San Francisco, CA

Salary
$247,500–$275,000from the description
Posted
Aug 18, 2026
Location
San Francisco, CA
Last confirmed open
Sep 25, 2026

What this job asks for AI summary

A Director-level engineering leadership role at an AI-driven infrastructure observability company, responsible for architecting, building, and operating large-scale distributed platforms that handle hundreds of millions to billions of events and terabytes to petabytes of data. The role spans people management (engineering managers, architects, staff engineers) and deep technical ownership of Java-based microservices, Kafka streaming pipelines, data lakehouse platforms, and cloud-native services. Suited to a hands-on engineering leader who can set technical strategy while staying close to production systems and complex architectural decisions.

Principal level · 10+ years · San Francisco-Oakland-Berkeley, CA · Full-time

Must have (10)
JavaApache KafkaKubernetesmicroservicesdistributed systemsAWS, GCP or AzureCI/CDcontainersNoSQLobservability
Nice to have (2)
data lakehouseinfrastructure as code

“or” means any one of them counts — you don't need all of them.

We read this from the posting text with AI. Skim the description below before ruling yourself out.

How this req sits in the market our data

Roughly 30 people in the San Francisco-Oakland-Berkeley, CA area plausibly meet what this posting asks for (computer and information systems managers). range 20–45

Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.

What gives you an edge
Apache Kafka12%

Rare in this occupation — lead with these, and say what you built with them.

What won't set you apart
CI/CD45%

Most people in this occupation already list these. Still required — just not what gets you shortlisted.

What the occupation pays Median $238,011 (middle half $208,323–$320,108). This posting is about at that midpoint.

Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 20, 2026. It is a model, not a headcount.

Why we read it this way (5)

This role sits at the boundary between people management (11-3021) and hands-on senior engineering (15-1252). The posting explicitly calls it a 'strategic leadership role' with direct responsibility for recruiting, mentoring, and developing engineering managers and architects — but also emphasizes the candidate must remain technically hands-on, participate in architecture reviews, and guide teams through production incidents. 11-3021 was chosen as primary because the scope (multiple teams, org-wide technical strategy, people management) is the dominant framing.

AWS is listed as an example cloud platform alongside Google Cloud and Azure ('at least one major cloud platform, such as AWS, Google Cloud, or Microsoft Azure'); all three are captured as alternatives under a single skill.

The posting mentions 'data lake and Data Lakehouse platforms' and 'relational, NoSQL, streaming, and object-storage technologies' in the responsibilities/requirements sections but without naming specific products (e.g., Snowflake, Delta Lake, S3). Only the generic capability categories are captured.

The compensation range ($247,500–$275,000) is stated as base salary only; variable compensation and benefits are noted as additional components but not quantified.

The role is listed as hybrid (#LI-Hybrid), not fully remote.

Read the full posting

The employer publishes the full description on their own site — read it there ↗. Or sign in to read it here — it's free, and it also lets you track this application.

Apply

Apply on employer site ↗