Marco Eggersmann

A distributed transaction service for Ethereum-based blockchains that was scalable, maintainable, and secure. I designed and developed the AWS Lambda-based serverless architecture, including IaC deployment using AWS CDK. Furthermore, I set up a suite of integration tests capable of running in different configurations for that service.

This is a fully serverless and scalable data processing pipeline using FaaS solutions and a microservice architecture with distributed transactions that I developed. The project used serverless actors with Event Sourcing to create a resilient system in the AWS Cloud. Technologies used include AWS Step Functions, Lambda, EventBridge, SQS, and DynamoDB.

I developed and maintained a general-purpose AWS Lambda runtime for GraalVM. The runtime can be used from any JVM programming language, including Java and Kotlin. Using this runtime, the client could integrate GraalVM images into AWS Lambda and reduce Lambda cold start time by 300% and average execution time by 50%.

Set up a cloud-based CI/CD system with enforced code quality, automated dependency version management, and automated pipelines for infrastructure-as-code changes. Technologies included Kotlin, GitHub, SonarCloud, AWS CodePipeline, AWS CloudFormation, Terraform, AWS CodeCommit, AWS CodeBuild, Docker, Maven, and Slack.

Put together a suite of integration tests for vendor-agnostic and multi-cloud web services with support for a range of HTTP servers and database systems. Technologies included Kotlin, AWS Lambda, Amazon SQS, AWS Kinesis, AWS API Gateway, DynamoDB, Azure Functions, Apache Spark, Jetty, Tomcat, Wildfly, JBoss, and Payara.

I developed an artifact storage system similar to Nexus and Artifactory. The artifact storage system was a lightweight alternative to traditional systems and deployable to the AWS Cloud. Technologies included Kotlin, Neo4j, MongoDB, PostgreSQL, and Spring Boot.

I designed and executed the implementation and maintenance of an on-site virtual server farm using infrastructure-as-code CI/CD, including automated testing and monitoring systems. Technologies included Kubernetes, DNS, Jenkins, Bitbucket, Confluence, Jira, logging infrastructure, and Bash.

• Implemented robust CI/CD pipelines in Jenkins for a high-performance Java-based distributed system deployed on OpenShift containers.
• Successfully devised and implemented Jenkins jobs to execute complex Maven builds, resulting in the generation of container images uploaded to JFrog Artifactory.
• Conducted debugging and maintenance tasks for container images within the dynamic environment of OpenShift (3 and 4), as well as EKS (Kubernetes), ensuring optimal performance and stability.
• Mentored and trained junior team members, enabling them to resolve Maven lifecycle issues and other technical challenges independently.

• Spearheaded the development and architecture of a robust Spring Boot application deployed on the AWS cloud within an ECS cluster, effectively leveraging Serverless orchestration workflows.
• Collaborated closely with domain experts in the automotive industry to successfully implement a sophisticated data transformation system encompassing dedicated knowledge transfer sessions.
• Formulated deployment strategies for a highly regulated cloud environment, prioritizing stringent security measures to ensure protection.
• Provided invaluable guidance to clients in making critical technology choices about the AWS cloud, enabling them to make informed decisions and optimize their operations.