Vice President, Engineering

Jobtailor

California (MO)

On-site

USD 180,000 - 260,000

Full time

14 days+

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Job summary

Jobtailor seeks a senior engineering leader to oversee software, data, AI/ML, and platform engineering. You will shape cloud-native architectures, drive modernization, and implement IaC standards to deliver high-quality engineering outcomes across teams.

You will translate business requirements into actionable technical programs, mentor top talent, and collaborate with executives to align engineering with strategic goals. This role drives delivery health and innovation.

Qualifications

  • 8+ years in Data, Software, and Product Development with at least 4 years in senior engineering leadership.
  • Experience across AWS, GCP, and Azure with multi-cloud architecture.
  • Proficiency in Infrastructure-as-Code with Terraform and/or AWS CDK.
  • Strong ability to translate business requirements into engineering initiatives.

Responsibilities

  • Own the full engineering organization spanning software, data, AI/ML, solutions architecture, product, design, QA, and insights operations.
  • Define and evolve the technical architecture across cloud-native and lakehouse patterns.
  • Lead modernization efforts to retire and replace legacy applications.
  • Champion Infrastructure-as-Code practices and platform engineering standards.
  • Hire, develop, and retain top engineering talent.
  • Partner with operations and business leadership to translate ambiguous business requirements into engineering initiatives.
  • Own engineering delivery health.

Skills

Multi-Cloud Expertise
Infrastructure-as-Code Proficiency
Advanced Snowflake Experience
Legacy Modernization Leadership
Broad Engineering Fluency
Leadership
Talent Development
Business Requirements Translation
Collaboration
Data Engineering
Software Engineering
AI/ML
Cloud-Native Architecture
Solutions Architecture
Product Development

Tools

Terraform
AWS CDK
Snowflake

Job description

  • Own the full engineering organization spanning software, data, AI/ML, solutions architecture, product, design, QA, and insights operations
  • Define and evolve the technical architecture across layers with emphasis on cloud-native and lakehouse patterns
  • Lead modernization efforts to retire and replace legacy applications
  • Champion Infrastructure-as-Code practices and platform engineering standards
  • Hire, develop, and retain top engineering talent
  • Partner with operations and business leadership to translate ambiguous business requirements into engineering initiatives
  • Own engineering delivery health

Requirements

  • 8+ years of combined experience in Data, Software, and Product Development, with at least 4 years in senior engineering leadership
  • Multi-cloud expertise across AWS, GCP, and Azure
  • Infrastructure-as-Code proficiency with Terraform and/or AWS CDK
  • Business requirements translation experience
  • Advanced Snowflake experience including performance optimization, data sharing, and exposure to AI/ML services
  • Broad engineering fluency across data engineering, software engineering, AI/ML, UI/UX, and QA
  • Legacy modernization leadership experience

Core Competencies

Demonstrates extensive experience in engineering leadership, focusing on multi-cloud environments, Infrastructure-as-Code practices, and advanced data solutions. Proven ability to translate business requirements into technical initiatives while leading modernization efforts and developing top engineering talent.

Highest-signal resume keywords

  • Multi-Cloud Expertise
  • Infrastructure-as-Code Proficiency
  • Advanced Snowflake Experience
  • Legacy Modernization Leadership
  • Broad Engineering Fluency

ATS Optimization Keywords

Hard Skills

  • Data Engineering
  • Software Engineering
  • AI/ML
  • UI/UX
  • QA
  • Performance Optimization
  • Data Sharing
  • Cloud-Native Architecture
  • Solutions Architecture
  • Product Development

Soft Skills

  • Leadership
  • Talent Development
  • Business Requirements Translation
  • Collaboration

Industry Keywords

  • Infrastructure-as-Code
  • Cloud Patterns
  • Legacy Applications
  • Engineering Delivery Health

Tools & Technologies

  • AWS
  • GCP
  • Azure
  • Terraform
  • AWS CDK
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