMs, AI Agents, and agentic application development.

The ideal candidate will work closely with client engineering and product teams to design, develop, integrate, and deploy production-grade agentic AI solutions. This role requires strong software engineering fundamentals, the ability to work with modern AI frameworks, and excellent client-facing problem-solving skills.

Key Responsibilities

  • Design and develop scalable Agentic AI applications and AI-powered solutions using Python.
  • Build, integrate, and optimize AI agents, multi-agent workflows, tools, and orchestration pipelines.
  • Develop production-grade Python services, APIs, integrations, and backend components.
  • Work with LLMs, prompt engineering, RAG, embeddings, vector databases, and tool/function calling.
  • Implement agent workflows using frameworks such as LangChain, LangGraph, OpenAI Agent SDK, Google ADK, CrewAI, AutoGen, or similar frameworks.
  • Integrate AI agents with enterprise systems, APIs, databases, SaaS platforms, and business applications.
  • Develop and consume REST APIs, microservices, and event-driven integrations.
  • Implement appropriate mechanisms for agent memory, context management, state management, and knowledge retrieval.
  • Work with cloud-based AI platforms such as AWS Bedrock, Azure AI Foundry, or Google Cloud Vertex AI/Gemini.
  • Implement observability, monitoring, logging, evaluation, and performance optimization for AI applications.

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