{"schemaVersion":"jobsearcher.job.v1","id":"61bb39d66abcbf0bcbe2df3a","url":"https://jobsearcher.com/jobs/61bb39d66abcbf0bcbe2df3a","canonicalUrl":"https://jobsearcher.com/jobs/61bb39d66abcbf0bcbe2df3a","title":"Remote Customer Support Developer","description":"Airbyte is the open-source standard for data movement. We've enabled data teams to move data from applications, APIs, unstructured sources and databases to data warehouses, lakes, and AI applications. With tens of thousands of connectors built and hundreds of thousands of companies adopting Airbyte, we've proven the economics of data integration at scale. And now Airbyte is building the frontier agentic data infrastructure, purpose-built for AI agents that need fast, accurate access to data across hundreds of sources. Our mission: make data available and actionable, everywhere.\r\nWe've raised $181M from the world's top investors (Benchmark, Accel, Altimeter, Coatue, Y Combinator, etc.) and we believe in product-led growth, where we build something awesome that all our users love. We've raised enough capital to explore boldly, but we still choose to move quickly, stay scrappy, and experiment constantly as we find the right paths in an AI-native landscape.\r\nThe Role: Are you the kind of developer who gets a rush from cracking a gnarly replication bug, an issue with CDC implementation, or a query that hangs with no obvious reason? Do you thrive at the intersection of writing code and helping customers succeed? As a Customer Support Developer (Databases) at Airbyte, you'll combine hands-on development skills with deep technical empathy to support our growing cloud, embedded, and open-source integration platform.\r\nThis isn't a traditional support role. You'll be writing Java and Kotlin, shipping contributions to our open-source database source and destination connectors, digging into query plans and transaction logs, and directly shaping how customers move mission-critical data between databases, warehouses, and lakes. You'll champion the customer voice alongside our engineering and product teams every day, getting your hands dirty in the code.\r\nWhat You'll Do: Customer Support & Technical Troubleshooting\r\nServe as the primary technical escalation point for database-related customer issues, responding via email, ticketing systems, and video calls with precision and clarity.\r\nTriage and prioritize incoming issues with urgency, consistently meeting SLA targets while leveraging AI tools to work smarter and resolve issues faster.\r\nDig into complex issues across relational databases, data warehouses, data lakes, and cloud object storage, not just finding workarounds but partnering with Engineering to root-cause and drive real fixes.\r\nReproduce customer-reported bugs by inspecting connector logs, query plans, replication slots, transaction logs, sync state, and destination table state, and document findings with enough technical detail for Engineering to act on immediately.\r\nSupport customers through onboarding and troubleshooting for SSH tunnels, network configuration, database user permissions, CDC setup (WAL/binlog/redo logs), and warehouse/lake authentication.\r\nDatabase Connector Development\r\nGet hands-on with customers building and debugging integrations, helping them navigate Airbyte's database sources and destinations with confidence, from authentication and SSL/SSH setup to CDC, schema evolution, incremental cursors, and typed destination tables.\r\nValidate database version compatibility across supported engines and releases, maintain testing environments, and reproduce customer-reported behavior on real database and warehouse instances.\r\nSupport customers writing to data warehouses (Snowflake, BigQuery, Redshift), data lakes and object storage (S3, GCS, Azure Blob, Databricks, Iceberg), and databases (Postgres, MySQL, MSSQL, ClickHouse), including schema evolution and typed-columns behavior.\r\nHelp customers running database sources (PostgreSQL, MySQL, MSSQL, Oracle, MongoDB, and more) troubleshoot replication behavior, cursor selection, full-refresh vs. incremental vs. CDC trade-offs, and sync state recovery.\r\nContribute directly to Airbyte's open-source database connectors and the Java/Kotlin Bulk CDK: fix bugs, improve error handling, harden schema-evolution and CDC paths, and submit pull requests to the Airbyte repository.\r\nReview and test community contributions to database sources and destinations, helping external contributors land high-quality changes.\r\nStay sharp on Airbyte's connector catalog, new database and destination releases, and platform updates so your guidance is always accurate and timely.\r\nCross-Functional Collaboration & Enablement\r\nBe the voice of the customer within Airbyte, working closely with Engineering and Product to surface issues, advocate for feature requests, and ensure customer pain points actually influence the database reliability and performance roadmap.