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Senior Associate, Software Engineer – Data Platform & AI Applications

San Francisco, California, United States

Pay
$125,000–160,000/year · Base — pay source
Compensation & Benefits Compensation at Jordan Park includes a base salary, discretionary year-end bonus, benefits and other perks. We apply a total reward philosophy when determining compensation terms. The expected base salary for this role in San Francisco, California will range from $125,000 to $160,000 per year commensurate with experience, job-related skills, relevant education, licenses and certifications, and other business and organizational needs. Our benefits package includes:
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Employment
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Apply at Jordan Park Group

What you’ll work on

Full posting
  • Design and maintain production SQL data pipelines (dbt, Snowflake, Python)

  • Build LLM apps, RAG architectures, custom GPTs and agent systems

  • Integrate proprietary firm data securely into AI workflows

  • Support AWS infrastructure and containerized services in Kubernetes

  • Build Python tools for API integrations and workflow automation

From the employer’s posting
Design, build, and maintain production-grade SQL data pipelines (e.g., dbt + Snowflake + Python)
Build and develop the use of AI in the form of: LLM apps, RAG architectures, Custom GPTs & Agent systems
Integrate proprietary firm data securely into AI workflows
Containerize services using Docker and manage workloads in Kubernetes
Create automation solutions that reduce manual operational effort

What you’ll bring

All qualifications

Core experience

  • Experience implementing CI/CD and DevOps best practices
  • Experience in wealth management, asset management, or fintech
  • Experience designing secure AI architectures
  • Experience mentoring junior engineers
Qualification wording
Experience implementing CI/CD and DevOps best practices
Experience in wealth management, asset management, or fintech
Experience designing secure AI architectures
Experience mentoring junior engineers
Education & alternatives
Required: - Bachelors degree with 5–8 years of experience in: data engineering, platform engineering, cloud infrastructure - Requisite experience in AI Application development including LLM APIs and RAG Pipelines

Tools in this posting

  • Python
  • SQL
  • AWS
  • dbt
  • Docker
  • Kubernetes
  • S3
  • Snowflake
  • Airflow
Source — Tool mentions in context
- Data Platform Engineering - Design, build, and maintain production-grade SQL data pipelines (e.g., dbt + Snowflake + Python) - Develop and manage orchestration workflows (Airflow or equivalent)
- Establish logging, monitoring standards - Python Development & Automation - Develop Python-based tools for API integrations, data transformations, ad-hoc in-house applications & tooling
- Python Development & Automation - Develop Python-based tools for API integrations, data transformations, ad-hoc in-house applications & tooling - Build reusable modules and maintain code standards
- AWS experience including Docker and Kubernetes - Advanced Python proficiency - Advanced SQL and data modeling
- Advanced Python proficiency - Advanced SQL and data modeling - Experience implementing CI/CD and DevOps best practices
- Translate AI experimentation into production-grade tools - Cloud Infrastructure (AWS) - Support AWS-based infrastructure including VPCs, ECS, EKS, S3, etc.
- Cloud Infrastructure (AWS) - Support AWS-based infrastructure including VPCs, ECS, EKS, S3, etc. - Containerize services using Docker and manage workloads in Kubernetes
- Requisite experience in AI Application development including LLM APIs and RAG Pipelines - AWS experience including Docker and Kubernetes - Advanced Python proficiency
- Support AWS-based infrastructure including VPCs, ECS, EKS, S3, etc. - Containerize services using Docker and manage workloads in Kubernetes - Establish logging, monitoring standards
- Design, build, and maintain production-grade SQL data pipelines (e.g., dbt + Snowflake + Python) - Develop and manage orchestration workflows (Airflow or equivalent) - Create data ingestion processes and API integrations

Benefits in the posting

Full benefits wording
  • Compensation at Jordan Park includes a base salary, discretionary year-end bonus, benefits and other perks. We apply a total reward philosophy when determining compensation terms. The expected base salary for this role in San Francisco, California will range from $125,000 to $160,000 per year commensurate with experience, job-related skills, relevant education, licenses and certifications, and other business and organizational needs.
  • Our benefits package includes:
  • Medical, dental & vision insurance – 100% of premium covered for employees
  • 401k participation with employer contribution
  • Generous paid time off
  • Commuter benefits program (pre-paid tax dollars towards your commute)
  • Fitness Reimbursement
  • Annual Professional Development Stipend

From the employer’s posting.

