# Lukas Tarasevicius > Senior Software Engineer | Data Infrastructure & Distributed Systems Location: Palos Park, Illinois, United States Profile: https://flows.cv/lukastarasevicius Senior Software Engineer focused on building and operating large-scale data and platform infrastructure. Experienced in distributed systems, data pipelines, and cloud environments, with an emphasis on reliability, performance, and cost efficiency. ## Work Experience ### Senior Software Engineer (L5) @ Cruise Jan 2024 – Present Senior Software Engineer working on large-scale backend and ML data infrastructure. Focused on system design, reliability, performance, and cloud cost optimization. Own critical components end-to-end and contribute to architectural decisions across teams. ### Senior Software Engineer (L4) @ Cruise Jan 2022 – Present Worked on machine learning data infrastructure, including data streaming systems and multi-petabyte data lake management and tooling. ### Technical Lead, Data Platform @ Cameo Jan 2022 – Jan 2022 | Los Angeles Metropolitan Area - Led the data platform team responsible for building and operating an in-house event pipeline supporting product analytics and downstream consumers. - Owned the technical direction and architecture for event ingestion, processing, and storage across Kafka-based systems. - Partnered with product and engineering teams to define event contracts and ensure reliable, scalable data flows. - Built and maintained data tooling and pipelines leveraging Kafka and Snowflake to support analytics and business reporting. - Drove improvements in reliability, observability, and developer workflows across the data platform ### Senior Software Engineer @ Cameo Jan 2019 – Jan 2022 - Designed and built core components of Cameo’s data platform, supporting real-time and batch data use cases. - Implemented event-driven pipelines using Kafka to ingest and process high-volume application data. - Deployed and operated services on Kubernetes, contributing to platform reliability and scalability. - Improved CI/CD workflows using Jenkins to streamline deployments and reduce operational friction. - Collaborated cross-functionally to evolve the data architecture as product requirements scaled. ### Software Engineer @ Pareto Intelligence Jan 2018 – Jan 2019 - Built data-intensive applications and pipelines using Python, Scala, Spark, and Akka. - Implemented streaming and batch data processing workflows using Kafka and Spark. - Contributed to distributed systems handling large-scale data processing and analytics workloads. - Worked closely with stakeholders to translate data requirements into scalable technical solutions. ### Software Engineer @ SAP Jan 2016 – Jan 2018 | Greater Chicago Area - Developed and maintained enterprise-grade Java applications used by internal and external customers. - Designed and implemented backend services with a focus on correctness, performance, and maintainability. - Collaborated within large engineering teams to deliver features in complex, regulated environments. - Gained experience working within mature enterprise software development processes. ### Client Services Engineer @ Synthesis Technology Jan 2015 – Jan 2016 | Chicago, IL - Built SQL-based data pipelines and reporting solutions to support client analytics needs. - Worked directly with clients to gather requirements and translate them into technical implementations. - Supported data ingestion, transformation, and validation workflows across multiple client systems. - Developed a strong foundation in data modeling, analytics, and customer-facing engineering work. ## Education ### Master of Science (M.S.) in Management Information Systems University of Illinois Chicago Jan 2016 – Jan 2017 ### Bachelor of Science (B.S.) in Information and Decision Sciences University of Illinois Chicago Jan 2013 – Jan 2015 ### Moraine Valley Community College Jan 2011 – Jan 2013 ## Contact & Social - LinkedIn: https://linkedin.com/in/tarasevicius --- Source: https://flows.cv/lukastarasevicius JSON Resume: https://flows.cv/lukastarasevicius/resume.json Last updated: 2026-03-22