---
title: 'Senior Site Reliability Engineer at Airbyte'
canonical: 'https://feeny.ai/job/senior-site-reliability-engineer-airbyte-san-francisco-w9878hmyt3ma'
type: 'job'
last_seen: '2026-09-10'
---

# Senior Site Reliability Engineer at Airbyte

- **Company:** Airbyte
- **Location:** San Francisco, CA
- **Compensation:** $196k–$255k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-08-25
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.ashbyhq.com/airbyte/5930fed9-c4f6-43c3-87be-3402c2c46489/application

**Skills:** Kubernetes, Helm, Terraform, Prometheus, Grafana, Datadog, CI/CD, AWS, GCP, LLMs, Agentic frameworks, Data pipelines, ETL/ELT platforms, Control plane architectures, Data plane architectures, Internal developer platforms, Airbyte, CDKs, Connector-based architectures

> Own infrastructure and reliability for the Data Replication platform, managing Kubernetes, CI/CD, and cloud resources. Drive down incidents, enhance observability with AI automation, and build self-serve tooling to support engineers.

## Job description

Airbyte is the data and action layer for AI agents. We give agents fast, accurate, authenticated access to business data across hundreds of sources, so they can discover the entities that matter, reason over real-time context, and take action in the systems they read from, not just observe them.

We started as the open-source standard for data movement and proved the economics of data integration at scale: hundreds of connectors, thousands of companies, and, since 2020, have raised $181M from leading investors including Benchmark, Accel, Altimeter, Coatue, and Y Combinator. As our CEO Michel Tricot puts it, "the last ten years were all about structured data. The future is all about context." We're now building that context infrastructure for production-grade agents on the same open foundation, as agents become the primary consumers of enterprise data.

Our mission is unchanged: make data available and actionable to everyone, everywhere. That everyone now includes AI agents.

The Role: You'll be the infrastructure and reliability engineer on the Data Replication team - a full-stack product team running over 3 million sync jobs a week powering thousands of data use cases across multiple regions and clouds. You’ll build and maintain the infrastructure, set reliability standards, drive down incidents, and make it easier and safer for engineers to ship through tooling. You're equally comfortable in a Terraform file, a Kubernetes cluster, and a postmortem doc.

We expect engineers here to actively use AI as a force multiplier - agentic tools to automate toil, augment incident response, and build smarter internal tooling. If you're not already doing this, you should be excited to start. We care as much about how you work as what you build. Trust, directness, and craftsmanship matter here.

What You’ll Do:

- Own the infrastructure underpinning the Data Replication platform - Kubernetes clusters, CI/CD pipelines, secrets management, networking, and cloud resource configuration across AWS and GCP.
- Partner with product engineers to reliably integrate product features with infrastructure.
- Maintain and enhance observability, alerting, and anomaly detection with an eye towards LLM automation.
- Maintain and enhance AI-augmented release and internal tooling: canary deployments, progressive rollouts, automated release qualification, and rollback automation - with an eye towards LLM automation.
- Set the infrastructure bar for the team - build self-serve tooling, write runbooks, and coach engineers to own more of their stack.

What You’ll Need:

- 7+ years in infrastructure, platform engineering, SRE, or DevOps.
- Hands-on ownership of Kubernetes, Helm, and Terraform in production environments.
- Deep experience with observability stacks (Prometheus, Grafana, Datadog) and on-call operations.
- Experience with CI/CD pipeline ownership and developer tooling.
- Ability & willingness to read backend code to understand how systems break and instrument them correctly.
- Fluency with AI tools - LLMs and agentic frameworks to automate, debug faster, and reduce toil.
- A startup-ready mindset: comfortable with ambiguity, moving fast, and owning problems end-to-end.

Nice To Have:

- Data pipelines, replication systems, or ETL/ELT platforms.
- Control plane / data plane architectures or internal developer platforms.
- Experience with Airbyte, CDKs, or connector-based architectures.

