Staff Software Engineer - Ingestion Platform

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Who We Are

The Infrastructure organization enables the company to deliver reliability, performance, and efficiency with a single opinionated technology stack. The Ingestion Platform team within Infrastructure builds a low-code interface for moving data from supported sources to supported sinks, making it easier for teams across the company to create reliable, scalable data pipelines without building and operating bespoke infrastructure.  Our platform supports streaming and batch data movement from Kafka to destinations such as BigQuery and object storage, and is expanding toward S3/GCS, Apache Iceberg, transformations, deduplication, and additional sinks. We work closely with Data Pipelines, Data Movement, Ads Data Platform, ML Indexing, Flink Platform, Storage, and other partner teams to improve developer velocity, reliability, observability, and operational efficiency.

We are looking to hire a Staff Software Engineer to help shape and scale this platform. This is a high-impact role where your technical judgment, customer empathy, and operational mindset will influence the future direction of data movement at the company.

What You’ll Do

As a Staff Engineer, you will lead the development and evolution of the company’s Ingestion Platform.

• Design, write, and deliver reliable software for distributed data movement across streaming and batch workloads, with a focus on availability, scalability, latency, correctness, and cost efficiency.

• Own the architecture and evolution of the platform’s control plane and data plane, including pipeline APIs, controllers, connectors, target managers, schemas, and sink integrations.

• Expand the platform beyond Kafka-to-BigQuery by helping deliver production-ready paths to S3/GCS and Apache Iceberg, as well as transformations, deduplication, dead-letter queues, and other reusable capabilities.

• Build high-quality connectors and abstractions for systems such as Kafka, BigQuery, S3, GCS, Iceberg, Flink, and other data stores, while keeping the platform modular and easy to extend.

• Improve the self-service experience for platform users through clear APIs, safe defaults, automated provisioning, documentation, onboarding workflows, and actionable observability and alerting.

• Lead migrations from bespoke and legacy ingestion systems to the Ingestion Platform, partnering with teams such as Ads Data Platform and ML Indexing to make migrations safe, incremental, and low-touch.

• Establish strong reliability, security, and operational practices for pipelines running across Kubernetes clusters, including schema evolution, workload identity, permissions, deployment safety, monitoring, and incident response.

• Identify gaps in the platform’s architecture and product experience, and lead redesigns that improve developer velocity and enable the company’s continued growth.

• Work collaboratively with engineers and stakeholders across Infrastructure, Data Platform, Product, Ads, ML, Storage, and partner teams to align roadmaps and deliver durable solutions.

• Mentor and guide backend and data infrastructure engineers across the company, raising the bar for technical design, operational excellence, and customer focus.

Who You Might Be

• 10+ years of hands-on experience building internet-scale distributed systems, data infrastructure, or platforms used by other developers.

• BS, MS, PhD in Computer Science, a related field, or equivalent practical experience.

• Strong software development experience in one or more general-purpose languages such as Go, Python, Java, or Scala.

• Deep experience designing and operating high-throughput, fault-tolerant data pipelines or platform services, including streaming and batch processing.

• Experience with data movement patterns and systems such as Kafka, BigQuery, S3, GCS, Apache Iceberg, Flink, or comparable technologies.

• Experience designing APIs and platform abstractions, including schema evolution, serialization formats such as Protocol Buffers, and service-to-service communication such as gRPC.

• Familiarity with Kubernetes and cloud-native platform concepts, including controllers, custom resources, workload identity, infrastructure automation, and multi-cluster deployments.

• A strong understanding of observability and operational excellence: metrics, logging, alerting, SLOs, incident response, data quality, and safe migration practices.

• A product-minded engineer who advocates for platform users and can turn ambiguous customer and partner needs into simple, reliable, and scalable solutions.

• Demonstrated technical leadership and a history of guiding teams through complex, cross-functional initiatives with meaningful impact.

• Exceptional written and verbal communication skills, with the ability to collaborate effectively across engineering teams and stakeholders.

• Experience building low-code or self-service developer platforms, or curiosity to learn, is a strong plus.

Benefits

• Comprehensive Healthcare Benefits and Income Replacement Programs

• 401k with Employer Match

• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support

• Family Planning Support

• Gender-Affirming Care

• Mental Health & Coaching Benefits

• Flexible Vacation & Paid Volunteer Time Off

• Generous Paid Parental Leave

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Pay Transparency

This job posting may span more than one career level.

In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, the company offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit [link for members] .

To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.

The base salary range for this position is

$217,000 — $303,900 USD

In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.

During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors .

The company is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  The company is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.