Mechanical Licensing Collective Logo

Mechanical Licensing Collective

Sr. Software Engineer - Matching

Reposted Yesterday
Be an Early Applicant
In-Office or Remote
2 Locations
Senior level
In-Office or Remote
2 Locations
Senior level
Lead the Data Platform team and manage projects while ensuring high performance and stability of data platforms. Collaborate with leaders to enhance systems, fostering a strong Agile culture within the team.
The summary above was generated by AI

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

Airflow
AWS
Dagster
Prefect
Terraform

Similar Jobs

7 Hours Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
206K-271K
Senior level
206K-271K
Senior level
Artificial Intelligence • Information Technology • Machine Learning • Natural Language Processing • Productivity • Software • Generative AI
Lead the Value Management program to deliver measurable outcomes for customers, enhancing communication and driving enterprise growth through strategic value initiatives.
Top Skills: AIAutomationB2B SaasData-Driven Tools
7 Hours Ago
Remote or Hybrid
USA
Mid level
Mid level
Artificial Intelligence • Cloud • Mobile • Security • Software
The Cloud Platform Senior Software Engineer develops and maintains Hiya's production cloud platform, enabling scalable services for mobile applications and carrier-grade services.
Top Skills: AWSAws Cloud Development KitAws CloudformationAzureGoGCPKafkaKubernetesLinuxPythonRustScalaTerraform
7 Hours Ago
Remote or Hybrid
USA
Senior level
Senior level
Artificial Intelligence • Cloud • Mobile • Security • Software
The Senior Software Engineer will evolve the architecture of Hiya's SaaS platform, collaborating on backend services, database design, and integrating AI models.
Top Skills: DockerDocusaurusGCPGithub ActionsKubernetesOpenapiPostgresPythonRustSveltekitTypescript

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account