Posting record

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Open 6 monthsWe first saw this posting 198 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Apr 15, 2026 · 198 days ago
Recorded sightings
122
Last seen by us
Oct 29, 2026

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Job description

View original posting ↗

Jordan Park provides investment management and financial advice to a distinct community of individuals, families, and institutions. Our clients have made extraordinary contributions to business, philanthropy, government, and society. Our team is composed of empathetic problem solvers with depth and diversity of experience. We embrace complexity and navigate challenges to empower clients to achieve their optimal outcomes.

Our mission is to enhance lives and legacies.

 

Senior Associate, Software Engineer – Data Platform & AI Applications
San Francisco, California 

The Opportunity 

Jordan Park is seeking a Senior Associate to help build and extend our enterprise data platform and AI application ecosystem.

This role combines advanced data engineering, cloud infrastructure, DevOps discipline, and applied AI development. The Senior Associate will operate as a senior individual contributor — owning major platform components while partnering closely with leadership and business teams. This is a hands-on technical role with meaningful scope and influence.

In this role, you will be responsible for enabling trusted analytics across the firm, integrating proprietary data into AI systems, automating operational workflows and creating custom apps and tooling.

Your Role

  • Data Platform Engineering
    • Design, build, and maintain production-grade SQL data pipelines (e.g., dbt + Snowflake + Python)
    • Develop and manage orchestration workflows (Airflow or equivalent)
    • Create data ingestion processes and API integrations
  • AI Application Development
    • Build and develop the use of AI in the form of: LLM apps, RAG architectures, Custom GPTs & Agent systems
    • Integrate proprietary firm data securely into AI workflows
    • Establish observability standards
    • Translate AI experimentation into production-grade tools
  • Cloud Infrastructure (AWS)
    • Support AWS-based infrastructure including VPCs, ECS, EKS, S3, etc.
    • Containerize services using Docker and manage workloads in Kubernetes
    • Establish logging, monitoring standards
  • Python Development & Automation
    • Develop Python-based tools for API integrations, data transformations, ad-hoc in-house applications & tooling
    • Build reusable modules and maintain code standards
    • Create automation solutions that reduce manual operational effort
  • Projects & Communication
    • Partner cross-functionally with Investment, Client Advisory, Operations, and Finance teams
    • Be self-directed in project management and delivery
    • Translate business requirements into technical architecture
    • Deliver executive-ready summaries of platform and AI initiatives

Qualifications

Required:

  • Bachelors degree with 5–8 years of experience in: data engineering, platform engineering, cloud infrastructure
  • Requisite experience in AI Application development including LLM APIs and RAG Pipelines
  • AWS experience including Docker and Kubernetes
  • Advanced Python proficiency
  • Advanced SQL and data modeling
  • Experience implementing CI/CD and DevOps best practices
  • Strong written and executive communication skills
  • Experience in wealth management, asset management, or fintech
  • A positive, helpful and can-do attitude

Preferred:

  • Salesforce data integration experience
  • Experience designing secure AI architectures
  • Experience mentoring junior engineers

Compensation & Benefits

Compensation at Jordan Park includes a base salary, discretionary year-end bonus, benefits and other perks.  We apply a total reward philosophy when determining compensation terms. The expected base salary for this role in San Francisco, California will range from $125,000 to $160,000 per year commensurate with experience, job-related skills, relevant education, licenses and certifications, and other business and organizational needs. 

Our benefits package includes:  

  • Medical, dental & vision insurance – 100% of premium covered for employees
  • 401k participation with employer contribution
  • Generous paid time off 
  • Commuter benefits program (pre-paid tax dollars towards your commute)
  • Fitness Reimbursement
  • Annual Professional Development Stipend 

We are empathetic problem solvers and subject matter experts, committed to serving clients at the highest level of trust and partnership. Our hallmarks of responsiveness, availability, dependability, and competency are our highest priorities.

Jordan Park is always seeking great talent.  We are proud to be an equal opportunity employer, and we consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition or disability.  We comply with the San Francisco Fair Chance Ordinance and will consider for employment qualified applicants with arrest and conviction records.

For information about our privacy practices, including disclosures for California residents, please see our Privacy Notice

Jordan Park is an SEC-registered investment adviser (RIA). 

Source details

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Pay
Compensation & Benefits Compensation at Jordan Park includes a base salary, discretionary year-end bonus, benefits and other perks. We apply a total reward philosophy when determining compensation terms. The expected base salary for this role in San Francisco, California will range from $125,000 to $160,000 per year commensurate with experience, job-related skills, relevant education, licenses and certifications, and other business and organizational needs. Our benefits package includes:
Location & working pattern

San Francisco, California, United States

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