Mechanical Licensing Collective
Sr. Software Engineer - Matching
Are you interested in joining a purpose-driven company in the music industry? Do you thrive in a collaborative, hybrid work environment? If you do, we would like to get to know you.
WORKING AT THE MLC
The MLC is committed to excellence, service and transparency. Our culture is collaborative, and our team works in a hybrid environment. On our team, you are respected, valued for your unique strengths and experiences, and empowered to identify and resolve your own challenges.
THE ROLE
As a Senior Software Engineer, you will design, implement, and maintain the workflows and systems that operationalize our machine learning models. You will focus on building scalable data pipelines, orchestration workflows, APIs, and infrastructure to support the matching process at scale. Your work will be essential to ensuring the reliability, performance, and maintainability of the Matching Platform. The Matching Platform is a critical tool that enables The MLC to drive accurate royalty payments to our Members.
QUALIFICATIONS
- Minimum five (5) years’ experience as a Software Engineer, working on data-intensive systems and Big Data platforms.
- Strong expertise in building scalable data pipelines, REST APIs, CI/CD pipelines, and workflow orchestration with tools like Dagster.
- Experience working with multiple programming languages, including Python, Java, and Node.js.
- Experience with relational databases, large datastores, and document/non-relational databases.
- Proven hands-on experience with AWS cloud services; familiarity with Terraform or other infrastructure-as-code tools is a plus.
- Excellent collaboration and communication skills, with the ability to clearly present technical findings to both technical and non-technical audiences.
ESSENTIAL RESPONSIBILITIES
AS A TEAM MANAGER YOU WILL:
- Design, build, and maintain workflows that support machine learning model deployment and operation.
- Implement scalable, reliable data pipelines and REST APIs to support the Matching Platform’s functionality.
- Collaborate with data scientists to ensure seamless integration between models and production systems.
- Develop and maintain CI/CD pipelines and ensure best practices in code quality, testing, and deployment.
- Work closely with data platform engineers to support system architecture, monitoring, and performance optimization.
AS A TECHNICAL LEAD YOU WILL
- Work in an Agile environment and participate actively in team ceremonies and collaborative planning.
- Foster constructive dialogue and seek resolution when confronted with technical challenges.
- Uphold high standards of software and model development best practices.
- Embrace a data-driven, collaborative, and continuous improvement mindset.
- Training others with best practices, process designs/changes.
- Documenting best practices, process flows and policies as required.
YOU WILL CHAMPION THE MLC’S CULTURE BY:
- Embracing The MLC’s leadership values and applying The MLC’s Guiding Principles to your team’s work
- Being process-oriented, data-driven, and tech-savvy; being collaborative, curious, and open to new ideas
- Building a dynamic team; mentoring team members; developing future leaders
- Inspiring others with your enthusiasm and humility
THE MLC IS AN EQUAL OPPORTUNITY EMPLOYER THE MLC DOES NOT MAKE EMPLOYMENT DECISIONS BASED ON RACE, COLOR, RELIGION OR RELIGIOUS BELIEF, ETHNIC OR NATIONAL ORIGIN, SEX, GENDER, GENDER-IDENTITY, SEXUAL ORIENTATION, MARITAL STATUS, CITIZENSHIP STATUS, DISABILITY, AGE, MILITARY OR VETERAN STATUS, OR ANY OTHER CATEGORY PROTECTED BY LOCAL, STATE, OR FEDERAL LAW. THIS POLICY APPLIES TO ALL TERMS AND CONDITIONS OF EMPLOYMENT, INCLUDING RECRUITING, HIRING, PLACEMENT, PROMOTION, TERMINATION, LAYOFF, TRANSFER, LEAVES OF ABSENCE, AND COMPENSATION.
Top Skills
Similar Jobs
What you need to know about the Seattle Tech Scene
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
