FullStack Engineer, Mid-level

Jobtailor; New York (NY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Jobtailor in New York, NY, is seeking a software engineer to help build customer-valued products. You’ll work across the stack with React/TypeScript on the frontend and Python/Django on the backend, delivering low-latency APIs and a robust data platform.

Collaborative, product-minded professionals who thrive in fast-paced environments will fit here. Candidates should be based in NYC and willing to work from the Flatiron office at least two days a week.

Qualifications

• 4+ years of software engineering experience in production systems.
• Strong background with Python, Django, React, and TypeScript.
• Experience with API development, SQL, and modern frontend frameworks.
• Experience building customer-facing systems from scratch in early-stage environments.
• Product mindset and strong problem-solving skills.
• Based in NYC with ability to work from the Flatiron office at least 2 days/week.
• Experience with cloud infrastructure tools like AWS CDK is a plus.

Responsibilities

• Collaborate on the technical vision to build products customers value.
• Build and maintain customer-facing product experiences using React/TypeScript on the frontend and Python/Django on the backend.
• Develop and maintain low-latency, massively scalable developer-facing APIs.
• Maintain a robust data platform supporting the data science team.
• Partner with the team to own and improve engineering best practices and effective processes.
• Debug production issues across all levels of the stack.
• Deliver value to customers and internal stakeholders through collaboration.

Skills

Python

Django

React

TypeScript

API Development

SQL

Front-end frameworks

Tools

AWS CDK

Aurora RDS Postgres

Job description

• Collaborate on the technical vision to build products customers value


• Build and maintain customer-facing product experiences using React/TypeScript on the frontend and Python/Django on the backend


• Develop and maintain low-latency, massively scalable developer-facing APIs


• Maintain a robust data platform supporting the data science team


• Partner with the team to own and improve engineering best practices and effective processes


• Debug production issues across all levels of the stack


• Deliver value to customers and internal stakeholders through collaboration

Requirements

• 4+ years of software engineering experience building and shipping production systems in fast-paced environments


• Strong background with Python, Django, React, and TypeScript


• Experience with API development, SQL, and modern front-end frameworks and technologies


• Experience building customer-facing systems from scratch, making trade-offs, and executing autonomously in early-stage environments


• Product mindset and strong problem-solving skills


• Collaborative mindset and commitment to continuous improvement


• Based in NYC with ability to work from the Flatiron office at least 2 days/week


• Experience with Aurora RDS Postgres (nice to have)


• Experience managing cloud infrastructure via tools like AWS CDK (nice to have)


• Experience with transaction, merchant, and location data (nice to have)


• Familiarity with fintech/data products (nice to have)


• Familiarity with performant SQL, indexes, and query performance analysis (nice to have)

Core Competencies

Demonstrates expertise in building and maintaining customer-facing product experiences using React, TypeScript, Python, and Django, while ensuring robust API development and data platform support. Strong problem-solving and collaborative skills are essential for delivering value in fast-paced environments.

Highest-signal resume keywords

• Python


• Django


• React


• TypeScript


• API Development

Hard Skills

• Software Engineering


• SQL


• Low-Latency API Development


• Data Platform Maintenance


• Performance Analysis

Soft Skills

• Problem-Solving


• Collaboration


• Continuous Improvement

Industry Keywords

• Fintech


• Data Products

Tools & Technologies

• AWS CDK


• Aurora RDS Postgres