Overview
On Site
160k - 180k
Full Time
Skills
DevOps
Machine Learning Operations (ML Ops)
Startups
Cyber Security
Workflow
Scalability
Regulatory Compliance
Strategic Leadership
Expect
Mentorship
Real-time
Amazon Web Services
Microsoft Azure
Cloud Architecture
Terraform
Continuous Integration
Continuous Delivery
SaaS
System On A Chip
IT Management
People Management
Artificial Intelligence
Machine Learning (ML)
Orchestration
GPU
Vector Databases
Cloud Computing
Optimization
Stacks Blockchain
Grafana
Microservices
Communication
Collaboration
SAP BASIS
Recruiting
Access Control
Job Details
Join a fast-paced AI startup building advanced, real-time cybersecurity systems powered by machine learning and autonomous workflows. As Platform Engineering Lead, you'll own the design and evolution of the company's cloud-native infrastructure, driving scalability, performance, and compliance across high-throughput, ML-driven workloads.
This hybrid role blends strategic leadership with deep hands-on engineering-expect to influence architectural direction, write production code, and mentor a growing team of engineers. You'll play a critical role in shaping the technical foundation of a next-gen SaaS platform transforming how complex operational data is processed and defended in real time.
Required Skills & Experience
This hybrid role blends strategic leadership with deep hands-on engineering-expect to influence architectural direction, write production code, and mentor a growing team of engineers. You'll play a critical role in shaping the technical foundation of a next-gen SaaS platform transforming how complex operational data is processed and defended in real time.
Required Skills & Experience
- Advanced expertise in AWS and working knowledge of Azure; deep background in multi-cloud architecture, IaC (Terraform, Pulumi, or CloudFormation), and CI/CD tooling
- Demonstrated success scaling secure, compliant infrastructure for SaaS environments, including SOC2 or similar frameworks
3+ years in technical leadership roles with direct team-building responsibility
- Experience supporting AI/ML infrastructure, such as LLM orchestration, GPU workloads, and vector databases
- Familiarity with FinOps principles, cloud cost optimization, and observability stacks (e.g., Datadog, Prometheus, Grafana)
- Exposure to modern service mesh technologies (Istio, Linkerd) and microservice communication patterns
- Hands-On Engineering: 65%
- Team Collaboration & Cross-Functional Work: 35%
Applicants must be currently authorized to work in United States on a full-time basis now and in the future.
Accommodation will be provided in all parts of the hiring process as required under Motion Recruitment's Employment Accommodation policy. Applicants need to make their needs known in advance.
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