Senior Software Engineer, Content Ingestion

Senior Software Engineer, Content Ingestion

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Muck Rack

At a Glance

  • Tasks: Design and build data pipelines to transform unstructured content into structured data.
  • Company: Join Muck Rack, a leading SaaS platform for PR professionals with an award-winning culture.
  • Benefits: Enjoy competitive salary, remote work options, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on mentorship and continuous learning.
  • Why this job: Make a real impact in the PR industry using cutting-edge technology and innovative solutions.
  • Qualifications: 5-8 years of software engineering experience, strong Python skills, and knowledge of data systems.

The predicted salary is between 60000 - 80000 £ per year.

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.

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-functionally with Product, Data Science, Search, and Platform teams to deliver high-quality data that powers customer-facing features.
  • 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.

To Be Set Up for Success in This Role, You’ll Need to Have

  • ~5–8 years of professional experience as a software engineer.
  • Experience designing, building, and operating distributed systems, data pipelines, or event-driven architectures.
  • Strong 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.

If Any of the Below Also Describe You, This Could Be an Exciting Opportunity

  • 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.

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.
  • 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 prioritising candidates based in Bulgaria. Qualified candidates located in the United Kingdom and Ireland are also encouraged to apply.

Senior Software Engineer, Content Ingestion employer: Muck Rack

Muck Rack is an exceptional employer that champions a fully distributed work culture, allowing for flexibility and collaboration across borders. With a strong emphasis on resilience, transparency, and ownership, employees are empowered to take charge of their projects while benefiting from continuous learning and mentorship opportunities. Located in Bulgaria, the company offers a unique chance to work with cutting-edge technology in a supportive environment that values innovation and personal growth.

Muck Rack

Contact Details:

Muck Rack Recruitment Team

We think you need these skills to ace Senior Software Engineer, Content Ingestion

Python
Distributed Systems
Data Pipelines
Event-Driven Architectures
Kafka
Kinesis
APIs