Muck Rack
SaaS, public relations, communications
SeniorSoftwareEngineer,ContentIngestion
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Software Engineer, Content Ingestion at Muck Rack. Skills: High-throughput data pipelines, Distributed systems, Event-driven architectures, Python, Streaming technologies, APIs, Large-scale data systems. Design, build, and maintain high-throughput data pipelines that ingest and transform large volumes of unstructured content into structured and enriched datasets. Contribute to the design and evolution of ingestion systems, improving scalability, reliability, and maintainability over time”
What You'll Achieve.
Build scalable, reliable data pipelines that power core platform experiences; Deliver high-quality data that powers customer-facing features; Improve data quality, correctness, and enrichment workflows
Industry & Context.
Proactively identify and solve problems
Up to 10% travel for team collaboration, customer engagements, and company events, Attendance at annual company offsite (typically held in Mexico) is expected
What They're Looking For.
Must Have
~5–8 years of professional experience as a software engineer, Experience designing, building, and operating distributed systems, data pipelines, or event-driven architectures, proficiency in Python or a similar backend programming language, Experience building and maintaining reliable, observable, and scalable services or microservices, Experience working with streaming technologies such as Kafka, Kinesis, or similar systems, Experience with APIs and service communication patterns such as gRPC and Protocol Buffers, Experience working with large-scale data systems or high-throughput SaaS platforms, Familiarity with relational or search databases such as MySQL, Postgres, Elasticsearch, or OpenSearch, Ability to make thoughtful technical tradeoffs related to performance, reliability, and maintainability
Nice to Have
Experience working on content ingestion, ETL/ELT, or data enrichment pipelines, Experience improving throughput, reliability, and observability in large-scale data systems, Experience with background job processing frameworks and asynchronous workflows, Experience working with high-volume event streams or large datasets, Interest in journalism, media, or the technology that supports those industries
What You'll Do.
and maintain high-throughput data pipelines that ingest and transform large volumes of unstructured content into structured and enriched datasets
Contribute to the design and evolution of ingestion systems
improving scalability
and maintainability over time
and enrichment workflows to support downstream systems such as Search and Data Science
Build and operate distributed
event-driven systems and streaming pipelines with observability and fault tolerance
Take ownership of projects end-to-end
balancing speed of delivery with system reliability and long-term maintainability
Support and mentor teammates through code reviews
technical discussions
and knowledge sharing
Proactively incorporates AI tools into day-to-day work to improve productivity and accelerate delivery
How You'll Work.
Team & Collaboration
Collaborate closely with teammates across Product, Search, Data Science, and Platform to build scalable, reliable data pipelines; Partner cross-functionally with Product, Data Science, Search, and Platform teams to deliver high-quality data that powers customer-facing features; Support and mentor teammates through code reviews, technical discussions, and knowledge sharing; Contribute to a collaborative and supportive engineering culture through thoughtful feedback
Communication Scope
Communicate complex technical ideas clearly to both technical and non-technical audiences
Process & Methodology
Take ownership of projects end-to-end, Balancing speed of delivery with system reliability and long-term maintainability
Full Job Description
Muck Rack is the leading SaaS platform for public relations and communications professionals. Our mission is to enable organizations to build trust, tell their stories, and demonstrate the unique value of earned media. Muck Rack’s AI-powered, comprehensive, and integrated platform streamlines the PR workflow to help businesses generate positive media coverage, monitor mentions to manage brand reputation, and analyze PR’s impact on business outcomes. By combining media database, monitoring, and reporting into one dynamic platform, we empower teams to collaborate seamlessly, pitch effectively, and analyze results faster and more efficiently. Founder-controlled, fully distributed, and growing sustainably, Muck Rack has received several awards for its unparalleled culture and product from organizations like Inc., Quartz, G2, and BuiltIn. We value resilience, transparency, ownership, and customer devotion, and infuse these values into everything we do. We’re looking for a collaborative, self-motivated Senior Software Engineer to join our growing Content Ingestion team. As a Senior Software Engineer, you’ll help design and evolve the systems that ingest, process, and transform large volumes of unstructured content into structured, high-quality data. You’ll collaborate closely with teammates across Product, Search, Data Science, and Platform to build scalable, reliable data pipelines that power core platform experiences. What You’ll Do Design, build, and maintain high-throughput data pipelines that ingest and transform large volumes of unstructured content into structured and enriched datasets Contribute to the design and evolution of ingestion systems, improving scalability, reliability, and maintainability over time Improve data quality, correctness, and enrichment workflows to support downstream systems such as Search and Data Science Build and operate distributed, event-driven systems and streaming pipelines with strong observability and fault tolerance Partner cross-f
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