---
title: 'Senior Database Reliability Engineer at Scribe'
canonical: 'https://feeny.ai/job/senior-database-reliability-engineer-scribe-remote-e133st8xvp29'
type: 'job'
last_seen: '2026-10-14'
---

# Senior Database Reliability Engineer at Scribe

- **Company:** Scribe
- **Location:** Remote
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-10-12
- **Last confirmed live:** 2026-10-14
- **Apply:** https://jobs.ashbyhq.com/scribe/e8c36a84-1bff-4918-837e-667436bad978

## Job description

## About Scribe

[Scribe](https://scribe.com) is where exceptional people come to do the best work of their careers. More than 94% of the Fortune 500 use Scribe to own their specialized intelligence: the unique way their teams work, decide, and get things done. Our Specialized Intelligence platform automatically captures how work happens and turns it into a living asset for people and AI agents. We're growing fast. Since our founding in 2019, we've reached 7 million users across 600,000 businesses. Based in San Francisco, we're a LinkedIn Top Startup, valued at over $1B, and backed by leading investors. Join us in our mission to transform how people work.

## About the role

We're hiring a Senior Database Reliability Engineer to own the reliability, performance, and scalability of Scribe's data tier. Our engineering org is doubling — which means the guardrails, automation, and standards you put in place today will carry a much larger team through the next phase of growth. This is a senior IC role with real ownership: you'll set the bar for how engineers across the company interact with our databases, not just keep the lights on. Our stack is Django on PostgreSQL (Aurora Serverless V2), OpenSearch, Redis (ElastiCache), SQS, and RabbitMQ, with a CDC pipeline running Aurora to DMS to S3 Parquet to Snowflake. Engineers ship through the ORM, not raw SQL — which makes migration safety, index design, and query review genuinely high-stakes work.

## What you'll do

You'll be a key engineer on the data tier - helping design schemas and access patterns that scale, tune Aurora for latency and throughput, and reinforce the standards for how engineers interact with our databases. When a migration script seizes up mid-deploy and writes start queueing behind an ACCESS EXCLUSIVE lock, you're shipping the fix.

Make the Django ORM a strength, not a liability:

- Review migrations for safety at scale — locks, backfills, concurrent index builds, NOT VALID constraints
- Catch N+1 patterns and missing select_related/prefetch_related in review
- Apply and extend conventions for QuerySet usage and physical schema design (indexes, constraints, partitioning)
- Help scale review through automation — contribute to AGENTS.md files and DNA scaffolding that encode our conventions, tune AI review bots (Claude Code, Cursor, etc.) to flag risky migrations and ORM anti-patterns, and iterate on those configs as new failure modes emerge

Contribute to major infrastructure initiatives:

- Capacity planning workstreams as traffic and engineering throughput grow
- Zero-downtime schema migrations and cutovers
- Multi-AZ resilience within a single region — Aurora writer/reader placement, failover behavior and RTO/RPO, ElastiCache and OpenSearch AZ topology, RabbitMQ survivability across AZs
- Backups, PITR, failover testing, retention

Operate and extend the CDC pipeline (Aurora → DMS → S3 Parquet → Snowflake):

- DMS task tuning, replication slot hygiene on the Postgres side
- Schema evolution as Django migrations roll through — so a column drop doesn't silently break the warehouse at 6 AM
- Parquet layout and partitioning, reliability of the Snowflake handoff
- Build automated checks that flag migrations likely to break downstream consumers

Build tooling and guardrails:

- Migration review automation and CI checks for risky patterns
- Slow query pipelines fed from pganalyze
- Self-service dashboards so teams understand their own query footprint

Support and evolve the rest of the stack:

- OpenSearch — index design, sharding, mapping changes, reindexing strategy, Django-side indexing pipelines
- Redis — caching patterns, eviction, sizing, Django cache framework, Celery/RQ usage, avoiding hot keys and thundering herds
- SQS + RabbitMQ — queue design, DLQs, visibility timeouts, exchange/queue topology, AZ mirroring, consumer backpressure, Celery behavior under load

Mentor and share knowledge — With a large incoming class of engineers, contribute to onboarding docs, tech talks, and written guidance — which double as input for the AI review tooling. Run sessions on "what your ORM query is really doing." Participate in incident response and blameless postmortems for the data tier.

