Full-Stack Engineer

Lazard

. Lead the design, build, and maintenance of production-grade full-stack applications supporting investments and distribution .

Posted 10/13/2026full-timeNew York City • New York • United StatesMid-LevelSenior💰 $170,000 - $200,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in full-stack application development with a strong focus on Python backend services, API design, and integration of AI and machine learning into business workflows. Proven ability to collaborate with cross-functional teams to deliver scalable solutions in cloud environments, particularly Microsoft Azure.

Highest-signal resume keywords

Python Backend DevelopmentFull-Stack DevelopmentAPI Design and DevelopmentMachine Learning ImplementationCloud Deployment (Microsoft Azure)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringBackend DevelopmentFrontend Frameworks (React)Relational Databases (SQL)Production Application DevelopmentInfrastructure as CodeData-Driven ApplicationsAI Solutions DeliveryMachine Learning AlgorithmsCode Review and CI/CD

Soft Skills

Strong Communication SkillsInfluencing Stakeholders

Tools & Technologies

DatabricksSnowflakeAzure Data Factory

Industry Keywords

Asset ManagementInvestment ManagementFinancial ServicesInvestment DataDistribution Analytics

Tech Stack

Tools & technologies

AzureCloudPythonReactSQL

About the role

Key responsibilities & impact

Lead the design, build, and maintenance of production-grade full-stack applications supporting investments and distribution
Own architecture and technical design decisions for Python backend services and APIs
Build and guide front-end components and user interfaces for internal business users
Work across the full stack, emphasizing backend engineering and data-driven applications
Deploy and operate applications using infrastructure as code, observability, and resilience practices
Embed AI and machine-learning capabilities into business workflows, taking models from prototype to monitored production services
Collaborate with engineers, data specialists, and business stakeholders to deliver scalable solutions
Establish engineering standards through code reviews, design reviews, CI/CD, and testing best practices

Requirements

What you’ll need

5–10 years of professional software engineering experience
Bachelor’s or advanced degree in Computer Science, Data Science, or a related field
Prior experience in asset management, investment management, or a closely related financial-services area
Experience building and running production applications
Strong backend development experience using Python
Full-stack experience, including modern front-end frameworks such as React
Experience building APIs and working with relational databases (SQL)
Experience deploying applications in cloud environments, preferably Microsoft Azure
Demonstrated success delivering AI solutions with measurable business impact
Hands-on experience with machine learning algorithms and productionizing AI models
Strong communication skills and ability to influence technical and non-technical stakeholders
Familiarity with investment data and distribution analytics
Experience supporting sales, marketing, or client-facing platforms
Experience working alongside data science and analytics teams
Experience with data platforms and pipelines such as Databricks, Snowflake, and Azure Data Factory

Benefits

Comp & perks

Comprehensive, competitive benefits
Support for employee health and well-being
Individualized employee experience supporting balance between career, family, and community
Continuous knowledge sharing, skill development, and relationship building
Career development investment