Integration & Eventing
Hire Apache Kafka Engineers
Kafka engineers who treat topic design, ordering and replay as decisions to be made rather than defaults to be inherited.
Most Kafka problems are decided on the day the topic is created and discovered a year later. Partition count and partition key together determine what is ordered relative to what — and ordering is a business question, not an infrastructure one. If events for one order can land on three partitions, they can be processed out of sequence, and a cancellation can be applied before the booking it cancels.
The second decision is delivery semantics. At-least-once is the sane default and it means consumers must be idempotent, because they will see the same event twice. Teams that assume exactly-once because the documentation mentions it, without enabling or understanding what it covers, end up with duplicates in a downstream system and no idea where they entered.
Schemas are the third, and the one that stops teams being able to deploy independently. Without a registry and an agreed compatibility mode, adding a field becomes a coordinated release across every consumer — which is precisely the coupling the event spine was introduced to remove.
Then there is operating it. Consumer lag that nobody watches, a rebalance storm caused by a slow consumer inside the poll interval, retention set to a week when the replay you eventually need is from a month ago. We staff people who have been on call for a stream, because that is where these lessons come from.
What these engineers do
- Topic, partition and key design driven by the ordering the business actually needs
- Consumer groups, offsets, rebalancing and what happens when a consumer dies mid-batch
- Schema Registry and the compatibility rules that keep producers and consumers deployable
- Kafka Connect, Streams and change data capture into and out of existing systems
- Retention, compaction and replay as a supported operation rather than an emergency
Delivered AI-first
Engineers use AI assistance to map existing topics and consumers, draft schema and connector configuration, and generate test harnesses for consumer failure paths. Decisions about ordering, keys and delivery semantics are made by a person who can explain them.