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Erik MulderEM

Erik Mulder

Staff Software Engineer | Java | Python | Cloud

€667/day
Utrecht, NL
15+ years

Average response time: 1 hour

About Erik

Staff level software engineer with extensive experience architecting and delivering highly scalable, resilient and performant service platforms using modern cloud technologies. Brings rapid value across the entire product lifecycle: from ideation and design through implementation, delivery, and deployment. Consistently produces top-quality outcomes by applying advanced skills, strong engineering principles, and rigorous attention to detail, including proactive quality assurance through peer reviews.

Passionate about backend architecture and platform engineering, with a focus on building systems at the right level of abstraction to maximize adoption and efficiency across an organization. Proven track record of designing two internal platforms that grew from single-team solutions into widely used, multi-team foundations.

Combines deep technical expertise with strong product and business awareness. Continuously evaluates the underlying goals and assumptions of a project to ensure alignment with the optimal path forward, offering well-reasoned alternatives when beneficial.
  • English

    Native or bilingual

  • Dutch

    Native or bilingual

  • German

    Conversational

Can work on-site
Utrecht (up to 50km)

Experience

  • Bytecraft Digital
    Founder and owner
    October 2025 - Today (9 months)
    Founded company Bytecraft Digital. Main services: consultancy, software engineering, technical reviews, training, assessments. Also working on AI based product development.
    Java Python Cloud Engineer artificial intelligence Kotlin
  • Canva
    Staff Backend Engineer
    February 2023 - December 2024 (1 year and 10 months)
    Canva is the world’s leading online design platform with 100M+ monthly active users. Canva is heavily investing in AI technology and one of those teams owns the Magic Media app. Joined as backend engineer to help build a robust and extensible connection between the machine learning models and the user interface. Helping the team realize their vision of becoming the internal platform for all media generation activities. Also expanding beyond the team, helping to build future proof backend systems and architecture. Was lead backend engineer in the platform integration with Leonardo.ai after acquisition.

    Achieved: Running a stable platform with 10M+ daily generations, AWS backend migration with a 40% cost reduction, implemented monetisation features, successful launch of Leonardo.ai integration
    Java Amazon Web Services Spring DynamoDB Python
  • Bol.com
    Lead Engineer Data Science - Forecasting
    August 2018 - October 2022 (4 years and 2 months)
    Bol.com is the biggest web shop of The Netherlands and Belgium with over 12 million customers. Worked together with the data scientists, running many machine learning models in the cloud production environment. Initiated, designed and built a reliable, performant and easy to use forecasting platform called Delphi. It dynamically generates pipelines for forecasts and their experiments, based on meta data from a database, editable in a UI. Delphi enables a data scientist to go from a forecasting idea to production in 1 day.

    Achieved: Delphi is used and loved by all bol.com forecasters and is currently expanded to other parts of the organization.
    Python Kotlin Google cloud Kubernetes BigQuery

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Education

  • Bachelor of Science
    Utrecht University
    2010
    Artificial Intelligence
  • Bachelor of Engineering
    Saxion University of Applied Science
    2004
    Software Engineering

Skill set

Categories