AVP Backend Software Engineer, Python/AWS

LPL Financial

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
New York, NYFort Mill, SC
Salary
$127,100–$211,900 / yr
Employment
Full-time
Posted
11 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $190k
This role $170k
$116k $231k
below market most similar roles pay here above market

This role pays less than 65% of similar roles. Most pay $168,725–$211,200 — the blue band above. At the midpoint, this role pays about $170k versus about $190k for comparable roles.

Based on 240 similar postings.

Employer

About LPL Financial

LPL Financial is the largest independent broker-dealer in the United States, providing brokerage and investment advisory services to independent financial advisors and financial institutions. Industry: Financial Services & Wealth Management

LPL Financial currently has 101 open roles on FindRole.

Listed pay typically runs $122,673–$204,455 across 55 roles with salary data.

Most-posted roles

View all roles at LPL Financial

At a glance

TL;DR · AVP Backend Software Engineer, Python/AWS

AVP, Backend Software Engineer - Python/AWS joins the Data Technology team to build and scale a strategic platform within a modern data ecosystem. This role involves designing and developing highly scalable backend services, data processing capabilities, and monitoring solutions for complex enterprise data pipelines. You will build innovative capabilities to monitor, visualize, and analyze large-scale data flows while enabling the detection of data quality issues and operational anomalies. Key responsibilities include developing cloud-native applications and reusable integration patterns for batch ingestion, transformation, and distribution. The role requires deep expertise in Python, AWS serverless technologies like Lambda, DynamoDB, API Gateway, EventBridge, SQS, and Step Functions. Candidates should also possess skills in React, JavaScript, RESTful APIs, and experience with Snowflake, Airflow, or Databricks to support analytics and machine learning workloads.

What you'll do

  • Design and maintain scalable Python-based backend services for enterprise data integration and distribution.
  • Build data pipeline frameworks to support batch ingestion, transformation, and orchestration.
  • Develop cloud-native applications using AWS serverless technologies like Lambda, DynamoDB, and Step Functions.
  • Create reusable integration patterns to connect source systems with data platforms and consuming applications.
  • Improve observability and operational resilience across data pipelines and integration services.
  • Troubleshoot performance, scalability, and reliability challenges in distributed systems and large-scale workloads.
  • Collaborate with Data and AI teams to expose metrics for machine learning and AI-driven use cases.

What we're looking for

  • Minimum of 7 years of professional software engineering experience with deep expertise in Python backend development.
  • Minimum of 5 years of experience designing and building scalable backend services, REST APIs, and distributed systems in enterprise environments.
  • Minimum of 5 years of experience developing cloud-native applications on AWS.
  • Strong experience with AWS serverless technologies including Lambda, API Gateway, DynamoDB, EventBridge, and SQS.
  • Experience building modern data platform solutions including batch processing, data integration, and enterprise data distribution pipelines.
  • Working knowledge of React and modern JavaScript frameworks for developing operational dashboards and user interfaces.
  • Experience with CI/CD pipelines, automated testing, DevOps practices, and cloud-native delivery models.
  • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.

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