Senior Systems Engineer – Cross-Region DR Pipelines

United States Digital Space LLC; Mountain View (CA); On-site; USD 192,000 - 260,000; Full time

Job summary

the company in Mountain View, CA is seeking a Staff Engineer for the Lakeflow Disaster Recovery team. You will design distributed systems that replicate and recover pipelines across regions, addressing state, checkpoints, and metadata to prevent data loss or duplication.

You will tackle cross-region replication, distributed consistency, failover workflows, and failure-injection testing to ensure resilient data pipelines.

Qualifications

• A passion for distributed systems, databases, storage systems, streaming systems, or reliability engineering.
• Strong software engineering skills in Java, Scala, C++, Go, Python, or a similar production language.
• Understanding of consistency, transactions, idempotency, replication, checkpointing, and data lineage.
• Ability to define and work toward a multi-year technical vision with incremental, production-quality deliverables.
• 8+ years of experience working on related systems preferred.
• Optional: PhD or advanced research experience in databases, distributed systems, or storage.

Responsibilities

• Design and implement distributed systems that replicate and recover pipelines across regions.
• Work on cross-region replication and recovery for Lakeflow pipelines, streaming tables, and materialized views.
• Develop failover and failback workflows with conservative correctness guardrails.
• Work on deep clone, metadata reconciliation, observability, and failure-injection testing.
• Contribute to high-fidelity recovery simulations, game-day testing, and formal reasoning about failure modes.

Skills

Distributed systems

Java

Scala

C++

Go

Python

8+ years experience

Education

PhD or advanced research experience in databases, distributed systems, or storage

Job description

the company in Mountain View, CA is seeking a Staff Engineer for the Lakeflow Disaster Recovery team. You will design distributed systems that replicate and recover pipelines across regions, addressing state, checkpoints, and metadata to prevent data loss or duplication.

You will tackle cross-region replication, distributed consistency, failover workflows, and failure-injection testing to ensure resilient data pipelines.