Senior Search Architect & ML Engineer (Remote)

Veeva Systems; United States; Remote; USD 140,000 - 180,000; Full time

Job summary

Veeva Systems seeks an experienced software engineer in the United States to build scalable search services and surface underlying ML models. You will surface results and optimize performance while collaborating with data scientists and product teams.

You will mentor junior engineers, plan architectures, and mine usage data to drive features. Strong Python, Elasticsearch/Vector search exposure, and cloud experience are valued here.

Qualifications

• 7+ years of professional experience building scalable and reliable search applications.
• Expert-level Python development skills.
• Knowledge of search and clickstream analytics.
• Ability to mentor and share knowledge with team members.
• Independent, self-managed, and motivated.
• Good command of the English language.

Responsibilities

• Build scalable web services to orchestrate and surface underlying Search and ML models.
• Mine usage data to power features and guide development.
• Participate in the technical planning, user story/technical acceptance creation, and implementation.
• Plan technical architectures that minimize or eliminate performance problems, complexity, or solution fragility.
• Work independently and mentor more junior team members.
• Identify and solve complex problems.

Skills

Python

Search analytics

Clickstream analytics

Mentoring

Independent work

English proficiency

Education

Bachelor's degree or higher in Computer Science, Engineering, or Information Systems

Tools

Elasticsearch

Vector Search

Redis

AWS

Job description

Veeva Systems seeks an experienced software engineer in the United States to build scalable search services and surface underlying ML models. You will surface results and optimize performance while collaborating with data scientists and product teams.

You will mentor junior engineers, plan architectures, and mine usage data to drive features. Strong Python, Elasticsearch/Vector search exposure, and cloud experience are valued here.