\r\nPartner with Solutions Engineering and Sales Engineering to provide white-glove technical onboarding for enterprise customers, including CDC architecture reviews, destination schema modeling, and production readiness assessments.\r\nTrain and mentor Technical Support Engineers on database connector concepts, including JDBC fundamentals, CDC patterns, schema evolution, query optimization, destination typing and normalization, and the Airbyte protocol (spec, discover, check, read, write).\r\nPartner with Sales and Customer Success for technical conversations, onboarding, and expansion efforts, bringing the kind of product depth that helps close and retain customers.\r\nKnowledge, Process Improvement, & AI\r\nCreate and maintain internal and external knowledge base articles, troubleshooting guides, and database connector documentation to support scalability.\r\nDocument research and troubleshooting processes,( including CDC debugging, destination schema reconciliation, and performance tuning runbooks), to aid faster ticket resolution and team knowledge sharing.\r\nIdentify AI-driven opportunities for automation and process improvements that reduce support load and improve the customer experience.\r\nEmbrace AI-assisted workflows and contribute to developing playbooks and skills that encode repeatable troubleshooting procedures, connector debugging patterns, and onboarding Runbooks, enabling the team to scale expertise through automation.\r\nSpearhead initiatives to fill organizational or support gaps and take ownership of unique projects.\r\nWhat You'll Need: 2+ years in software engineering, data engineering, technical support, DevOps, QA, or a similar role supporting developers or technical users.\r\nFluency in SQL, with hands-on experience investigating query plans, isolation levels, and performance bottlenecks.\r\nProficiency in Java or Kotlin. You must be able to read, write, and debug JVM-based connector code. You'll be contributing to database sources and destinations, the Bulk CDK, and automation tooling.\r\nHands-on experience with relational databases, data warehouses, or data lakes, including concepts like CDC (Change Data Capture), schema evolution, and query optimization.\r\nExperience with JDBC and common database drivers, and comfort debugging connection, authentication, SSL, and SSH tunnel issues.\r\nUnderstanding of cloud platforms (AWS, GCP, or Azure) and data integration concepts, including ELT/ETL workflows.\r\nStrong troubleshooting instincts, clear communication with both technical and non-technical stakeholders, and a growth mindset that keeps you improving even when things get hard.\r\nHigh tolerance for ambiguity and a natural self-starter.\r\nFlexibility to work Sun–Thu, Mon–Fri, or Tue–Sat shifts.\r\nNice To Have: Experience with PostgreSQL, MySQL, MSSQL, Oracle, MongoDB, Snowflake, BigQuery, Redshift, ClickHouse, or similar relational and non-relational systems.\r\nExperience with data lakes and open table formats (Iceberg, Delta Lake), and cloud object storage (S3, GCS, Azure Blob).\r\nFamiliarity with Airbyte's Bulk CDK or contributions to open-source database connectors.\r\nExperience with container orchestration tools like Kubernetes or Docker and multi-tenant architectures.\r\nBackground supporting developer-facing or embedded/platform products in a B2B SaaS context.\r\nExperience with CI/CD pipelines and GitHub-based open-source workflows.\r\nExperience with AI-assisted development tools and building automated playbooks or Runbooks.\r\nLocation: Remote in U.S. timezones - Pacific, Mountain, Central\r\nIf you find this role exciting, we encourage you to apply even if you think you don't meet all of the requirements!\r\nAirbyte is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, creed, color, religion, national origin, ancestry, age, physical or mental disability, pregnancy, genetic information, sex, sexual orientation, gender identity or expression, marital status, familial status, domestic violence victim status, veteran or military status, or any other legally recognized protected basis under federal, state or local laws. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.