We’re looking for a senior engineer with experience building reliable, scalable backend systems that operate under real-world constraints. This role focuses on system design, infrastructure scalability, and production automation.
Required Experience-
AI Experience
Experience integrating AI/LLMs into production systems
Using AI as part of decision-making or workflow orchestration (not research or demos)
Comfortable designing systems where AI output must be reliable and predictable
System Design-
Strong experience designing queue-based, asynchronous systems
Building step-based workflows with retries and partial failure handling
Comfortable reasoning about throughput, backpressure, and concurrency
Experience with state machines and idempotent operations
Infrastructure & Scalability-
Hands-on experience scaling backend systems under load
Designing worker-based services and background processing pipelines
Practical approach to scaling and reliability (no over-engineering)
Cloud Infrastructure-
Experience deploying and operating services on AWS or GCP
Familiarity with containerized workloads (Docker)
Experience with managed queues, background workers, and schedulers
APIs-
Designing and consuming APIs at scale
Handling rate limits, retries, and third-party failures gracefully
Building resilient integrations with external systems
Automation (Critical)-
Experience running browser-based automation in production
Familiarity with Playwright or Puppeteer
Experience dealing with flaky automation, timeouts, and failure recovery
Apply Now
Apply Now