Senior Software Engineer, Platform

AirbyteAirbyte·Remote(San Francisco)
Software Development

WFA Digital Insight

The demand for skilled software engineers in data integration is surging, with the global data integration market expected to reach

2.8 billion by 2027. Airbyte, a leader in open-source data movement, is at the forefront of this trend. With its strong focus on product-led growth and AI-powered innovations, this role offers a unique opportunity for engineers to work on cutting-edge technologies. As the remote job market continues to evolve, candidates with expertise in cloud data replication, AI tooling, and distributed systems are in high demand. Before applying, candidates should be prepared to showcase their technical skills, adaptability, and experience in building scalable systems.

Job Description

About the Role

The Senior Software Engineer, Platform role at Airbyte is a key position that focuses on developing and improving the company's data replication and job lifecycle systems. As a member of the Data Replication team, you will be responsible for designing, building, and maintaining the Control and Data Plane systems that handle configuration, job lifecycle, and load scaling. The team is responsible for running over 3 million sync jobs a week across multiple regions and clouds, making scalability and reliability crucial.

The ideal candidate will have a strong background in software engineering, with expertise in JVM/Kotlin and hands-on experience building and operating large-scale distributed systems. Familiarity with orchestration frameworks, such as Temporal-style workflows, and experience running services using Kubernetes with Helm on major cloud providers are also essential.

Airbyte is committed to product-led growth, and the company's mission is to make data available and actionable, everywhere. As a Senior Software Engineer, you will be working closely with cross-functional teams to build innovative solutions that meet the needs of Airbyte's customers.

What You Will Do

  • Improve and scale cloud data replication and job lifecycle systems to support the growth of Airbyte Cloud
  • Automate platform operations across OSS, Enterprise, and Cloud, including deployment validation, release qualification, and environment testing
  • Build high-leverage internal tooling to help the team ship connector and CDK changes faster
  • Develop AI-powered tooling for connector generation and incident response
  • Improve observability and debugging tools for both Airbyte engineers and customers
  • Collaborate with platform and cloud infrastructure teams on cross-cutting technical decisions
  • Mentor engineers through design reviews, pairing, and technical feedback
  • Contribute to the development of Airbyte's data infrastructure, including the design and implementation of new features and functionality
  • Participate in on-call rotations and be responsible for resolving technical issues and incidents

What We Are Looking For

  • 7+ years of engineering experience in backend, platform, or distributed systems with strong proficiency in JVM/Kotlin
  • Hands-on experience building and operating large-scale distributed systems
  • Familiarity with orchestration frameworks, such as Temporal-style workflows
  • Experience running services using Kubernetes with Helm on major cloud providers
  • Systems-level thinking with an emphasis on performance, reliability, cost, and scalability
  • Comfortable with ambiguity, moving fast, and owning problems end-to-end
  • Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams
  • Experience with open-source platforms, especially in data integration or infrastructure tooling
  • Familiarity with Airbyte, CDKs, or connector-based architectures

Nice to Have

  • Experience with open-source platforms, especially in data integration or infrastructure tooling
  • Familiarity with Airbyte, CDKs, or connector-based architectures
  • Background in control plane / data plane architectures or internal developer platforms
  • Experience with AI/agent tooling frameworks, such as LangChain or Pydantic AI

Benefits and Perks

  • Competitive salary and equity package
  • Opportunity to work on cutting-edge technologies and contribute to the development of Airbyte's data infrastructure
  • Collaborative and dynamic work environment with a team of experienced engineers
  • Flexible working hours and remote work options
  • Professional development opportunities, including training and conference attendance
  • Access to the latest tools and technologies, including AI-powered tooling and cloud infrastructure
  • Health, dental, and vision insurance, as well as retirement savings plans
  • Generous parental leave policy and family-friendly benefits

How to Stand Out

  • Be prepared to showcase your technical skills and experience in building scalable systems, with a focus on cloud data replication and AI-powered tooling.
  • Highlight your ability to work effectively in a distributed team environment and collaborate with cross-functional teams.
  • Familiarize yourself with Airbyte's products and services, including its data integration platform and connector-based architectures.
  • Develop a strong understanding of the company's mission and values, and be prepared to discuss how your skills and experience align with these.
  • Be prepared to discuss your experience with AI/agent tooling frameworks and how you can apply these to the role.
  • Showcase your problem-solving skills and ability to think creatively, with a focus on finding innovative solutions to complex technical problems.
  • Be prepared to discuss your experience with open-source platforms and how you can contribute to the development of Airbyte's data infrastructure.

This is a remote position listed on WFA Digital, the platform for professionals who work from anywhere. Browse more remote jobs across all categories.