Software Development Engineer - II

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.
• Strong hands-on proficiency in both Go and Node.js, with working knowledge of TypeScript.
• Practical experience with Kafka or Redpanda and asynchronous, distributed processing.

• Hands-on experience with:

• ClickHouse: analytical queries, event data and query optimization.
• MongoDB: document modelling, indexing and performance.
• PostgreSQL/Amazon RDS: relational modelling, transactions and query tuning.
• Redis: caching, expiry, coordination and queue-backed workloads.

• AWS: deploying, operating and troubleshooting backend services.

• Strong understanding of concurrency, distributed systems, API design and fault tolerance.
• Experience building reliable background jobs and workers; familiarity with Bull/BullMQ or equivalent.
• Strong production debugging skills, including diagnosing consumer lag, slow queries, latency spikes and resource bottlenecks.
• Ability to write maintainable code, meaningful tests and clear technical designs.
• Ownership of outcomes—from design through production—not just implementation.

AI-native Engineering And Product Experience

• Use AI development tools effectively for coding, testing, refactoring and investigation, with disciplined review and verification.
• Experience building an AI/LLM-powered product or a meaningful working prototype is a strong plus.
• Be able to discuss your own contribution, architecture, model choices, evaluation approach, failure cases, latency and cost.
• Familiarity with structured outputs, tool/function calling, retrieval/RAG, agent workflows and safe access to data or actions is valuable.
• Understand how to protect sensitive information and avoid blindly trusting generated code or model responses.

Good to have

• Experience with NestJS, Fastify or Express.
• Experience with Elasticsearch or ScyllaDB/Cassandra.
• Familiarity with OpenTelemetry, distributed tracing and production monitoring.
• Experience with AWS services such as SQS, Lambda and S3.
• Experience with multi-tenant SaaS, customer-data platforms, messaging systems or Shopify integrations.
• Familiarity with MCP, AI tooling integrations, ETL/orchestration, containers and CI/CD.

Show Us What You’ve Built If you’ve built an AI/LLM product, we’d love to see a demo. Share a working demo, a short screen recording or a repository you’re permitted to share.

Walk Us Through

• The problem it solves and what you personally built.
• How the system works beyond the model API call.
• How you…