Anchor: Anthropic · Staff+ Software Engineer, Data Infrastructure · fetched 2026-11-04.
One posting per company. Pinned by hand for OpenAI, Databricks, Perplexity: those entries are the closest staff-level match on the board, not an automatic pick. Not a category report.
Snapshot
Technique matrix
The roles in depth
Anthropic — Staff+ Software Engineer, Data Infrastructure
- Level: staff+ · Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY · Days open: 264
- Experience stated: 10+ years, 3+ years
- Apply: https://job-boards.greenhouse.io/anthropic/jobs/5114768008
- Crawl / index / data pipeline: "users and systems. Financial Data Infrastructure: Build and maintain data pipelines and warehouses powering business-critical reporting. Ensure data integrity, accuracy, and availability for co"
- Distributed systems: "Cloud Storage & Reliability: Architect disaster recovery, backup, and replication systems for petabyte-scale data. Ensure high availability and durability of data stored in cloud object stora"
- Infrastructure as code (Terraform / Pulumi): "ogramming languages like Python, Go, Java, or similar Experience with infrastructure-as-code (Terraform, Pulumi) and cloud platforms (GCP, AWS) Can navigate complex technical tradeoffs between performan"
- Kubernetes / cloud infra: "cientists, analysts, and business stakeholders while diving deep into cloud infrastructure primitives. Responsibilities: Within Data Infra, you may be matched to critical business areas including: Dat"
- Spark / Flink / Kafka / Ray: "processing infrastructure using technologies like BigQuery, BigTable, Airflow, dbt, and Spark. Optimize query performance, manage costs, and enable self-service analytics across the organ"
OpenAI — Software Engineer, Data Infrastructure
- Level: mid/unspecified · Location: San Francisco · Days open: 860
- Experience stated: 4+ years, 4+ years
- Apply: https://jobs.ashbyhq.com/openai/f763c6b3-5167-4a67-b691-4c3fa2c44156
- Distributed systems: "tructure tooling like Terraform, experienced in debugging large-scale distributed systems, and excited about solving data infrastructure problems in the AI space. This role is based in San Francisco,"
- Latency / serving / caching: "g and Delta with a vision toward exabyte-scale architecture; run high throughput streaming platforms on Kafka and Flink; provide orchestration with Airflow; and support ML feature engineerin"
- Infrastructure as code (Terraform / Pulumi): "eberg as platforms. You’re well-versed in infrastructure tooling like Terraform, experienced in debugging large-scale distributed systems, and excited about solving data infrastructure prob"
- Kubernetes / cloud infra: "eberg as platforms. You’re well-versed in infrastructure tooling like Terraform, experienced in debugging large-scale distributed systems, and excited about solving data infrastructure prob"
- Spark / Flink / Kafka / Ray: "ct, research, and analytics workflows. We operate some of the largest Spark compute fleets in production; design, and build data lakes and metadata systems on Iceberg and Delta with a v"
Databricks — Sr. Staff Software Engineer - Money Team
- Level: staff+ · Location: Bellevue, Washington · Days open: 358
- Experience stated: 9+ years
- Apply: https://databricks.com/company/careers/open-positions/job?gh_jid=8285949002
- LLM application: "lop and implement innovative pricing strategies and plans. Use AI and LLMs to innovate in cost insight, prediction, and optimization across various cloud providers. You will become an"
- Crawl / index / data pipeline: "ll be closely involved in the entire billing process, including usage ingestion, metering, pricing, credits, promotions, payments, usage reporting, and cost center and budgeting. Your role"
- Kubernetes / cloud infra: "idual developers, across different pricing plans and cloud providers (AWS, GCP & Azure). As a Sr. Staff Software Engineer on the Money team, you will be closely involved in the entire"
- Spark / Flink / Kafka / Ray: "to their missions. Founded in 2013 by the original creators of Apache Spark™, Databricks has grown from a tiny corner office in Berkeley, CA to a global organization with over 6500 empl"
Perplexity — Member of Technical Staff (Software Engineer, Data Platform)
- Level: staff+ · Location: San Francisco · Days open: 154
- Experience stated: 5+ years, 8+ years
- Apply: https://jobs.ashbyhq.com/perplexity/2e73bc78-684c-47c5-95df-e9973a10e0b6
- Crawl / index / data pipeline: "Platform team owns the end-to-end data lifecycle at Perplexity, from ingestion through processing, storage, and serving, powering product features, analytics, experimentation, AI workloads"
- Latency / serving / caching: "(Go, TypeScript, etc.). - Strong systems thinking around reliability, latency, cost, and complexity tradeoffs. - Experience supporting ML/AI workflows, training pipelines, or evaluation s"
- Online experimentation: "ocessing, storage, and serving, powering product features, analytics, experimentation, AI workloads, and the company’s data lake. The team defines the architecture for batch and streaming systems"
- Spark / Flink / Kafka / Ray: "h as Databricks and Snowflake with open-source technologies including Spark, Kafka, Flink, Airflow, Dagster, dbt, Iceberg, Delta Lake, and ClickHouse. In this senior/staff role, you wil"
Differences that matter
- The matrix above is literal: a ✅ means the description names the technique family.
- Day counts are first-publication age; older postings may be evergreen requisitions.
- Compensation is omitted unless a posting states a range.
Rehearse this
- Cache/backpressure/partial failure:
/questions/cache-warmup-backpressure - Systems and storage drills:
/question-bank - Performance practice:
/python