Software Engineer - Data Aquisition (systems)

📋 Description

• Build and operate reliable infrastructure for research workloads and research-facing services.
• Improve data infra stack: processing, crawl/ingest, caching, search, observability, and cluster services.
• Improve cluster bootstrapping, provisioning, automation, and deployment workflows.
• Debug issues across networking, compute, storage, orchestration, and reliability layers.
• Build software and automation to reduce manual work and improve reliability.
• Partner with researchers and engineers to translate needs into durable solutions.

🎯 Requirements

• Strong systems fundamentals and scalable infrastructure understanding.
• Proficient with Linux, networking, Kubernetes, provisioning, and distributed systems.
• Able to write software to automate, debug, and improve infrastructure.
• Strong execution mindset; can drive ambiguous infra work independently.
• Enjoy supporting a wide surface area of systems, from tooling to platform services.
• Pragmatic about building vs using existing tools.

🎁 Benefits

• PXE boot, cluster provisioning, bare-metal infra, large-scale fleet management.
• Operating Kubernetes or similar orchestration systems at scale.
• Infrastructure-as-code, CI/CD, observability, deployment automation.
• Supporting search infra, data platforms, ingest systems, or large-scale research workflows.
• Git-based workflows and internal developer tooling.
• Reliability, scale, and speed-focused environments.