Senior Data Engineering Engineer - AI/ML & Cloud-Native Lead

Jobtailor; Sunnyvale (CA); On-site; USD 140,000 - 200,000; Full time

Job summary

Jobtailor is seeking an experienced software engineering lead to drive the delivery of features and models, designing scalable software and integrating GenAI/ML components. You will ensure engineering excellence through code reviews and leadership while collaborating with cross-functional teams to translate complex requirements into high-quality software.

You will mentor peers, monitor performance, and actively support defect resolution, contributing to continuous improvement and best practices

Qualifications

• Bachelor's degree in CS or related field with 3+ years in software engineering or 5+ years.

Responsibilities

• Lead the delivery of scoped features and models through collaborative teams.
• Design, develop, test, and maintain scalable software solutions.
• Integrate GenAI/ML components and drive continuous improvement.
• Uphold engineering excellence through code reviews and technical leadership.
• Collaborate with cross-functional partners to translate complex requirements into high-quality software.
• Monitor application performance and support defect resolution.
• Mentor peers and promote engineering best practices.

Skills

Scala

JavaScript

Python

Java

Object-Oriented Programming

Code Review

Debugging

Documentation-Based Coding Practices

AI/ML Integration

Cloud Platforms

Apache Kafka

Education

Bachelor's degree in computer science / computer engineering / computer information systems / software engineering or related area

Tools

Apache Kafka

Cloud-Native Architecture

Job description

Jobtailor is seeking an experienced software engineering lead to drive the delivery of features and models, designing scalable software and integrating GenAI/ML components. You will ensure engineering excellence through code reviews and leadership while collaborating with cross-functional teams to translate complex requirements into high-quality software.

You will mentor peers, monitor performance, and actively support defect resolution, contributing to continuous improvement and best practices