Software Engineer, Ingestion Platform at Reddit

Confirmed open

Software Engineer, Ingestion Platform opportunity with Reddit. See the official posting for responsibilities and application details.

Reddit

Location: Remote
Work arrangement: remote
Technologies: Python, Java, Kubernetes, Go

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Role overview

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com .

The Data Platform team is looking to hire a Software Engineer who is excited to solve large scale data platform and efficiency challenges.

Reddit’s mission is to bring community and belonging to everyone in the world. Reddit is a community of communities where people can dive into anything through experiences built around their interests, hobbies, and passions. With more than 50 million people visiting 100,000+ communities daily, it is home to the most open and authentic conversations on the internet. From pets to parenting, skincare to stocks, there’s a community for everybody on Reddit. For more information, visit redditinc.com.

Our community of users generates over 100B events per day, each of which is ingested into a data warehouse that sees 55,000+ daily queries. We utilize this data to enable both batch and streaming based ML and BI workloads at the company. Critical teams such as ads, feed generation, and ML experimentation rely on the Data Platform to generate revenue for Reddit. The Ingestion Platform team within this group is specifically responsible for empowering the business to more efficiently process data and orchestrate these data workloads.

As a software engineer, you will work with teammates and partner teams to create and improve scalable, fault tolerant, self-serve systems.

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.

Contribute to 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.

Qualifications

Our community of users generates over 100B events per day, each of which is ingested into a data warehouse that sees 55,000+ daily queries. We utilize this data to enable both batch and streaming based ML and BI workloads at the company. Critical teams such as ads, feed generation, and ML experimentation rely on the Data Platform to generate revenue for Reddit. The Ingestion Platform team within this group is specifically responsible for empowering the business to more efficiently process data and orchestrate these data workloads.
As a software engineer, you will work with teammates and partner teams to create and improve scalable, fault tolerant, self-serve systems.
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.
Contribute to 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.
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.
Work collaboratively with engineers and stakeholders across Infrastructure, Data Platform, Product, Ads, ML, Storage, and partner teams to align roadmaps and deliver durable solutions.
Proficient in object-oriented programming languages like Python, Scala, Go, or Java.
Demonstrated expertise in designing and implementing large-scale systems, diligently monitoring project progress, and showcasing proactive leadership as a self-starter on diverse projects.
Excellent communication skills tailored for effective collaboration within both a service-oriented team and the broader organizational context.
The base salary range for this position is:
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 .
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit 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.

Technology in this role

Python: Proficient in object-oriented programming languages like Python, Scala, Go, or .
Java: Proficient in object-oriented programming languages like Python, Scala, Go, or .
Kubernetes: Establish strong reliability, security, and operational practices for pipelines running across Kubernetes clusters, including schema evolution, workload identity, permissions, deployment safety, monitoring, and incident .
Go: Proficient in object-oriented programming languages like Python, Scala, Go, or .
Scala: Proficient in object-oriented programming languages like Python, Scala, Go, or .
Kafka: 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 .
Spark: • Experience working with cloud services, Airflow, Kubernetes, CI/CD, Spark, Flink and/or working with modern cloud-based .
Airflow: • Experience working with cloud services, Airflow, Kubernetes, CI/CD, Spark, Flink and/or working with modern cloud-based .
CI/CD: • Experience working with cloud services, Airflow, Kubernetes, CI/CD, Spark, Flink and/or working with modern cloud-based .
CAN: Reddit is a community of communities where people can dive into anything through experiences built around their interests, hobbies, and .
BigQuery: 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 .

Benefits

Comprehensive Healthcare Benefits and Income Replacement Programs
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Mental Health & Coaching Benefits
Flexible Vacation & Paid Volunteer Time Off
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, Reddit 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 https://www.redditinc.com/careers/ .
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:
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 .
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit 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.

About Reddit

The Deployment Infrastructure team is hiring a Senior Full Stack Software Engineer to lead the design, development, and evolution of the web UI for our build and deployment platform. In this role, you’ll craft a cohesive, intuitive user experience that enables engineers across Reddit to build, test, and ship software safely and confidently to a globally distributed cloud ecosystem.

Our team owns continuous integration, continuous deployment, and the underlying systems that power build and deployment workflows. We’re looking for an engineer who operates at the intersection of frontend engineering, distributed systems and infrastructure, and developer experience.

In your day-to-day, you can expect to:

Design, build, and ship high-quality features across the stack, with a focus on creating reusable, maintainable UI components and polished frontends that scale with the platform

Contribute to backend systems to deliver cohesive, end-to-end product experiences

Define and enforce clean API boundaries between frontend and backend systems

Employer website

How to apply

Review the original posting and apply through the employer’s careers page.

View source and apply

Source checked: 2026-10-13

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