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CV -- Jordan Rivera

Location: Berlin, Germany Email: jordan@example.com LinkedIn: linkedin.com/in/jordanrivera Portfolio: jordanrivera.dev GitHub: github.com/jordanrivera

Professional Summary

Backend engineer with 7 years designing and operating high-throughput services. Owned core payment and ledger APIs at a growth-stage marketplace (2019-2024), cutting p99 latency by 40% and hardening reliability to 99.95% monthly availability. Strong in Go and PostgreSQL, event-driven architecture, and pragmatic observability.

Work Experience

MarketHub GmbH -- Berlin, Germany

Staff Backend Engineer 2019-2024

  • Led redesign of order and payment APIs (Go, gRPC): idempotency, outbox pattern, and saga-style compensations for partial failures
  • Migrated monolithic checkout path to event-driven flow (Kafka): reduced blast radius during incidents and improved deploy frequency from weekly to daily
  • Drove database work: partitioning hot tables, read replicas for reporting, and migration playbook with zero-downtime cutovers
  • Introduced SLOs, error budgets, and on-call runbooks; cut incident MTTR by roughly half through better dashboards and tracing (OpenTelemetry)
  • Mentored 4 engineers on API design, testing strategy, and production debugging

CloudScale Ltd -- Remote

Backend Engineer 2016-2019

  • Built REST and internal admin APIs (Node.js → later Go) for a multi-tenant SaaS product
  • Implemented caching layer (Redis) and rate limiting; supported 10x traffic growth without linear cost increase
  • Participated in on-call rotation and postmortems; contributed to CI pipeline and staging parity improvements

Projects

  • ledger-kit (Open Source) -- Small library for double-entry ledger invariants and test fixtures. Used in workshops on financial correctness
  • trace-cookbook (Blog series) -- Practical patterns for correlating logs, metrics, and traces in Go services

Education

  • BS Software Engineering, TU Berlin (2016)

Skills

  • Backend: Go, Node.js (TypeScript), REST, gRPC, GraphQL (consumption)
  • Data: PostgreSQL, Redis, Kafka, Elasticsearch basics
  • Ops: Kubernetes, Docker, Terraform, GitHub Actions, Prometheus, Grafana
  • Practices: DDD boundaries, testing (unit/integration/contract), SRE-style on-call