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security devops saas ai cloud platforms📋 Description
- Architect and operationalize an AI-native development environment across engineering.
- Redefine the SDLC with AI-driven code generation, tests, docs, observability.
- Establish measurable improvements in productivity, quality, and cycle time via responsible AI.
- Partner with Product to embed AI into Appspace platform as a core differentiator.
- Design systems and tooling to boost developer throughput and scale.
- Drive modernization across legacy and acquired platforms; reduce complexity.
🎯 Requirements
- Bachelor's or equivalent in CS/SE or related field.
- 15+ years in software engineering, architecture, or platform dev.
- 5+ years in senior technical leadership roles (VP/SVP/Chief Architect).
- Proven enterprise architecture governance in multi-product SaaS.
- Deep expertise in modern architecture, cloud, DevOps, reliability, SDLC.
- Experience with M&A tech due diligence and post-integration.
🎁 Benefits
- Competitive compensation with medical, dental, vision, disability, life, 401(k), parental leave.
- Generous PTO
- Flexible work schedules
- Remote work opportunities
- Paid company holidays
- Appspace Quiet Fridays
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