Senior Software Engineer, Integrations (Databases) - Hiring Sprint

Airbyte•San Francisco, CA

1d•$196,000 - $255,000•Onsite

About The Position

At Airbyte, we're building the future of integration engineering. Our team owns the platform that powers hundreds of database and application connectors. We are building an AI-powered Integration Factory that automates the lifecycle of our connectors: generating code, managing dependency updates, diagnosing production issues, proposing fixes, and continuously improving reliability. As a Senior Software Engineer on this team, you'll sit at the intersection of databases, distributed systems, AI, and developer productivity. You'll help build both the connectors themselves and the intelligent systems that create, maintain, and operate them. This is a role for engineers who love databases, enjoy building high-leverage tooling, and are excited to partner with AI rather than compete with it. You'll spend as much time improving the engineering system as you do improving the software it produces. You'll also participate in our on-call rotation, helping investigate production issues and evolving the automation that prevents similar incidents from happening again.

Requirements

7+ years of software engineering experience building production systems.
Strong experience with relational databases such as PostgreSQL, MySQL, SQL Server, Oracle, MongoDB, Bigquery, Databricks, S3 or similar.
Deep understanding of SQL, query optimization, and database internals.
Demonstrated experience with AI-assisted software development, including using LLMs in the engineering workflow, and creation of AI system components such as embeddings, skills, tools, evals, etc.
Experience building or operating distributed systems in production.
Proficiency in Java, Kotlin (or another JVM language) and comfort working across multiple programming languages.
Experience building developer tooling, automation, CI/CD pipelines, or platform infrastructure.
Strong debugging skills with the ability to investigate complex production issues.
Curiosity about building systems that automate engineering work rather than simply performing it manually.
Excellent written communication and documentation skills.
Ability to influence technical direction across teams without formal authority.
Willingness to participate in an on-call rotation.

Nice To Haves

Experience with Change Data Capture (CDC).
Familiarity with GitHub Actions or large-scale CI/CD automation.
Experience building AI agents, LLM workflows, or prompt engineering systems.
Knowledge of data integration, ETL/ELT, or data movement platforms.
Experience maintaining open source projects or developer platforms.
Contributions to reusable internal tooling or engineering productivity initiatives.

Responsibilities

Build and evolve Airbyte's AI-powered Integration Factory.
Design intelligent systems that generate, validate, repair, and maintain connectors automatically.
Develop shared tooling, frameworks, GitHub Actions, scheduled workflows, and internal developer platforms used across hundreds of integrations.
Build highly reliable database connectors with deep support for database-specific capabilities including Change Data Capture (CDC), replication logs, query optimization, and schema evolution.
Improve connector reliability by building systems that automatically detect, diagnose, and remediate production issues.
Build infrastructure that manages dependency updates, compatibility testing, release automation, and connector health.
Contribute to Airbyte's growing AI Skills repository and help establish patterns for AI-assisted software development.
Drive step-function improvements in engineering velocity through automation and reusable tooling.
Participate in an on-call rotation, responding to production issues while continually improving the systems that reduce operational burden.
Collaborate across engineering to improve internal developer experience and platform capabilities.
Mentor engineers and raise the engineering bar through thoughtful design reviews, documentation, and technical leadership.