Lead Software Engineer, Content Ingestion

Responsibilities

• Design, build, and evolve high-throughput data pipelines that ingest and transform large volumes of unstructured content into structured and enriched datasets
• Drive technical direction and architectural decisions across ingestion systems, ensuring scalability, reliability, and long-term maintainability
• 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-functionally with Product, Data Science, Search, and Platform teams to deliver high-quality data that powers customer-facing features
• Mentor and support engineers through code reviews, technical guidance, and knowledge sharing, raising the overall engineering bar
• Identify and lead high-impact technical initiatives, balancing speed of delivery with system stability and long-term health
• To be set up for success in this role, you'll need to have:
• 8+ years of professional experience as a software engineer
• Experience designing, building, and operating distributed systems, data pipelines, or event-driven architectures at scale
• Strong proficiency in Python or a similar backend programming language
• Experience building and maintaining microservices that are reliable, observable, and scalable
• 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
• Expertise with relational or search databases such as MySQL, Postgres, Elasticsearch, or OpenSearch
• Experience making technical tradeoffs in distributed systems related to performance, reliability, and maintainability
• If any of the below also describe you, this could be an exciting opportunity:
• Experience designing or optimizing 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 on systems that process multi-terabyte datasets or high-volume event streams
• Interest in journalism, media, or the technology that supports those industries
• In addition, we're always looking for candidates who:
• Communicate complex technical ideas clearly to both technical and non-technical audiences
• Take ownership of their work and proactively identify and solve problems
• Contribute to a collaborative and supportive engineering culture through thoughtful feedback and mentorship
• Write clean, maintainable, and well-tested code that scales over time
• Balance pragmatism with long-term thinking when making technical decisions
• Continuously learn and adapt in a fast-evolving technical environment
• Proactively incorporates AI tools into day-to-day work to improve productivity and accelerate delivery
• Interview Overview
• Here's what you can expect from our process. We'll keep you informed at every step and let you know if anything changes along the way.
• Intro call with a member of our Talent Team
• A video interview with the Hiring Manager
• Peer interviews, including a 1 hour peer code interview
• Final conversation(s) with member(s) of our executive team
• Location Preferences
• We are currently prioritizing candidates based in Bulgaria. Qualified candidates located in the United Kingdom and Ireland are also

Benefits

Additional Information

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 Lead Software Engineer to join our growing Content Ingestion team. As our Lead 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.

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