## What we're looking for

- Strong PostgreSQL — EXPLAIN (ANALYZE, BUFFERS), MVCC, bloat, lock contention, vacuum/autovacuum. Aurora Serverless V2 experience preferred (storage model, reader/writer split, ACU scaling)
- ORM fluency (Django, SQLAlchemy, ActiveRecord, or similar) — predict the SQL a query will generate, spot N+1 problems on sight and how to control eager loading, column projection, aggregations, and subqueries
- Single-region multi-AZ design — practical understanding of what it does and doesn't protect against
- Production CDC experience, ideally AWS DMS — comfortable with logical replication, slot hygiene, schema evolution, and Parquet-based data lakes feeding Snowflake (or BigQuery/Redshift)
- Hands-on with pganalyze (or Datadog DBM / Performance Insights / pg_stat_statements pipelines) and CloudWatch (custom metrics, alarms, log insights)
- Experience using AI coding and review tools in a team setting — writing or maintaining AGENTS.md files, configuring review agents, iterating on prompts and configs
- At least one production message broker (SQS, RabbitMQ, Kafka) — delivery semantics, idempotency, failure modes
- Solid automation and IaC background — real code (Python, Go, or similar) and Terraform
- Track record contributing to cross-team initiatives, writing design docs that hold up, collaborating effectively across teams
- Comfortable in a high-growth environment where conventions evolve quickly

## Nice to have

- Event sourcing on Postgres, or experience with alternate CDC tooling (Debezium, Fivetran, Airbyte)
- pgbouncer or RDS Proxy at scale with Django connection handling
- Deep Honeycomb usage: SLOs, BubbleUp, Triggers, derived columns
- Snowflake from the producer side: staging, Snowpipe, external tables on Parquet
- Experience scaling data infrastructure through rapid engineering headcount growth
- SOC 2 Type II, GDPR, or similar compliance work

## Why you'll love working here

- Hard, open problems. Nobody hands you a finished spec. You'll decide what to build with your PM and designer, then own how it performs.
- The reach of a unicorn, the headcount of a startup. We went from $1M to $100M ARR in under four years, with fewer than 200 people. That means more pie than people: scope grows with your impact. Customers like T-Mobile, LinkedIn, HubSpot, New York Life and Northern Trust run on Scribe, so what you own reaches some of the biggest names in business.
- Smart is the floor. Kind is the bar. Low ego, high standards. We compete as a collective and love to see each other win, and One Team, One Dream is one of the most shouted-out values in #values.

## Compensation & Location

San Francisco (hybrid, 3 days per week in-office) or, Remote based permanently in PST (Pacific Standard Time). All full-time employees receive equity in Scribe. Final offers depend on experience and scope.

## Benefits

- Healthcare Coverage – Comprehensive health, dental, and vision plans, including two $0/month medical plan options for employees
- Equity – Ownership in what we're building
- 401(k) Plan – through Vestwell
- Flex Benefit – $500/year for home office equipment, productivity tools, learning & development or fitness/wellness
- Commuter Benefits – $100/month for SF based employees
- PTO – Flexible paid time off and company holidays
- Parental Leave – Paid leave to support growing families
- Wellness & Family Support – Free Talkspace membership, One Medical access (location-dependent), and Kindbody discounts for family planning

At Scribe, we celebrate our differences and are committed to creating a workplace where all employees feel supported and empowered to do their best work. Scribe is proud to be an Equal Opportunity Employer.

## About Scribe

## Company Overview
- **One-liner**: Scribe is an AI-powered platform that automatically captures, documents, and shares workflows, providing the missing context for teams and AI agents to operate efficiently.
- **Entity Type**: Private (Series B)
- **Headquarters**: San Francisco, California, USA (with employees across 3 continents)
- **Founded**: 2020
- **Founders**: Jennifer Smith (CEO) and Aaron Podolny

## Core Business
- Primary industry: Workflow documentation, AI-powered process intelligence, and enterprise knowledge management
- Target customers: B2B, serving both SMBs and large enterprises (94% of the Fortune 500 are customers)
- Mission: "To unleash and uplevel the world's know-how" — making it automatic for the "go-to person" on every team to share how they get things done

## Products & Services
- **Scribe Platform**: An AI-powered tool that automatically captures step-by-step workflows as users work, transforming institutional knowledge into documentation, guides, and context that both human teams and AI agents can read.
- **Scribe AI**: A suite of AI features that analyzes workflows to surface bottlenecks, redundancies, and time drains; provides data-backed recommendations for automation; and gives AI tools (like agents and copilots) the workflow context they need to perform 71% better.
- **Workflow Intelligence**: A product that helps enterprises build their AI roadmap in days by identifying exactly where AI and automation will have the biggest impact and proving ROI.