\r\nAirbyte is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. Please let us know if you need assistance or accommodations due to a disability.","company":"GrabJobs","rawCompany":"grabjobs","city":"Corona","state":"CA","isRemote":true,"isActive":false,"createdAt":"2026-09-07T12:55:48.461Z","occupations":[{"code":"43-4051.00","title":"Customer Service Representatives","slug":"customer-service-representatives"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1232.00","title":"Computer User Support Specialists","slug":"computer-user-support-specialists"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Remote Customer Support Developer","description":"Airbyte is the open-source standard for data movement. We've enabled data teams to move data from applications, APIs, unstructured sources and databases to data warehouses, lakes, and AI applications. With tens of thousands of connectors built and hundreds of thousands of companies adopting Airbyte, we've proven the economics of data integration at scale. And now Airbyte is building the frontier agentic data infrastructure, purpose-built for AI agents that need fast, accurate access to data across hundreds of sources. Our mission: make data available and actionable, everywhere.\r\nWe've raised $181M from the world's top investors (Benchmark, Accel, Altimeter, Coatue, Y Combinator, etc.) and we believe in product-led growth, where we build something awesome that all our users love. We've raised enough capital to explore boldly, but we still choose to move quickly, stay scrappy, and experiment constantly as we find the right paths in an AI-native landscape.\r\nThe Role: Are you the kind of developer who gets a rush from cracking a gnarly replication bug, an issue with CDC implementation, or a query that hangs with no obvious reason? Do you thrive at the intersection of writing code and helping customers succeed? As a Customer Support Developer (Databases) at Airbyte, you'll combine hands-on development skills with deep technical empathy to support our growing cloud, embedded, and open-source integration platform.\r\nThis isn't a traditional support role. You'll be writing Java and Kotlin, shipping contributions to our open-source database source and destination connectors, digging into query plans and transaction logs, and directly shaping how customers move mission-critical data between databases, warehouses, and lakes. You'll champion the customer voice alongside our engineering and product teams every day, getting your hands dirty in the code.\r\nWhat You'll Do: Customer Support & Technical Troubleshooting\r\nServe as the primary technical escalation point for database-related customer issues, responding via email, ticketing systems, and video calls with precision and clarity.\r\nTriage and prioritize incoming issues with urgency, consistently meeting SLA targets while leveraging AI tools to work smarter and resolve issues faster.\r\nDig into complex issues across relational databases, data warehouses, data lakes, and cloud object storage, not just finding workarounds but partnering with Engineering to root-cause and drive real fixes.\r\nReproduce customer-reported bugs by inspecting connector logs, query plans, replication slots, transaction logs, sync state, and destination table state, and document findings with enough technical detail for Engineering to act on immediately.\r\nSupport customers through onboarding and troubleshooting for SSH tunnels, network configuration, database user permissions, CDC setup (WAL/binlog/redo logs), and warehouse/lake authentication.\r\nDatabase Connector Development\r\nGet hands-on with customers building and debugging integrations, helping them navigate Airbyte's database sources and destinations with confidence, from authentication and SSL/SSH setup to CDC, schema evolution, incremental cursors, and typed destination tables.\r\nValidate database version compatibility across supported engines and releases, maintain testing environments, and reproduce customer-reported behavior on real database and warehouse instances.\r\nSupport customers writing to data warehouses (Snowflake, BigQuery, Redshift), data lakes and object storage (S3, GCS, Azure Blob, Databricks, Iceberg), and databases (Postgres, MySQL, MSSQL, ClickHouse), including schema evolution and typed-columns behavior.\r\nHelp customers running database sources (PostgreSQL, MySQL, MSSQL, Oracle, MongoDB, and more) troubleshoot replication behavior, cursor selection, full-refresh vs. incremental vs. CDC trade-offs, and sync state recovery.\r\nContribute directly to Airbyte's open-source database connectors and the Java/Kotlin Bulk CDK: fix bugs, improve error handling, harden schema-evolution and CDC paths, and submit pull requests to the Airbyte repository.\r\nReview and test community contributions to database sources and destinations, helping external contributors land high-quality changes.\r\nStay sharp on Airbyte's connector catalog, new database and destination releases, and platform updates so your guidance is always accurate and timely.\r\nCross-Functional Collaboration & Enablement\r\nBe the voice of the customer within Airbyte, working closely with Engineering and Product to surface issues, advocate for feature requests, and ensure customer pain points actually influence the database reliability and performance roadmap.