Location:

- Onsite 4 days/week in San Francisco, CA

Why You'll Love Working at Airbyte: At Airbyte, we believe great work happens when people feel supported, trusted, and empowered to grow. Our market-leading Total Rewards package is designed to help you thrive professionally and personally. Our benefits and perks include:

- Flexible PTO with a culture that encourages at least 25 days off annually
- 16 weeks fully paid parental leave for all parents
- Comprehensive medical, dental, and vision coverage for employees and dependents
- 401(k) retirement plan
- Professional development budget, conference sponsorship, and book reimbursement
- Commuter benefits and monthly internet reimbursement
- Breakfast and lunch in our San Francisco office
- A collaborative, in-person culture focused on learning, growth, and impact

If you find this role exciting, we encourage you to apply even if you think you don’t meet all of the requirements!

We are not accepting agency submissions or recruiting firm support for this role. Unsolicited resumes will not be considered.

Airbyte is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, creed, color, religion, national origin, ancestry, age, physical or mental disability, pregnancy, genetic information, sex, sexual orientation, gender identity or expression, marital status, familial status, domestic violence victim status, veteran or military status, or any other legally recognized protected basis under federal, state or local laws. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Airbyte is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. Please let us know if you need assistance or accommodations due to a disability.

## About Airbyte

## Company Overview
- **One-liner**: Airbyte provides the context layer for production-grade AI agents, enabling them to reason across live enterprise data through a unified, queryable Context Store.
- **Entity Type**: Private (Series B; Total Funding: $181.3M)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2020
- **Founders**: Michel Tricot (CEO), Jean Lafleur (COO)

## Core Business
- **Primary industry**: Data Integration & AI Context Infrastructure (Software Development)
- **Target customers**: B2B; serving data teams, AI/ML engineers, and enterprise organizations (25,000+ companies, including 20% of the Fortune 500).
- **Mission statement**: “Make data available and actionable to everyone, everywhere.”

## Products & Services
- **Airbyte Cloud**: Fully managed, cloud-hosted ELT platform that syncs data from 600+ connectors to data warehouses, lakes, and other destinations.
- **Airbyte Enterprise (Self-Managed)**: Deploy Airbyte within the customer’s own cloud environment (VPC) for maximum security and compliance.
- **Airbyte Agents (Context Layer)**: A new product providing a queryable Context Store that gives AI agents unified, permission-aware access to operational data across CRM, billing, support, product, and internal systems—without stitching APIs at runtime.
- **Connector Builder & PyAirbyte**: Tools and SDKs for building custom connectors quickly, including an open-source library (PyAirbyte) for Python-based data pipeline orchestration.

## Market Standing
- **Valuation**: Not publicly disclosed (raised $181.3M from top-tier investors).
- **Key Metric**: Total Funding of $181.3M.
- **Notable Investors**: Benchmark (led Series A), Accel, Altimeter Capital, Coatue Management, Y Combinator.
- **Growth Signals**:
    - Platform scaled to handle billions of records daily.
    - Open-source community: 1,300+ contributors, 20,000+ GitHub stars.
    - Customers include Rakuten, 1Password, Nebius; 20% of the Fortune 500 uses Airbyte.
    - Pivot into AI agent context infrastructure positions the company at the forefront of a major market shift.

## Competitive Advantages
- **Massive connector footprint**: 600+ pre-built connectors (and growing), covering the long tail of data sources that no single vendor can support.
- **Hybrid architecture**: Combines large-scale replication (for cross-system search and discovery) with real-time fetching (for fresh operational state)—purpose-built for production AI agents.
- **Open-source core**: Community-powered connector maintenance and innovation; reduces vendor lock-in and ensures transparency.
- **Top-tier investor backing**: Access to capital and strategic guidance from Benchmark, Accel, Coatue, and others.

