Senior Full Stack Platform Engineer
Location: 100% Remote
We are seeking a Senior Full Stack Platform Engineer to build and operate the systems that power large-scale data processing, forecasting workloads, and compute-intensive applications. This is a hands-on engineering role focused on writing production-grade code and standing up cloud-native infrastructure on AWS and Kubernetes, including GPU- and TPU-based workloads .
You will design and implement end-to-end systems that collect data, run compute workloads, and expose reliable services to internal users.
The Opportunity for you:
- Design and build end-to-end backend and platform services using Python
- Develop and operate data ingestion and processing pipelines for large datasets
- Build and maintain infrastructure on AWS , operating services on Kubernetes (EKS)
- Deploy and manage GPU and TPU-backed compute workloads
- Write infrastructure and platform code to provision, upgrade, and operate systems
- Collaborate on system design for scalable, fault-tolerant distributed services
- Own reliability, performance, and observability of production systems
- Partner with data and ML teams to support forecasting and compute workflows
Key Success Factors:
- Strong software engineering background (8 YOE) with expert-level Python Programming.
- Hands-on experience building backend or full-stack systems in production
- Strong experience with AWS cloud infrastructure
- Deep operational knowledge of Kubernetes
- MUST have deep scaling and operating experience in Kubernetes (deployment, scaling, troubleshooting).
- Proven experience running workloads on GPU and TPU infrastructure
- Solid understanding of distributed systems , system design, and scalability
Nice to Haves:
- Experience with data pipelines and SQL-based ingestion systems
- Familiarity with forecasting, batch compute, or data-intensive workloads
- Experience supporting ML or AI workloads (platform-side, not research)
