Airbyte

Senior Software Engineer, Integrations (Databases)- Hiring Sprint

Rol remoto de Engineering con fit claro de ubicación del candidato.

Publicado29 jun 2026

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Señal de senioritySenior

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Actualidad de la fuente29 jun 2026

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Match de stackCI/CD, Java

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Aplicando aSenior Software Engineer, Integrations (Databases)- Hiring SprintAirbyte

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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.

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.

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.