## Strategic Focus
- **Pivot to AI**: Expanding from a pure data replication platform to “context infrastructure” for AI agents. The mission is now to serve agents as primary consumers of enterprise data, not just analysts and dashboards.
- **Product development**: Heavy investment in Airbyte Agents and the context layer, with plans to make the platform faster, more reliable, and more deeply integrated into AI workflows.
- **Enterprise adoption**: Scaling sales and go-to-market engine to capture the enterprise market (Jean Lafleur, COO, leads this effort).
- **Open-source sustainability**: Maintaining a vibrant contributor community while building a commercial product that sits on top.

## Why Work Here
- **Culture**: Named one of Built In’s Best Startup Places to Work. Emphasis on “experimentation, adaptation, and a relentless drive to deliver impactful solutions.” Employee-led Diversity Network Groups (Women at Airbyte, Airbyte Pride, LatinX & AAPI).
- **Working model**: In-office collaboration in San Francisco (FiDi) four days a week. The company believes in the value of in-person work for culture, collaboration, and innovation.
- **Engineering culture**: Open by default; heavy contributor community; engineering-led product (45% of staff in technical roles). Opportunities to work on cutting-edge problems at the intersection of data and AI.
- **Benefits**:
    - Comprehensive health, dental, and vision coverage (employer-sponsored).
    - 16 weeks fully paid parental leave (all genders/paths to parenthood).
    - Unlimited vacation policy (encouraged minimum of 25 days off per year, including holidays).
    - 401(k) retirement plan for U.S. employees.
    - Pre-tax commuter FSA with company contribution (SF HQ).
    - Professional development: book reimbursements, conference sponsorships, internal growth culture.
- **Team**: ~100 employees (slight contraction over the past year). Leadership team is strong: Michel Tricot (CEO, ex-LiveRamp), Jean Lafleur (COO, serial entrepreneur), Davin Chia (CTO). Senior talent sourced from LiveRamp, Datadog, Grafana, Splunk, Elastic, New Relic.

## Sources
1. [airbyte.com](https://airbyte.com/)
2. [airbyte.com/company/about-us](https://airbyte.com/company/about-us)
3. [airbyte.com/company/careers](https://airbyte.com/company/careers)
4. [linkedin.com/company/airbytehq](https://br.linkedin.com/company/airbytehq)
5. [craft.co/airbyte](https://craft.co/airbyte)

## Other roles at Airbyte

- [Senior Solutions Architect](https://feeny.ai/job/senior-solutions-architect-airbyte-new-york-tzxgyp5tj80n) — New York, NY
- [Accounting Manager](https://feeny.ai/job/accounting-manager-airbyte-san-francisco-czwcf4xqsawz) — San Francisco, CA
- [Enterprise Account Executive](https://feeny.ai/job/enterprise-account-executive-airbyte-canada-n5m2b1nqjg02) — Canada
- [Senior Recruiter (Contract)](https://feeny.ai/job/senior-recruiter-contract-airbyte-united-states-ss9a5n2n608w) — United States
- [AI Platform Engineer](https://feeny.ai/job/ai-platform-engineer-airbyte-san-francisco-rkcjgemmf3zg) — San Francisco, CA
- [Enterprise Account Executive](https://feeny.ai/job/enterprise-account-executive-airbyte-united-states-cj1csptr7pp0) — United States
- [Engineering Manager, Platform](https://feeny.ai/job/engineering-manager-platform-airbyte-san-francisco-n0nez0ykcnk1) — San Francisco, CA
- [Senior Software Engineer, Platform Fullstack](https://feeny.ai/job/senior-software-engineer-platform-fullstack-airbyte-san-francisco-zgyy19ywevqd) — San Francisco, CA
- [Customer Support Developer (Databases)](https://feeny.ai/job/customer-support-developer-databases-airbyte-canada-2txjyrfwaytp) — Canada
- [Customer Support Developer (Databases)](https://feeny.ai/job/customer-support-developer-databases-airbyte-united-states-gx0g6haf6zj2) — United States