\r\nPartner with Solutions Engineering and Sales Engineering to provide white-glove technical onboarding for enterprise customers, including CDC architecture reviews, destination schema modeling, and production readiness assessments.\r\nTrain and mentor Technical Support Engineers on database connector concepts, including JDBC fundamentals, CDC patterns, schema evolution, query optimization, destination typing and normalization, and the Airbyte protocol (spec, discover, check, read, write).\r\nPartner with Sales and Customer Success for technical conversations, onboarding, and expansion efforts, bringing the kind of product depth that helps close and retain customers.\r\nKnowledge, Process Improvement, & AI\r\nCreate and maintain internal and external knowledge base articles, troubleshooting guides, and database connector documentation to support scalability.\r\nDocument research and troubleshooting processes,( including CDC debugging, destination schema reconciliation, and performance tuning runbooks), to aid faster ticket resolution and team knowledge sharing.\r\nIdentify AI-driven opportunities for automation and process improvements that reduce support load and improve the customer experience.\r\nEmbrace AI-assisted workflows and contribute to developing playbooks and skills that encode repeatable troubleshooting procedures, connector debugging patterns, and onboarding Runbooks, enabling the team to scale expertise through automation.\r\nSpearhead initiatives to fill organizational or support gaps and take ownership of unique projects.\r\nWhat You'll Need: 2+ years in software engineering, data engineering, technical support, DevOps, QA, or a similar role supporting developers or technical users.\r\nFluency in SQL, with hands-on experience investigating query plans, isolation levels, and performance bottlenecks.\r\nProficiency in Java or Kotlin. You must be able to read, write, and debug JVM-based connector code. You'll be contributing to database sources and destinations, the Bulk CDK, and automation tooling.\r\nHands-on experience with relational databases, data warehouses, or data lakes, including concepts like CDC (Change Data Capture), schema evolution, and query optimization.\r\nExperience with JDBC and common database drivers, and comfort debugging connection, authentication, SSL, and SSH tunnel issues.\r\nUnderstanding of cloud platforms (AWS, GCP, or Azure) and data integration concepts, including ELT/ETL workflows.\r\nStrong troubleshooting instincts, clear communication with both technical and non-technical stakeholders, and a growth mindset that keeps you improving even when things get hard.\r\nHigh tolerance for ambiguity and a natural self-starter.\r\nFlexibility to work Sun–Thu, Mon–Fri, or Tue–Sat shifts.\r\nNice To Have: Experience with PostgreSQL, MySQL, MSSQL, Oracle, MongoDB, Snowflake, BigQuery, Redshift, ClickHouse, or similar relational and non-relational systems.\r\nExperience with data lakes and open table formats (Iceberg, Delta Lake), and cloud object storage (S3, GCS, Azure Blob).\r\nFamiliarity with Airbyte's Bulk CDK or contributions to open-source database connectors.\r\nExperience with container orchestration tools like Kubernetes or Docker and multi-tenant architectures.\r\nBackground supporting developer-facing or embedded/platform products in a B2B SaaS context.\r\nExperience with CI/CD pipelines and GitHub-based open-source workflows.\r\nExperience with AI-assisted development tools and building automated playbooks or Runbooks.\r\nLocation: Remote in U.S. timezones - Pacific, Mountain, Central\r\nIf you find this role exciting, we encourage you to apply even if you think you don't meet all of the requirements!\r\nAirbyte is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, creed, color, religion, national origin, ancestry, age, physical or mental disability, pregnancy, genetic information, sex, sexual orientation, gender identity or expression, marital status, familial status, domestic violence victim status, veteran or military status, or any other legally recognized protected basis under federal, state or local laws. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.\r\nAirbyte is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. Please let us know if you need assistance or accommodations due to a disability.","datePosted":"2026-09-07T12:55:48.461Z","dateModified":"2026-09-07T12:55:48.461Z","hiringOrganization":{"@type":"Organization","name":"GrabJobs","sameAs":"https://jobsearcher.com"},"jobLocationType":"TELECOMMUTE","applicantLocationRequirements":{"@type":"Country","name":"US"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Corona","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"61bb39d66abcbf0bcbe2df3a"},"url":"https://jobsearcher.com/jobs/61bb39d66abcbf0bcbe2df3a"}}