Marcin Jedyk
Platform Engineer Lead @Algbra
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WORK HISTORY
Platform Engineer Lead @Algbra
London, GB
Leading, design and implementing cloud infrastructure for Algbra- Responsible for designing and building cloud platform to run complex microservices financial system- Built multi-account (AWS) and multi-cluster (Kubernetes) infrastructure- Introduced metrics, logging and tracing systems- Designed and delivered automated build and deployment processes- Designed and built comprehensive monitoring and fault detection systems- Designed on-call procedures and processes- Conducted “blameless post-mortems” for infrastructure incidents- Bootstrapped data platform capabilities- Designed and built Data Lake with Apache Druid and Kafka Connectors- Created BI capabilities with Apache Superset- Hired additional engineers to support platform and data engineering functions- Overviewed infrastructure growth to handle high volume of financial transactions- Monitored cloud spending costs and optimised resource usage to reduce spending- Implemented security enhancements across supply chain, runtime and platform
EDUCATION
Wrocław University of Science and Technology
MSc/Magister inż., Software Engineering
Orta Doğu Teknik Üniversitesi / Middle East Technical University
MSc, Computer Engineering
SKILLS
ABOUT MARCIN JEDYK
I am a senior software and platform engineer with deep hands-on experience designing, building, and operating full production systems over multiple years, including iterating on early design decisions and owning their long-term consequences. My background spans infrastructure, backend application code, data pipelines, and observability, with a strong focus on reliability, performance, and developer productivity.For more than three years at an early-stage fintech startup, I worked on a single product end-to-end: from initial platform and data architecture, through repeated production iterations, to scaling systems under real user and business constraints. My work regularly involved moving between infrastructure, application code, and data systems, making trade-offs based on user impact, operational cost, and system behavior in production.I enjoy fast-paced environments where engineers ship frequently, own what they build, and continuously refine systems based on real-world usage rather than abstract design.
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