Backend Engineer focused on high-throughput distributed systems, event-driven pipelines, and transactional infrastructure.
- Distributed Ledger & Transaction Processing: Designing fault-tolerant pipelines, idempotent transactional outbox patterns, and high-concurrency event brokers.
- Low-Latency & Runtimes: Mechanical sympathy, zero-allocation data paths, cache-line efficiency, and performance profiling across modern Java (21+).
- Data Stores & Reliability: Distributed consensus, horizontal scaling, partition management, and transactional guarantees across relational and distributed databases.
- Languages: Java (21+), Go, Kotlin, SQL
- Frameworks & Core Tools: Spring Boot, Micronaut, GraalVM Polyglot, Quarkus
- Event Streaming & Concurrency: Apache Kafka, LMAX Disruptor, Apache Iggy
- Databases & Cache: CockroachDB, PostgreSQL, ScyllaDB, Redis, DynamoDB
- Infra & Platforms: Kubernetes, Docker, Helm, ArgoCD, Kubernetes