11/04/2026 updated


100 % available
Senior Software Engineer | Software Architecture | Release Management
Bucharest, Romania
Worldwide
B.Sc. Economic Informatics, Bucharest University of Economic Studies (2018-2021)About me
Senior Software Engineer specializing in Java, Spring Boot, cloud architecture, and distributed systems. Experienced in building scalable SaaS platforms, enterprise integrations, and AI-powered solutions, from architecture and design to production delivery.
AI AgentsLLMJava (Programming Language)SAP Sybase ASEApplications ArchitectureApplication Lifecycle ManagementClient Server ModelsCloud EngineeringData ArchitectureEnterprise Architecture FrameworkJava ArchitecturesSage ERPSoftware Product ManagementRelease EngineeringSAP SCM
Java & Spring Boot Backend Development
Extensive expertise in building enterprise and SaaS applications using Java 21, Spring Boot, Spring Security, Hibernate, JPA and Quarkus. Strong foundation in designing robust, scalable backend systems from requirements through deployment and operational readiness.
Cloud & DevOps
Hands-on experience with cloud and container technologies including Docker, Kubernetes, Azure, Hetzner, Cloudflare, GitHub Actions, Jenkins and Argo CD. Proven track record in designing and delivering cloud-native applications with CI/CD pipelines and integration testing.
AI Engineering & LLM Orchestration
Practical knowledge in AI-enabled application development, covering LLM orchestration, MCP tool integration, context engineering, structured outputs, OpenAI APIs, embeddings, vector search and Google Document AI. Experience building intelligent workflows for enterprise use cases.
Software Architecture & Distributed Systems
Solid background in designing SaaS architectures, multi-tenancy solutions, distributed systems, REST APIs, OAuth2 and OIDC. Contribution to technical design and solution architecture across AI-enabled and distributed services.
Data & Messaging Technologies
Proficiency with relational and NoSQL databases including PostgreSQL, MySQL, SAP HANA, MongoDB and Redis, as well as messaging platforms such as Kafka and vector storage with pgvector.
Release Management & Quality Assurance
Experience in release planning, coordinating schedules, dependencies, deployment readiness and delivery across engineering teams. Skilled in integration testing, performance testing, CodeQL and Trivy.
Node.js & SAP HANA
Development of enterprise product functionality using Node.js and SAP HANA SQL, collaborating with Product Owners on solution design, implementation and application reliability.
Project & Program Management
Background in engineering and program management roles with responsibility for project planning, stakeholder coordination, customer communication, regulatory processes and delivery.
Extensive expertise in building enterprise and SaaS applications using Java 21, Spring Boot, Spring Security, Hibernate, JPA and Quarkus. Strong foundation in designing robust, scalable backend systems from requirements through deployment and operational readiness.
Cloud & DevOps
Hands-on experience with cloud and container technologies including Docker, Kubernetes, Azure, Hetzner, Cloudflare, GitHub Actions, Jenkins and Argo CD. Proven track record in designing and delivering cloud-native applications with CI/CD pipelines and integration testing.
AI Engineering & LLM Orchestration
Practical knowledge in AI-enabled application development, covering LLM orchestration, MCP tool integration, context engineering, structured outputs, OpenAI APIs, embeddings, vector search and Google Document AI. Experience building intelligent workflows for enterprise use cases.
Software Architecture & Distributed Systems
Solid background in designing SaaS architectures, multi-tenancy solutions, distributed systems, REST APIs, OAuth2 and OIDC. Contribution to technical design and solution architecture across AI-enabled and distributed services.
Data & Messaging Technologies
Proficiency with relational and NoSQL databases including PostgreSQL, MySQL, SAP HANA, MongoDB and Redis, as well as messaging platforms such as Kafka and vector storage with pgvector.
Release Management & Quality Assurance
Experience in release planning, coordinating schedules, dependencies, deployment readiness and delivery across engineering teams. Skilled in integration testing, performance testing, CodeQL and Trivy.
Node.js & SAP HANA
Development of enterprise product functionality using Node.js and SAP HANA SQL, collaborating with Product Owners on solution design, implementation and application reliability.
Project & Program Management
Background in engineering and program management roles with responsibility for project planning, stakeholder coordination, customer communication, regulatory processes and delivery.
Experience
Professional experience5 - 10 years
Freelancer since2023
Languages
EnglishFluentRomanianNative speaker
Project history
Design and development of the orchestration layer for a workforce management assistant, including LLM routing, MCP tool integration, dynamic context construction, memory and schema driven outputs. Building routing workflows that select appropriate prompt templates and MCP tools based on user intent. Contributing to software architecture and technical design across AI-enabled and distributed services.
Designed and built Basil, a SaaS ERP product for food manufacturers covering inventory, production, sales, invoicing and traceability. Defined the application architecture and production platform using Java 21, Spring Boot, PostgreSQL, Redis and containerized infrastructure. Owned technical decisions across application design, infrastructure, integrations and production operations, including document processing and semantic retrieval using Google Document AI, OpenAI embeddings and pgvector.
Designed and developed cloud applications using Java, Spring Boot, SQL and NoSQL databases, Azure, Kubernetes and Docker. Owned release planning activities, coordinating schedules, dependencies, deployment readiness and delivery across engineering teams. Worked with clients and internal stakeholders to clarify requirements, identify technical constraints and define implementation approaches.