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How much do software engineer iii python jobs pay per year?

As of Aug 24, 2026, the average yearly pay for software engineer iii python in the United States is $139,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,500.00 and $164,500.00 per year, depending on experience, location, and employer.

What does a software engineer III Python do?

A Software Engineer III Python is a mid-to-senior level software developer who specializes in building, testing, and maintaining applications using the Python programming language. They are responsible for designing complex software solutions, collaborating with cross-functional teams, and mentoring junior engineers. Their role often includes writing efficient code, debugging, and ensuring that applications meet performance and quality standards. Additionally, they may contribute to architectural decisions and participate in code reviews to uphold best practices.

What are the key skills and qualifications needed to thrive as a software engineer III Python?

To excel as a Software Engineer III (Python), you need advanced proficiency in Python programming, solid experience with software design principles, and a relevant degree in computer science or a related field. Familiarity with version control systems (such as Git), cloud platforms (e.g., AWS or Azure), and frameworks like Django or Flask is typically required. Strong problem-solving abilities, effective communication, and teamwork are vital soft skills that help you collaborate and deliver solutions efficiently. These competencies ensure high-quality, maintainable code, facilitate smooth project execution, and support innovation within complex development environments.

How does a software engineer III Python typically collaborate with cross-functional teams during a project lifecycle?

As a Software Engineer III (Python), you'll frequently work alongside product managers, designers, QA engineers, and DevOps specialists throughout the entire project lifecycle. You may participate in requirement discussions, contribute to architectural decisions, and review code, ensuring your Python solutions align with broader business objectives. Regular stand-ups, code reviews, and sprint planning sessions foster close collaboration, while your expertise is often called upon to mentor junior developers and troubleshoot complex issues. This cross-functional teamwork not only helps deliver robust applications but also supports your own professional growth and visibility within the organization.

What is the difference between Software Engineer Iii Python vs Software Engineer Iii Java?

AspectSoftware Engineer Iii PythonSoftware Engineer Iii Java
Required CredentialsBachelor's in CS or related, Python proficiencyBachelor's in CS or related, Java proficiency
Work EnvironmentTech companies, startups, web developmentEnterprise software, financial services, backend systems
Industry UsageHigh in data science, AI, web appsCommon in large-scale enterprise applications
Search & Comparison IntentOften compared for language-specific rolesOften compared for enterprise backend roles

Both roles require similar educational backgrounds and work environments, but Python is favored for data science and web development, while Java is prevalent in large-scale enterprise systems. The choice depends on the industry focus and project requirements.

Is Python still in demand in 2026?

Python remains highly in demand for software engineers, including those specializing in Python development, due to its versatility, widespread use in data science, web development, and automation. The language's extensive libraries and community support continue to drive job opportunities, and proficiency in Python is often a key skill for many tech roles in 2026.
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Infographic showing various Software Engineer Iii Python job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 8% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $139,971 per year, or $67.3 per hour.

Software Engineer III - Python / AI

JPMorgan Chase & Co.

Jersey City, NJ • On-site

$120 - $160/hr

Other

Posted 10 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 496 frontline employees who took The Breakroom Quiz

71st of 171 rated banks

Job description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III - Python/ AI at JPMorganChase within the Commercial and Investment Bank , you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities
  • Build and maintain UI dashboards using React/TypeScript and backend services in the Python stack
  • Design and deliver data pipelines/ETL on modern data platforms (e.g., Databricks, Snowflake)
  • Execute software design, development, testing, and technical troubleshooting across the SDLC
  • Ensure large language models (LLMs) are used as controlled, well-understood components of the engineering lifecycle (enterprise-approved models)
  • Lead structured requirements analysis using LLM-assisted workflows to translate business and regulatory needs into clear technical specifications
  • Establish best practices for prompt-driven design and development, treating prompts as versioned, reviewable engineering artifacts
  • Ensure prompt strategies support determinism, reproducibility, traceability, and auditability in regulated environments
  • Ensure LLM-driven systems meet enterprise reliability, resilience, and security expectations
  • Coach teams on safe, compliant LLM/agent usage by documenting strengths, limitations, and risk profiles for different classes of engineering work
  • Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 3+ years applied experience.
  • Strong Python skills, including familiarity with agentic development practices
  • Experience with database design and data modeling on modern data platforms (e.g., Databricks, Snowflake)
  • Hands‑on experience using approved AI-assisted development tools (e.g., copilots/LLM coding assistants) to design and deliver end‑to‑end applications, with strong validation habits for correctness, performance, and security
  • Experience developing, debugging, and maintaining code in a large enterprise environment using one or more modern programming languages and database querying languages
  • Strong understanding of SDLC and agile delivery practices, including CI/CD, application resiliency, and security controls
  • Strong understanding of responsible AI use in engineering workflows (data sensitivity, secure handling of inputs/outputs, resiliency/security expectations), including experience coaching engineers on compliant adoption
  • Hands‑on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
  • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
Preferred qualifications, capabilities, and skills
  • Familiarity with modern front-end technologies
  • Experience in Risk and Pnl in Markets
  • Exposure to public cloud, with preference for AWS
  • Knowledge of Financial Markets and Products (Fixed Income, Derivatives) and Treasury concepts)
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