Airbyte
Senior Site Reliability Engineer
Part remote, part office, you need to live within commuting distance of a named location.
Hybrid · San Francisco
Employer listed it 4 weeks ago · Added 4 days ago
Been open since 4 weeks ago, still checked daily, but it has been live a while.
Salary
$196,000–$235,000
Location
Hybrid · San Francisco
Timezone
Not stated
Contract
Full-time
Experience
Senior
Category
Software
Published by the employer
Remote flexibility
Hybrid
This role is only partly remote, the employer expects time in the office around San Francisco, Hybrid, so you need to live within commuting distance.
What the employer says
- Source listing states candidate location: "San Francisco, Hybrid"
- Listing mentions "Hybrid"
What Nomaders makes of it
- Not suitable if you plan to move between countries
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
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.
Requirements
The employer hasn't listed requirements separately, they're described in the role summary above and on the original listing.
Benefits
- ·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.
How to apply
- 1Check the flexibility label above, hybrid, matches where you plan to live and work.
- 2Tailor your CV to the role at Airbyte, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 5d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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