Resumo da vaga

Senior Software Engineer, Integrations (Databases)- Hiring Sprint

Requisitos e responsabilidades

Conteúdo da vaga extraído em seções para revisão mais rápida.

Engineering Hiring Sprint:

  • ⚙️ Platform Engineers
  • 🗄️ Database Engineers
  • ☁️ Site Reliability Engineers
  • 🔌 Extensibility API Engineers
  • 🤖 AI Agents Engineers
  • 👤 Engineering Managers

What You’ll Do:

  • 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.

What You’ll Need:

  • 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 Have:

  • 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.

Location:

  • Onsite 4 days/week in San Francisco, CA

Why You'll Love Working at Airbyte:

  • 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
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