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Senior Backend Python Jobs in Pittsburgh, PA (NOW HIRING)

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Senior Backend Python information

See Pittsburgh, PA salary details

$15.5K

$143.9K

$185.4K

How much do senior backend python jobs pay per year?

As of Aug 19, 2026, the average yearly pay for senior backend python in Pittsburgh, PA is $143,907.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,300.00 and $162,600.00 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

Ai Engineer-Python, LAG/LLM & Agentic Platform Development

System One

Pittsburgh, PA • On-site

Contractor

Re-posted 5 days ago

Job description

Senior Full Stack Engineer – AI/LLM Platform 5 days onsite Pittsburgh, PA / Farmers Branch, TX / Strongsville, OH / Birmingham, AL / Phoenix, AZ Contract to Hire JOB DESCRIPTION The Software Engineer Sr is responsible for designing, developing, and supporting scalable software solutions for Intelligent Automation initiatives leveraging AI technologies. This role focuses on building an Agentic AI Platform for internal enterprise users using Python, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) technologies. The ideal candidate will combine strong full-stack engineering capabilities with modern AI/ML system design experience to deliver intelligent, scalable, and data-aware applications. The role requires close collaboration with product managers, data scientists, business teams, and engineering partners to deliver enterprise-grade AI-powered solutions. Must Have • Ability to design fault-tolerant production systems • Agile development experience • APIs and API platform engineering • Large Language Model (LLM) fundamentals • Strong Python development experience • Retrieval-Augmented Generation (RAG) • Strong experience building production-grade services using Python and/or Java • Experience integrating LLMs or AI services into enterprise applications • Experience designing and operating API-based platforms • Systems design and engineering expertise Nice To Have • Experience with relational databases • Java • Jira • Microsoft Office Key Responsibilities AI Platform Engineering • Design and develop scalable AI-powered applications using Python and modern software engineering practices • Build and support Agentic AI platform capabilities for enterprise internal users • Integrate Large Language Models (LLMs) and AI services into enterprise applications • Develop Retrieval-Augmented Generation (RAG) pipelines and intelligent data-aware systems • Implement scalable API-based services and AI integration platforms • Design resilient and fault-tolerant distributed systems for production environments Software Development & Engineering • Modify existing software to correct errors, improve performance, and upgrade functionality • Design and develop software systems using scientific analysis and engineering best practices • Create scalable backend services and APIs supporting enterprise platforms • Support full software development lifecycle activities including analysis, development, testing, deployment, and support • Troubleshoot system issues and implement production improvements as needed • Develop and execute software testing and validation procedures Systems Design & Architecture • Design secure, scalable, and maintainable enterprise solutions • Build production-grade services capable of supporting enterprise-scale workloads • Define system integrations and API communication patterns • Collaborate with engineering teams to establish technical specifications and performance requirements • Support operational excellence, monitoring, and continuous improvement initiatives Cross-Functional Collaboration • Work closely with product managers, data scientists, designers, QA teams, and business partners • Participate in Agile ceremonies and engineering planning activities • Communicate technical solutions effectively across technical and non-technical teams • Support enterprise initiatives impacting organization-wide AI adoption and automation Preferred / Flex Skills • Java development experience • Experience with relational databases and SQL • Familiarity with Jira and Agile project tracking tools • Exposure to enterprise AI/ML platforms and intelligent automation solutions • Financial Services or Banking industry experience preferred Soft Skills • Strong written and verbal communication skills • Excellent problem-solving and analytical abilities • Ability to work independently and collaboratively within teams • Strong time management and multitasking capabilities • Adaptability in fast-paced enterprise environments Education • Bachelor’s Degree in Computer Science, Engineering, or related field preferred • Equivalent work experience will be considered #M1 #DI-CB2 #L1 - KB1

Ref: #404-IT Pittsburgh