Engineering Manager (Full Stack, DevOps, Cloud)

Your Role

We are building 5ive.ai a deeptech AI platform that personalizes video-based learning at scale for K-12 students. As our Engineering Manager, you'll lead the full engineering stack: from cloud architecture and DevOps to scalable frontends and personalized content pipelines. You will shape the technology roadmap and manage an elite team delivering real-world AI at scale.

What You'll Own

Engineering Leadership

• Lead, hire, mentor, and grow a high-performing engineering team.
• Manage the end-to-end technical delivery of features and infrastructure.
• Collaborate cross-functionally with product, design, and AI/ML teams.

Full Stack Architecture

• Architect frontend (React/Next.js) and backend (Node.js/Python) systems.
• Lead design of scalable, modular, and reusable components and APIs.
• Implement observability and performance tracking in client-side apps.

DevOps & Cloud Strategy

• Architect secure and scalable systems on AWS (EC2, Lambda, S3, RDS, CloudFront, MediaConvert, etc.)
• Own CI/CD pipelines and environment workflows (dev staging prod).
• Automate infra using Terraform, CloudFormation, or AWS CDK.

Adaptive Video Streaming

• Build & optimize our personalized video delivery platform.
• Integrate HLS/DASH-based streaming, FFmpeg pipelines, DRM/CDN workflows.
• Evaluate vendors (Vimeo, Mux, AWS Media Services) and self-hosting tradeoffs.

AI/ML Infrastructure Integration

• Collaborate with Data Science to deploy and scale ML models.
• Build support for GPU-inferencing, microservices, and async workers.
• Support real-time content personalization based on user traits.

Security & Compliance

• Ensure best practices for cloud IAM, VPC security, access control.
• Help align infrastructure and data flows with COPPA, GDPR, FERPA.

Team Processes & Quality

• Define workflows for code reviews, TDD, BDD, release cycles.
• Instill strong engineering culture, balancing speed and quality.

What Were Looking For

• 10+ years of experience in software engineering; 2+ in engineering leadership.
• Hands-on expertise across full stack: Node.js, Python, React/Next.js.
• Deep knowledge of AWS ecosystem & DevOps (CI/CD, monitoring, cost optimization).
• Experience building and deploying enterprise-grade applications.
• Track record of managing scalable video delivery infrastructure.
• Strong understanding of microservices, container orchestration (Docker/Kubernetes).

Nice to Have

• Experience with FFmpeg, DRM, CDN optimization.
• Knowledge of student data privacy and security standards.
• Prior work in edtech or AI/ML deployment environments.
• Familiarity with frontend observability tools (Sentry, Lighthouse).

Key Skills Checklist

• Full Stack (Node.js, Python, React, Next.js)
• AWS (EC2, S3, Lambda, CloudFront, RDS, MediaConvert)
• DevOps (CI/CD, GitHub Actions/GitLab CI, Jenkins)
• Infrastructure as Code (Terraform, CloudFormation, AWS CDK)
• Video Streaming (FFmpeg, HLS/DASH, DRM, Mux, Vimeo, AWS Media)
• Observability (CloudWatch, Prometheus, ELK, Datadog)
• AI/ML Infra (GPU inference, async workers, SageMaker familiarity)
• Security (IAM, VPC, secrets management)
• Microservices (Docker, Kubernetes)
• Team Leadership & Agile Delivery