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Added SLO-based alerting and rewrote the top runbooks; paging volume fell 65% in a quarter.

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Proof of work

2022

Cut incident rate 45% with SLOs + runbooks

The system was buckling under growth and the old design had run out of room — every fix bought weeks rather than quarters, and the next step up in traffic would have broken it outright. I owned the redesign end to end: the tradeoffs, the migration path, and a rollout that kept old and new live until the cutover was boring.

Added SLO-based alerting and rewrote the top runbooks; paging volume fell 65% in a quarter.

DockerPostgreSQL
2024

Cut CI feedback time 4x, unblocking the team

A third-party dependency in the middle of a critical path went down and took us with it, because we had quietly trusted it never would. I made the system survive its dependencies — timeouts, fallbacks, and circuit breakers that turned an outage into a degradation nobody outside even noticed.

Parallelized and cached the build; PR feedback that used to take the afternoon now lands in minutes.

MicroservicesAWSPython
2026

Scaled the ingest pipeline to 20k events/sec

The codebase carried a decade of shortcuts, and every change touched three things nobody had written down, so estimates were fiction. I paid down the debt that actually blocked us — carved clean seams, wrote the missing tests first, and made the scary changes routine.

Sharded the pipeline and tuned batching; throughput held at 6k events/sec at steady state.

PythonNode.jsLinuxAWS
2020

Absorbed a 3x launch spike with autoscaling

The database had become the whole company's single point of failure, where one team's slow query was everyone else's outage. I put boundaries around it — read replicas, a caching layer with honest invalidation, and the query budgets that stopped one team from taking down the rest.

Load-tested to the real ceiling and tuned autoscaling; a 2x traffic spike scaled cleanly with headroom to spare.

DockerKafkaNode.js
2022

Recovered a corrupted ledger with no data loss

Deploys were a held-breath event only a couple of people knew how to do safely, so releases bunched up and got riskier the longer we waited. I made shipping boring — automated the pipeline, put the guardrails in code, and handed the whole team a button they could trust at 5pm on a Friday.

Replayed the write-ahead log and reconciled balances; zero customer-visible discrepancies.

RedisKafkaNode.js

Sweat the boring details so the experience feels effortless.

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Practical bits

Timezones
Europe/AfricaAmericas East
Location
Spain
Languages
Norwegian
Domains
Insurance, HR Tech, Sports & Fitness
Employment
Contract · Full-time
Annual salary
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