Lead Software Engineer, Content Ingestion at Muck Rack

, , Bulgaria -

Full Time

Start Date

Immediate

Expiry Date

31 Jul, 26

Salary

34000.0

Posted On

02 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Distributed systems, Data pipelines, Microservices, Kafka, Kinesis, gRPC, Protocol Buffers, MySQL, Postgres, Elasticsearch, OpenSearch, ETL/ELT, System architecture, Observability, Mentorship

Industry

Software Development

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 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. What You’ll do: 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 encouraged to apply. Travel & Team Engagement Expectations This role requires up to 10% travel for team collaboration, customer engagements, and company events. As part of our commitment to building strong connections across our fully distributed team, attendance at our annual company offsite (typically held in Mexico) is expected. Salary The anticipated salary range for this role in Bulgaria is €28,000 – 34,000+ annually, depending on experience. Individual compensation decisions are based on a number of factors, including experience level, skillset, and balancing internal equity relative to peers at the company. We expect the majority of the candidates who are offered roles at our company to fall healthily throughout the range based on these factors. We recognize that the person we hire may be less experienced (or more senior) than this job description as posted. If that ends up being the case, the updated salary range will be communicated with you as a candidate. Why Muck Rack? Remote Work, Forever Fully distributed team with a permanent remote setup Home office stipend, phone and internet reimbursement, coworking membership Virtual and in-person team bonding (lunches, events, competitions) Transparent & Fair Compensation Competitive geo-neutral pay in the U.S. Annual reviews to ensure equity and market alignment Standardized bonus or commission structure 401(k) with employer contributions Equity opportunities Health & Wellness Comprehensive medical, dental, vision, disability, and life insurance for employees and dependents 100% premium coverage for individuals on high-deductible plans 24/7 Virtual Care and Employee Assistance Program Employer-funded HSA contributions and other pre-tax benefits Quarterly wellness stipend and free Headspace subscription Time Off & Family Benefits 4+ weeks of PTO, plus paid sick and mental health days 13 paid holidays with the option to swap for personal days Up to 16 weeks of fully paid parental leave Learning and Development Transparent pathways for internal mobility and promotion Bi-annual performance reviews, team workshops, and leadership training Unlimited access to Coursera and O’Reilly 2 additional PTO days annually for learning and development Inclusive, Customer-First Culture Commitment to equity and valuing diverse perspectives Agile, founder-led company focused on collaboration and innovation Trusted by 3,000+ companies worldwide Note: Benefits and compensation reflect offerings for U.S.-based employees. Support is provided for employees in other locations, in compliance with local laws and regulations. While we are a fully distributed team, we do have limitations on where we can hire and maintain a list of acceptable working locations based on job function. If we are unable to hire in your current location for the role for which you applied, you will be notified via email. While we enjoy many benefits as a permanently distributed and remote company, we cannot always support relocation or extended travel and have guidelines in place to ensure compliant work away from your designated permanent residence. #LI-Remote Please note: For detailed information regarding our GDPR and/or CCPA compliance policies, including how we handle personal data and privacy rights, kindly refer to the email correspondence accompanying this application. Muck Rack does not accept unsolicited resumes from search firms or any other third parties. Any unsolicited resume sent to Muck Rack will be considered Muck Rack property, and Muck Rack will not pay a fee should it hire the subject of any unsolicited resume. Muck Rack considers applicants for all positions on the basis of merit, qualifications, and business needs, and without regard to race, color, national origin, religion, sex, age, disability, sexual orientation, gender identity, alienage or citizenship status, ancestry, marital status, genetic predisposition or carrier status, veteran status, familial status, status as a victim of domestic violence, or any other status or characteristic protected by applicable federal, state, or local law. Note to applicants/job seekers: We have recently been made aware of scams impersonating Muck Rack’s HR team. Please be cautious of these attempts to elicit banking or other financial or sensitive information. Muck Rack will never request financial information during the interview process, and follow ups for interviews or next steps will always come from an ‘@muckrack.com’ email address. If you are contacted by anyone from a different domain who claims to be from Muck Rack, please forward the communication to legal@muckrack.com.

Responsibilities

Design and evolve high-throughput data pipelines to ingest and transform unstructured content into structured datasets. Collaborate with cross-functional teams to ensure system scalability, reliability, and maintainability while mentoring engineering staff.