Design and operate high-performance cloud infrastructure on Google Cloud Platform to support large-scale atmospheric model processing. Key responsibilities include GCP infrastructure setup, storage architecture, and orchestration support. Ideal candidate has strong DevOps mindset and experience with GPU-based HPC environments on GCP.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
GCP DevOps Engineer (HPC / GPU) – Energy Trading
Remote | 75 Man-Days | March 30 – July 15, 2026
We are building a high-performance Weather Data Pipeline for systematic Energy Trading and are looking for a senior GCP DevOps Engineer with strong HPC and GPU experience.
This is a clearly defined build-phase project with production-grade standards and measurable deliverables.
Scope of Work
You will design and operate a high-performance cloud infrastructure on Google Cloud Platform to support large-scale atmospheric model processing.
Core Responsibilities
GCP Infrastructure
- Setup and management of Compute Engine GPU instances (NVIDIA A100)
- Handling Spot / Preemptible instance lifecycles
- Cost optimization using Committed Use Discounts (CUDs)
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Storage Architecture
- Design of scalable storage hierarchies
- High-I/O Balanced Persistent Disks for GPU caching
- Efficient migration of large tensor outputs to GCS for archiving
Networking & Security
- VPC configuration and secure architecture design
- IAM role implementation aligned with best practices
- API gateway configuration for secure external data ingestion
Orchestration Support
- Infrastructure support for Apache Airflow
- Implementation of resilient, production-ready environments
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Ideal Profile
- Proven experience building GPU-based HPC environments on GCP
- Strong DevOps mindset with production-grade security awareness
- Experience supporting scientific or data-intensive workloads
- Independent, delivery-oriented, and fully remote capable
Engagement Details
- 75 man-days (624 hours)
- Weekly timesheets
- 8 hours/day, 40 hours/week
- 100% remote
- Project period: March 30 – July 15, 2026
If this aligns with your expertise, feel free to reach out via DM.
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