About The Role

We’re looking for two AI-native SDE-II Engineers who have built and operated high-scale backend systems and are hands-on with both Go and Node.js.

You’ll build services for customer engagement, messaging, campaigns, automation and customer-data processing. You should be comfortable owning distributed systems in production and using AI to improve engineering speed without compromising correctness, security or reliability.

For us, AI-native means more than using a coding assistant: you can frame problems, use AI effectively, validate its output and take full ownership of what ships.

What You’ll Do

• Design, build and operate backend services using Go and Node.js/TypeScript.
• Build high-throughput event-driven systems with Kafka/Redpanda, including partitioning, consumer groups, ordering, retries, idempotency, replay and backpressure.
• Develop reliable messaging, campaign execution and automation services with queues, scheduling, rate limiting and failure recovery.
• Build resilient APIs and webhook integrations that handle duplicate events,



out-of-order delivery and third-party failures.
• Design data models and optimize workloads across ClickHouse, MongoDB, PostgreSQL/Amazon RDS and Redis.
• Work on customer-event ingestion, identity resolution, segmentation and analytical pipelines.
• Build and operate services on AWS, with attention to performance, availability and infrastructure cost.
• Own production quality through automated tests, safe deployments, metrics, logs, traces and incident resolution.
• Use AI-assisted engineering for implementation, testing, debugging and documentation—and independently verify the results.
• Contribute to AI/LLM-powered capabilities with appropriate evaluation, security and operational safeguards.

What We’re Looking For

• Demonstrated experience building and operating high-scale production systems. Be ready to explain the scale you handled, bottlenecks you solved and trade-offs you made.
• Solid hands-on prof

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