AI-Native SDLC Engineer — Drive Embedded Agent Platform

HubSync; United States; On-site; USD 180,000 - 240,000; Full time

Job summary

HubSync is seeking a Staff or Senior AI software engineer to own the AI-native SDLC across the company. You will embed with each squad, design the harness layer, and drive adoption of AI agents that plan, review, test, and operate code.

Your work will ship weekly, set governance, measure cycle time and defect escape, and turn feedback into better tooling. Candidates should demonstrate multi-agent workflows, strong CI/CD, and practical AWS infrastructure skills.

Qualifications

• Demonstrated ability to run multiple AI agents in parallel and show real results.
• Strong CI/CD practice and the ability to ship working deployable code quickly.
• Good grasp of infrastructure to unblock teams (AWS).
• Comfort leading teams and driving adoption with tangible outcomes.

Responsibilities

• Build internal AI agents as products across the full lifecycle.
• Embed with each squad, demonstrating value and removing blockers.
• Own measurement: cycle time, review latency, defects, cost per feature.
• Define and maintain governance and tooling while enabling teams to choose tools.

Skills

AI coding tools proficiency

CI/CD expertise

Infrastructure knowledge (AWS)

Team enablement

Tools

GitHub

Claude Code

Cursor

Playwright

AWS

Job description

HubSync is seeking a Staff or Senior AI software engineer to own the AI-native SDLC across the company. You will embed with each squad, design the harness layer, and drive adoption of AI agents that plan, review, test, and operate code.

Your work will ship weekly, set governance, measure cycle time and defect escape, and turn feedback into better tooling. Candidates should demonstrate multi-agent workflows, strong CI/CD, and practical AWS infrastructure skills.