Developer II - Python

Neuberger Berman Group LLC

$90K — $110K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3+ years of hands-on Python experience
  • Proficient in Flask, FastAPI, or Django frameworks
  • Experience with AI tools like GitHub Copilot and Claude
  • Understanding of LLM concepts: tokens, context, and responsible use
  • Hands-on experience with Docker for containerized applications
  • Proficient in Git version control
  • Ability to write unit tests, familiar with pytest or similar testing frameworks
  • Familiarity with ORMs such as SQLAlchemy or Django ORM

Responsibilities

  • Build and implement server-side features and modules in Python
  • Collaborate with product and design teams to create maintainable code
  • Participate in code reviews, providing constructive feedback
  • Utilize AI coding assistants to enhance development processes
  • Identify appropriate AI tooling use cases while managing risks
  • Write and maintain Dockerfiles in containerized environments
  • Engage in Agile practices: sprint planning, stand-ups, and retrospectives

Benefits

  • Comprehensive medical, dental, and vision insurance
  • Paid time off
  • Retirement plan contributions
  • Life insurance benefits
  • Discretionary bonus eligibility
Full Job Description
Neuberger is looking for a curious and motivated Junior Python Developer to join our growing engineering team. You'll help build reliable, scalable server-side applications in a modern, AI-augmented development environment - leveraging cutting-edge tools to work smarter, ship cleaner code, and grow fast.

If you're comfortable writing clean Python, have hands-on experience with containerized workflows, and are genuinely excited about the future of AI-assisted development, we want to hear from you.

What You'll Do

Software Development
  • Build and implement server-side features, modules, and components in Python following clean code and best practice standards
  • Collaborate with product and design teams to translate business requirements into well-structured, maintainable code
  • Participate in code reviews - giving and receiving constructive feedback

AI-Augmented Development
  • Use AI coding assistants (GitHub Copilot, Claude, etc.) responsibly to accelerate development, improve code quality, and reduce repetitive boilerplate
  • Apply a working understanding of LLMs - tokenization, context windows, prompt construction, and model limitations - to integrate them sensibly
  • Identify the right use cases for AI tooling vs. traditional logic, and flag risks like hallucinated outputs or sensitive data exposure

Containerized & Cloud-Aware Development
  • Write and maintain Dockerfiles and work within containerized development environments
  • Apply core container concepts: images, containers, volumes, networking, and basic orchestration (Docker Compose, Kubernetes/OpenShift)
  • Contribute to deployable, environment-consistent application packaging

Agile Scrum
  • Participate in sprint planning, stand-ups, retrospectives, and reviews
  • Break down user stories into actionable tasks and deliver working software within sprint timelines
  • Maintain transparency with the team on progress, blockers, and dependencies

Quality & Testing
  • Write and maintain unit and integration tests to ensure reliability and regression safety
  • Debug and resolve defects from testing or production monitoring
  • Collaborate with QA to develop test cases and uphold software quality

What You Bring
  • Python: 3+ years of hands-on experience
  • Frameworks: Proficiency in Flask, FastAPI, or Django
  • AI Tools: Working experience with GitHub Copilot, Claude, or comparable LLM-based coding assistants
  • LLM Awareness: Understanding of tokens, context, prompting, limitations, and responsible use
  • Containers: Hands-on Docker experience - build, run, and debug containerized applications
  • Version Control: Proficient with Git (branching, PRs, rebasing)
  • Testing: Ability to write meaningful unit tests; familiarity with pytest or similar
  • ORM: Working knowledge of SQLAlchemy, Django ORM, or equivalent

Bonus Points
  • Familiarity with Kubernetes, OpenShift, or container orchestration concepts
  • Exposure to cloud platforms (Azure, AWS, or GCP)
  • Experience calling or integrating LLM APIs (OpenAI, Anthropic, Azure OpenAI)
  • Understanding of RAG patterns or vector stores
  • Basic front-end literacy: JavaScript, HTML5, CSS3
  • Familiarity with server-side templating (e.g., Jinja2)
  • Understanding of async or multi-process architecture (asyncio, multiprocessing)


Work model

Location: New York City; hybrid with a minimum of two days per week in office.

#LI-DD2

#LI-Hybrid

Applicants must be authorized and have the right to work in the country where the role is located without the need for current or future sponsorship.

Compensation Details

The salary range for this role in Illinois is $90,000-$110,000 and the salary range for the role in New York is $90,000-$110,000. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee's pay position within the salary range will be based on several factors including, but limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, business sector, performance, shift, travel requirements, sales or revenue-based metrics, market benchmarking data, any collective bargaining agreements, and business or organizational needs. This job is also eligible for a discretionary bonus, which, along with base salary and retirement contributions, is part of our total comprehensive package. We offer a comprehensive package of benefits including paid time off, medical/dental/vision insurance, retirement, life insurance and other benefits to eligible employees.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, production, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.

Learn about the Applicant Privacy Notice.

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