Responsibilities
End-to-end design, development and ownership of critical back-end services, from architecture to production.
Participate in system design and architecture planning, for optimal software performance, scalability and reliability.
Solve complex engineering problems: distributed state, concurrency, tail latency, fault tolerance and high-throughput pipelines.
Debug production issues end-to-end across services: gRPC channel churn, DNS/ASG failover, Redis queue backpressure, worker saturation and memory fragmentation.
Design and maintain solver logic for complex visual challenges: image grids, drag-and-drop, object detection and browser automation.
Build and optimize pipelines integrating OpenAI reasoning, computer-vision inference, Redis Streams, MongoDB session tracking and S3 screenshot archival.
Take on independent responsibilities, while contributing to the team's collective goals.
Actively learn, adapt and stay up-to-date with the evolving tech landscape, including best practices.
At least 3 years of hands-on experience in software development / engineering, with a strong focus on back-end systems.
Strong engineering fundamentals: algorithms, data structures, concurrency, distributed systems and performance analysis.
In-depth understanding of network protocols and security, including TCP/IP, DNS, HTTP, HTTPS, CORS, WebSockets and gRPC.
Proficient in system design and architecture to ensure product functionality, performance, scalability, and reliability.
Track record of debugging and fixing hard production issues across multiple services or languages.
Fast learner, able to work independently and as a team player.
Fluent in English, with excellent communication skills.
