15.07.2026 aktualisiert

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60 % teilweise verfügbar

Staff Backend Software Engineer

Nuremberg, Deutschland
Weltweit
BSc. Computer Science
Nuremberg, Deutschland
Weltweit
BSc. Computer Science

Profilanlagen

SEBASTIAN_ZUCCOLO_2026.pdf

Über mich

Backend and distributed systems engineer specializing in performance-critical Rust, low-latency trading systems and scalable platforms. I build reliable products from scratch and own architecture end to end, and create agentic AI applications that automate complex business and engineering workflows.

Skills

RustOpenTelemetryLokiDistributed ComputingEmbedded SoftwarePostgreSQLMySQLMQTTSoftware ArchitectureRabbitMQPrometheusTCP / IPWebSocketRust (Programming Language)GrafanaKubernetesApache KafkaGraphQLRestful ApisgRPC
I am a backend and distributed systems engineer specializing in Rust, high-performance services, and platforms that need to remain correct, observable, and reliable as they scale.
I design and implement performance-critical systems, including low-latency financial microservices and greenfield trading-engine components connecting TradFi and cryptocurrency markets. My work focuses on predictable latency, transactional correctness, concurrency, throughput, and operational resilience. I am comfortable working close to the metal while making pragmatic architectural tradeoffs that help teams ship.
I have experience with distributed architectures built around Rust, Kafka, gRPC, GraphQL, MQTT, PostgreSQL, ClickHouse, Kubernetes, event-driven messaging, and horizontally scalable microservices. At BACE, where I worked as a Founding Engineer, I architected core platform, reservation, and IoT systems that handled 1,500+ requests per second with sub-200 ms p99 latency. I also built secure device runtimes, mTLS-based device provisioning, replicated databases, disaster recovery, observability, and self-hosted cloud infrastructure.
My value goes beyond implementing isolated services. I can take ownership of a backend or product: translating an ambiguous business idea into architecture, choosing the stack, establishing development standards, building the first production version, operating it, integrating partners, and helping grow the engineering team. I understand startup constraints and balance speed, reliability, cost, and maintainability accordingly.
I also build agentic AI applications and automation workflows. I have developed AI-driven products, connected engineering systems through MCP, established repository-wide AI context and rules, and built pipelines that automate feature prototyping, support workflows, software delivery, and code review. I approach AI as an engineering capability: grounded in reliable tools, structured context, controlled execution, observability, and measurable business outcomes.
I am a strong fit for projects involving Rust, trading infrastructure, distributed systems, backend modernization, high-throughput event processing, cloud-native architecture, Kubernetes, IoT/edge platforms, technical founding, and AI-powered automation. I can contribute as a senior engineer, platform architect, consultant, or founding technical partner.

Erfahrung

Berufserfahrung5 - 10 Jahre
Freelancer seit2019

Sprachen

DeutschMutterspracheEnglischMutterspracheItalienischMuttersprache

Projekthistorie

Senior Software Engineer

Undisclosed (Fintech)

Banken und Finanzdienstleistungen

1000-5000 Mitarbeiter

  1. Engineer high-performance financial microservices in Rust for a globally distributed system, facilitating seamless, high-volume transactions between Traditional Finance (TradFi) and cryptocurrency markets.
  2. Architect and implement critical components for a greenfield trading engine, optimizing for ultra-low latency, strict transactional correctness, and the ability to scale to millions of global users.
  3. Develop within a massive-scale microservices ecosystem, integrating deeply with Kafka for high-throughput, globally replicated event streaming and gRPC for highly performant inter-service communication.

Founding Engineer

BACE Gmbh

Transport und Logistik

< 10 Mitarbeiter


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