Staff Backend Engineer leading Go - based platform services for Rivian - Volkswagen’s software - defined electric vehicles. Designing reliable APIs, distributed systems, and production operations.
About the role
- Senior HPC engineer building distributed execution, cloud infrastructure and CI/CD platforms for GeoSoftware’s geoscience software. Optimizing scientific workloads across HPC, cloud and object-storage environments.
Responsibilities
- Design and build the distributed execution framework, including task sequencing, dependencies, elastic scaling, checkpoint and restart, retry with backoff, structured error reporting and preservation of partial output
- Make workloads run across local multiprocessing, Dask, Ray, Slurm, PBS, Databricks, and managed cloud batch services on Azure, AWS and GCP behind one consistent interface
- Design structured job submission, status, progress and cost reporting for programmatic and manual monitoring
- Build job admission, entitlement and metering paths
- Build and maintain Terraform infrastructure as code for bring-your-own-cloud and externally administered environments
- Containerize compute components as lean, independently versioned images
- Implement deployment security, including identity and access management, least-privilege roles, secrets handling, network isolation, encryption and image/dependency scanning
- Support restricted and disconnected deployment scenarios
- Work with identity, blob and object storage, networking, quotas and cost control across a major cloud
- Parallelize and profile compute-bound scientific workloads across CPU, GPU and storage bandwidth
- Diagnose and fix I/O-bound behavior against blob and object storage
- Establish and defend performance baselines through measurement
- Own CI/CD, build and release engineering, including pipelines, nightly regression harnesses, native Windows and Linux installers, and containerized cloud delivery
- Establish observability for job lifecycle, resource utilization and cost across every backend
- Support the platform and incorporate operational learning into its design
- Collaborate with computational algorithm and front-end engineers in a small, senior, distributed team
Requirements
- Bachelor's degree in computer science, engineering, physics, mathematics or a related technical discipline, or equivalent practical experience
- Minimum 5 years of professional engineering experience in distributed computing, HPC or cloud platform engineering
- Demonstrable production experience with a distributed compute framework
- Demonstrable experience with infrastructure as code and working proficiency in one or two major cloud providers
- Experience owning a CI/CD and release pipeline end to end
- Sound security practice in cloud and containerized deployment: identity and access management, secrets handling and least privilege
- Able to work effectively in a small, remote, multi-timezone team, including writing things down, communicating asynchronously and operating without close supervision
- Fluent written and spoken English
- Production experience with at least one distributed compute framework—Ray, Dask, Spark or MPI
- Strong Python for orchestration, services and bindings
- Solid modern C++, or confidence to work in it
- Infrastructure as code, particularly Terraform
- Containerization and Kubernetes, including image layering and size discipline
- Working proficiency in Azure, AWS or GCP
- Practical blob and object storage performance experience
- Practical cloud security experience
- CI/CD pipelines, release engineering and operational support experience
Benefits
- Equal employment opportunities for all professionals
- Opportunities to work with international and diverse teams of experts
- Environment of excellence supporting talent development and career opportunities
- Hybrid work arrangement
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