Airbyte

Senior Software Engineer, Integrations (Databases)

San Francisco · Senior

Sponsorship not specifiedDetected 22 days ago

JavaKotlinDistributed SystemsGitSQLPostgreSQLMySQLMongoDBBigQueryDatabricksCI/CDGitHub ActionsData EngineeringLLMsAgentic AICommunication

About the role

As a Senior Software Engineer on this team, you'll sit at the intersection of databases, distributed systems, AI, and developer productivity.
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.

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.
Drive step-function improvements in engineering velocity through automation and reusable tooling.
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.
7+ years of software engineering experience building production systems.
You'll help build both the connectors themselves and the intelligent systems that create, maintain, and operate them.

Strong experience with relational databases such as PostgreSQL, MySQL, SQL Server, Oracle, MongoDB, Bigquery, Databricks, S3 or similar.
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.
Proficiency in Java, Kotlin (or another JVM language) and comfort working across multiple programming languages.
Strong debugging skills with the ability to investigate complex production issues.
Ability to influence technical direction across teams without formal authority.

Experience with Change Data Capture (CDC).
Familiarity with GitHub Actions or large-scale CI/CD automation.
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.
Breakfast and lunch in our San Francisco office
If you find this role exciting, we encourage you to apply even if you think you don't meet all of the requirements!
Unsolicited resumes will not be considered.

generating code, managing dependency updates, diagnosing production issues, proposing fixes, and continuously improving reliability.

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
A collaborative, in-person culture focused on learning, growth, and impact
Build infrastructure that manages dependency updates, compatibility testing, release automation, and connector health.

This listing is sourced directly from Airbyte's careers page and normalized into a canonical job model.