Senior Software Engineer, Platform - Hiring Sprint

Airbyte·Remote(San Francisco)

Software Development

WFA Digital Insight

As remote work becomes the norm, companies like Airbyte are leading the charge in innovating data infrastructure for AI agents. With over

81M in funding, Airbyte is revolutionizing the way data is accessed and utilized. Demand for skilled engineers with distributed systems experience grew 27% in 2025, and this role offers a unique opportunity to join a cutting-edge team. Candidates should be prepared to showcase their problem-solving skills, systems-level thinking, and experience with cloud data replication. With the rise of AI, professionals with expertise in building scalable and reliable systems are in high demand, making this an exciting time to join the industry.

Job Description

About the Role

The Senior Software Engineer position at Airbyte is a unique opportunity to join a team of innovators building the data infrastructure for AI agents. As a key member of the Data Replication team, you will be responsible for developing and scaling cloud data replication and job lifecycle systems. With a focus on configuration, job lifecycle, and load scaling, you will work on building high-leverage internal tooling to help the team ship connector and CDK changes faster. The ideal candidate will have experience with distributed systems, orchestration frameworks, and Kubernetes, as well as a strong proficiency in JVM/Kotlin.

About Airbyte

Airbyte is a fast-growing company that has raised

81M in funding from leading investors. With a mission to make data available and actionable to everyone, everywhere, Airbyte is revolutionizing the way data is accessed and utilized. As a Senior Software Engineer at Airbyte, you will be part of a team that is passionate about building scalable and reliable systems that can handle large amounts of data.

What You Will Do

Improve and scale cloud data replication and job lifecycle systems as Airbyte Cloud grows
Automate platform operations across OSS, Enterprise, and Cloud: deployment validation, release qualification, environment testing
Build high-leverage internal tooling that helps 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 across platform and cloud infrastructure on cross-cutting technical decisions
Mentor engineers through design reviews, pairing and technical feedback
Participate in the engineering hiring sprint, helping to identify and recruit top talent
Contribute to the development of Airbyte's open-source platform

What We Are Looking For

7+ years of engineering experience (backend, platform, or distributed systems) with strong proficiency in JVM/Kotlin
Hands-on experience building/operating large scale distributed systems
Familiarity with orchestration frameworks (e.g. Temporal-style workflows)
Experience running services using Kubernetes using 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 understanding of computer science fundamentals, including data structures and algorithms
Excellent problem-solving skills and attention to detail

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 systems
Experience with AI-powered tooling and automation

Benefits and Perks

Competitive salary and equity package
Comprehensive health insurance and benefits
Generous PTO and remote work stipend
Opportunities for professional growth and development
Collaborative and dynamic work environment
Access to cutting-edge technologies and tools
Flexible working hours and remote work options

How to Stand Out

Make sure to showcase your experience with distributed systems and cloud data replication in your resume and cover letter.
Be prepared to answer technical questions about JVM/Kotlin, Kubernetes, and orchestration frameworks during the interview process.
Highlight your problem-solving skills and attention to detail, as these are key requirements for the role.
Research Airbyte's open-source platform and be prepared to discuss your experience with similar technologies.
Don't be afraid to ask questions during the interview process, especially about the company culture and team dynamics.
Be prepared to provide examples of your experience with AI-powered tooling and automation.
Showcase your ability to work in a fast-paced environment and prioritize tasks effectively.

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