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About the Role
This role is an opportunity to help build and scale a strategic platform at the center of LPL's modern data ecosystem. You will design and develop highly scalable backend services, data processing capabilities, and monitoring solutions for complex enterprise data pipelines. The primary focus is on building scalable Python-based services, integration frameworks, and cloud-native applications.
Responsibilities
- Design, develop, and maintain scalable Python-based backend services supporting enterprise data integration, enrichment, validation, and distribution.
- Build and enhance data pipeline frameworks supporting batch ingestion, transformation, orchestration, and downstream data consumption.
- Develop cloud-native applications leveraging AWS serverless technologies including Lambda, DynamoDB, API Gateway, EventBridge, SQS, and Step Functions.
- Develop reusable integration patterns that simplify connectivity between source systems, data platforms, and consuming applications.
- Improve observability, monitoring, and operational resilience across data pipelines and integration services.
- Leverage AI-assisted development tools and modern engineering practices to improve code quality, productivity, troubleshooting, and documentation.
- Collaborate with Data, AI, and Analytics teams to expose data and metrics that support machine learning and AI-driven use cases.
- Troubleshoot and resolve performance, scalability, and reliability challenges across distributed systems and large-scale data workloads.
- Work closely with stakeholders to understand their specific capabilities and needs and be able to think strategically on how to incorporate new capabilities into the system without creating one-off solutions.
- Be a team player, continue learning and help teach new or junior members of the team.
Requirements
- Minimum of 7 years of professional software engineering experience, including deep expertise in Python backend development and experience with React and modern JavaScript frameworks.
- Minimum of 5 years designing and building scalable backend services, REST APIs, and distributed systems in enterprise environments.
- Minimum of 5 years developing cloud-native applications on AWS, with hands-on experience building and supporting production workloads.
- Strong experience with AWS serverless technologies including Lambda, API Gateway, DynamoDB, EventBridge, SQS, and related services.
- Experience building modern data platform solutions, including batch processing, data integration, data ingestion, and enterprise data distribution pipelines.
- Strong Python engineering fundamentals, including application design, testing, performance tuning, and operational support.
- Working knowledge of React and modern JavaScript frameworks for developing operational dashboards and user interfaces.
- Experience building and integrating RESTful APIs and event-driven architectures.
- Experience with CI/CD pipelines, automated testing, DevOps practices, and cloud-native delivery models.
- Experience working within modern data platforms leveraging technologies such as Snowflake, Airflow, Databricks, or similar ecosystems.
- Understanding of data integration, data observability, monitoring, and operational resilience concepts.
- Understanding of how modern data platforms support analytics, machine learning, and AI-enabled workloads.
- Ability to operate effectively in ambiguous environments and solve complex technical challenges.
- Experience mentoring engineers, conducting code reviews, and contributing to engineering best practices.
- Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
Skills
- Python backend development
- React
- modern JavaScript frameworks
- scalable backend services
- REST APIs
- distributed systems
- cloud-native applications on AWS
- AWS serverless technologies
- Lambda
- API Gateway
- DynamoDB
- EventBridge
- SQS
- data platform solutions
- batch processing
- data integration
- data ingestion
- enterprise data distribution pipelines
- application design
- testing
- performance tuning
- operational support
- operational dashboards
- user interfaces
- event-driven architectures
- CI/CD pipelines
- automated testing
- DevOps practices
- cloud-native delivery models
- Snowflake
- Airflow
- Databricks
- data observability
- monitoring
- operational resilience
- analytics
- machine learning
- AI-enabled workloads
Location
- Hybrid
Work Type
- Hybrid
Experience Level
- 7 years of professional software engineering experience
- 5 years designing and building scalable backend services, REST APIs, and distributed systems
- 5 years developing cloud-native applications on AWS
Education Level
- Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
Salary/Compensations
- $127,100.00 - $211,900.00
Benefits
- 401K matching
- health benefits
- employee stock options
- paid time off
- volunteer time off
About the Company
- LPL Financial Holdings Inc. (Nasdaq: LPLA) is among the fastest growing wealth management firms in the U.S. As a leader in the financial advisor-mediated marketplace, LPL supports over 32,000 financial advisors and the wealth management practices of approximately 1,100 financial institutions, servicing and custodying approximately $2.3 trillion in brokerage and advisory assets on behalf of approximately 8 million Americans.
- The firm provides a wide range of advisor affiliation models, investment solutions, fintech tools and practice management services, ensuring that advisors and institutions have the flexibility to choose the business model, services, and technology resources they need to run thriving businesses.
- At LPL, independence means that advisors and institution leaders have the freedom they deserve to choose the business model, services, and technology resources that allow them to run a thriving business. They have the flexibility to do business their way. And they have the freedom to manage their client relationships, because they know their clients best. Simply put, we take care of our advisors and institutions, so they can take care of their clients.
Equal Opportunity
- Principals only. EOE.