Open to opportunities

Matcha TS

@matchats

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Senior software engineer building secure, event-driven backend systems and AI-powered SaaS in regulated industries.

Switzerland

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What I'm looking for

I’m looking for a team where I can build secure, GDPR-compliant distributed backend systems and ship AI features with guardrails—using event-driven architecture, AWS/Kubernetes, and strong observability for regulated domains.

I’m a Senior Software Engineer and SaaS founder with 7+ years of experience architecting scalable distributed backend systems, with a strong focus on banking, fintech, healthcare, and transportation technology.

I specialize in Java/Kotlin with Spring Boot and event-driven architecture—designing RESTful APIs, integrating AI using RAG and structured outputs, and deploying production-grade services with Kubernetes and AWS.

In recent roles, I’ve led GDPR- and ISO 27001-aware backend engineering: building microservices, running mission-critical Kubernetes on EKS with zero-downtime deployments, and creating secure data processing pipelines for sensitive datasets.

I also founded MatchATS, an AI-powered resume matching SaaS for HR professionals, and I bring that same mindset to work—shipping reliable systems with observability, output validation, guardrails, and cost-controlled AI features.

Experience

Work history, roles, and key accomplishments

Current

Senior Backend Engineer

Current

Myneva

Aug 2025 - Present (11 months)

Architected scalable Kotlin/Spring Boot microservices for EU healthcare applications with strict European regulatory and GDPR compliance. Designed mission-critical Kubernetes (EKS) infrastructure and GDPR-compliant data processing pipelines for public healthcare datasets.

Kotlin Spring Boot Microservices GDPR Compliance Kubernetes Service Mesh Zero Downtime Deployments Data Pipelines AWS CDK Lambda S3 RDS PostgreSQL MySQL Terraform Docker Gradle DynamoDB EventBridge Step Functions

Senior Backend Engineer

SNCF Connect

Jan 2024 - Aug 2024 (7 months)

Architected serverless Node.js/TypeScript microservices for real-time train booking and seat reservation at large scale. Migrated a legacy monolith to an event-driven architecture and built supporting infrastructure automation with monitoring and alerting.

Backend Software Engineer

Capgemini

Mar 2023 - Nov 2023 (8 months)

Worked on backend services using Java 17 and Spring Boot with Kafka-based integration and relational and cache data stores. Contributed to integration and unit testing using JUnit 5/Mockito and TestContainers, alongside GitLab CI/CD.

Spring Boot Spring Cloud Kafka PostgreSQL Redis Docker Junit Mockito Test Containers Kubernetes Gitlab CI Integration Testing Unit Testing

Full-Stack Developer

Capgemini

May 2021 - Jan 2023 (1 year 8 months)

Developed full-stack applications using Java/Spring Boot and Angular, including database integrations and containerized deployments. Applied TDD and delivered CI/CD automation with Maven/Gradle, Docker, Jenkins, and GitHub Actions/GitLab CI/CD.

Java 8 Spring Boot Spring Ecosystem Angular Docker Maven Gradle Jenkins GitHub Actions Gitlab CI CI CD

Backend Developer

Groupe Créative

Feb 2020 - May 2021 (1 year 3 months)

Built backend and full-stack features using Java, Quarkus/Spring Boot, and enterprise authentication/authorization integrations. Worked with frontend technologies and real-time communication and search/identity tooling in a containerized environment.

Next.js React Angular Java Quarkus Spring Boot Spring Security Keycloak PostgreSQL Docker WebSockets Elasticsearch LDAP Firebase

Junior Backend Developer

Capgemini

Oct 2018 - Dec 2019 (1 year 2 months)

Developed backend services in Java and Spring Boot, including caching/data-structure support and operational monitoring. Delivered unit-tested components using JUnit/Mockito and worked with containerized development setups.

Java Spring Boot Hazelcast Docker Junit Mockito

AI Integration Architect & Senior Backend

Teammeter

Architected an AI integration layer on Spring AI to generate skill suggestions, learning recommendations, growth-path analysis, and retrospective summaries. Built RAG pipelines with tenant-specific taxonomies and implemented structured outputs, tool calling, and LLM evaluation/guardrails for safe, validated, cost-controlled production behavior.

Spring AI Chat client Advisors RAG Pgvector Embeddings Semantic Search Structured Outputs Tool calling LLM Evaluation GuardRails PostgreSQL GDPR

Education

Degrees, certifications, and relevant coursework

University of Rennes

Master of Science in Computer Science, Computer Science

MSc in Computer Science focused on distributed systems and architecture. Built RAG pipelines and semantic search over tenant-specific skill taxonomies, including structured output generation and LLM evaluation/guardrails with GDPR-aware data residency constraints.

University of Poitiers

Bachelor of Science in Computer Science, Computer Science

BSc in Computer Science covering algorithms and data structures. Completed coursework involving applications of data-driven models and structured recommendations.