## Market Standing
- **Valuation**: $1.3 billion (as of early 2026, per Fortune reporting)
- **Key Metric**: Total funding raised of $130M; YoY revenue growth of 300%
- **Notable Investors/Partners**: Not explicitly named in search results, but the company is backed by prominent venture capital firms (early backers mentioned on the about page)
- **Growth Signals**:
  - 6 million+ users and hundreds of thousands of organizations
  - 94% of the Fortune 500 are customers
  - 100+ employees across 3 continents
  - 35 hours saved per person per month for Pro Team & Enterprise customers
  - 98% of customers say they make fewer mistakes
  - 95% of leaders say Scribe enables them to do more with less
  - 12x faster documentation creation

## Competitive Advantages
- **Network effects**: Every workflow captured enriches the platform's AI models, making recommendations smarter for all users
- **Enterprise-grade security**: Meets SOC 2 Type II, HIPAA, CCPA, GDPR, FERPA, and other compliance standards, with automatic redaction of sensitive data
- **AI-native architecture**: Purpose-built to provide context to both human teams and AI agents, solving the "context gap" that limits AI agent adoption in enterprises
- **Zero-friction capture**: Documentation happens automatically as users work — no manual steps, no interrupting workflow
- **High switching costs**: Becomes the "single source of truth" for all organizational processes, deeply embedded in daily operations

## Strategic Focus
- **AI transformation**: Helping enterprises build their AI roadmap in days by measuring exactly where AI and automation will have the biggest impact
- **Context for AI agents**: Positioned as the platform that gives AI tools the workflow context they've been missing — a critical enabler for enterprise AI agent adoption
- **Scaling the best ways of working**: Ensuring best practices are followed consistently across teams and tools
- **International expansion**: Already operating across 3 continents, with continued hiring globally

## Why Work Here
- **Culture and values**: Strong emphasis on six core values that drive decisions daily: Accelerate Impact, Rapid Learning Machine, Raise the Bar, Clear is Kind, Make Our Users Heroes, One Team One Dream. These aren't "corporate buzzwords" — they are used regularly in meetings and decision-making.
- **High agency, low ego**: Described as a place with no micromanagement, no ego — just "thoughtful, humble, incredibly driven teammates."
- **Recruiting as a strategic advantage**: Talent is treated as foundational, not transactional. Hiring managers partner deeply with recruiting from day one. The bar is high but never lowered, even as headcount doubles.
- **Rapid growth trajectory**: 300% YoY revenue growth and a $1.3B valuation mean employees are building at scale with significant resources and impact.
- **Remote/hybrid policy**: Not explicitly stated, but the company has employees across 3 continents, suggesting a distributed or hybrid model.
- **Mission-driven work**: Employees are united by a mission to "uplevel how people do work" and make every team member more effective.

## Sources
1. [scribe.com](https://scribe.com/) — Main product site with customer stats and value proposition
2. [scribe.com/about](https://scribe.com/about/) — Company mission, history, and values
3. [scribe.com/careers](https://scribe.com/careers) — Careers page with culture, values, and growth metrics
4. [scribe.com/library/what-its-like-to-recruit-at-scribe](https://scribe.com/library/what-its-like-to-recruit-at-scribe) — Internal recruiting blog post detailing culture and hiring philosophy
5. [fortune.com](https://fortune.com/2026/scribe-1.3-billion-valuation-ai-workflow/) — Fortune article: "Scribe hits $1.3B valuation as it moves to show where AI will actually pay off"

## Other roles at Scribe

- [Information Security and GRC Manager](https://feeny.ai/job/information-security-and-grc-manager-scribe-san-francisco-amdnrces8z8z) — San Francisco, CA
- [GTM Operations Manager, Enablement](https://feeny.ai/job/gtm-operations-manager-enablement-scribe-united-states-m9grn497w8d9) — United States
- [Senior DevOps Engineer](https://feeny.ai/job/senior-devops-engineer-scribe-remote-crhg4g7vg1t6)
- [Senior Full-Stack Engineer](https://feeny.ai/job/senior-full-stack-engineer-scribe-united-states-vvgdt0jhc55f) — United States
- [Senior Backend Engineer](https://feeny.ai/job/senior-backend-engineer-scribe-united-states-gzf8abmrr0n5) — United States
- [Engineering Manager, QA](https://feeny.ai/job/engineering-manager-qa-scribe-remote-dygwtzd51qny)
- [Account Executive, SMB](https://feeny.ai/job/account-executive-smb-scribe-san-francisco-t2dqhzsa2fnx) — San Francisco, CA
- [Sales Development Representative](https://feeny.ai/job/sales-development-representative-scribe-san-francisco-yxxevamwzdkg) — San Francisco, CA
- [Account Executive, Emerging Enterprise Expansion](https://feeny.ai/job/account-executive-emerging-enterprise-expansion-scribe-united-states-f6a0p742742g) — United States
- [Solutions Engineer](https://feeny.ai/job/solutions-engineer-scribe-san-francisco-051g2v4081h4) — San Francisco, CA