Developer II - Full Stack Python Developer (Equities Investment Technology)

Full Stack Developer

You'll work alongside experienced engineers to design, develop, and deploy scalable applications that support our equities investment strategies. This is an excellent opportunity to grow across the stack at the intersection of finance and technology with a focus on generative-AI technologies.

Key Responsibilities:

• Design, develop, and enhance applications that support trading, portfolio management, and analytics for equities investment teams.
• Build RESTful APIs and microservices using Python (FastAPI as primary framework)
• Work across the full software development lifecycle: requirements, design, implementation, testing, deployment, and ongoing support.
• Participate in agile ceremonies (stand-ups, sprint planning, retrospectives).
• Develop high-quality, efficient, and maintainable code using Python (Fast API) and React/TypeScript
• Implement unit, integration, and data tests; apply TDD where appropriate.
• Troubleshoot and resolve production issues; improve performance, reliability, and observability.
• Design and optimize SQL schemas and queries.
• Work with Snowflake and MS SQL Server to ensure data integrity and performance.
• Use Git and Azure DevOps for version control, work tracking, and CI/CD.
• Deploy and support containerized applications on Kubernetes/OpenShift.
• Partner with engineers, product owners, and investment teams to translate requirements into solutions.
• Participate in code reviews and maintain technical documentation (APIs, designs, architecture).
• Use AI coding tools (e.g., GitHub Copilot, Claude Code) to enhance productivity, while maintaining strong independent coding and debugging skills.

Requirements:

• Bachelor's degree in computer science, software engineering, or related field, or equivalent practical experience.
• 1-3 years of professional software development experience, ideally in a full stack role.
• Strong Python skills with experience building RESTful APIs.
• Hands-on experience with at least one Python web framework (FastAPI preferred; Flask, Django, Dash, or Streamlit a plus).
• Experience with React and modern JavaScript/TypeScript for building responsive UIs.
• Proficiency with SQL, including schema design, query optimization, and data modeling (Snowflake, MS SQL Server, or similar).
• Experience writing unit, integration, and data tests (e.g., pytest, unittest) and working with CI/CD pipelines.
• Comfort with Git-based workflows and code reviews.
• Experience deploying applications to Kubernetes/OpenShift or other container orchestration platforms.
• Familiarity with microservices and distributed systems.
• Experience working in agile/scrum environments.
• Strong communication and collaboration skills; ability to work with both technical and business stakeholders.
• Proven ability to quickly learn new technologies and domain concepts.
• Proactive, ownership mindset with commitment to clean, maintainable, well-documented code.

Preferred / Nice to Have:

• Experience in financial services, capital markets, or fintech.
• Basic understanding of equities markets, financial instruments (stocks, ETFs, derivatives), and investment workflows.
• Experience with observability tools (logging, metrics, tracing).

What We Offer:

• Opportunity to work on impactful projects that directly support investment decision-making
• Collaborative, intellectually stimulating environment with experienced engineers and investment professionals
• Exposure to cutting-edge technology and financial markets
• Professional development and learning opportunities
• Access to modern development tools and AI-assisted coding platforms

Compensation Details:

The salary range for this role 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. This range is only applicable for jobs to be performed in the job posting location. 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.

Neuberger is an equal opportunity employer. The Firm and its affiliates do not discriminate in employment because of race, creed, national origin, religion, age, color, sex, marital status, sexual orientation, gender identity, disability, citizenship status or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact View email address on click.appcast.io.