About the role
We're looking for a highly skilled Staff Backend Engineer to design and build robust, scalable, and secure distributed systems. As a critical member of our engineering team, you'll use your expertise in Python to build cloud-native applications that power our core services. We currently operate in an AWS environment, and the core need is strong distributed systems and backend fundamentals.
Key Responsibilities
* Build backend logic for event-driven systems using message queues and pub/sub services, with strong data processing and file-handling logic. * Manage concurrent tasks efficiently in distributed environments using asynchronous programming techniques. * Design and implement data processing pipelines across cloud storage, compute, and database services. * Optimize applications for performance and scalability through caching, async calls, and latency reduction. * Design and develop serverless applications and RESTful APIs using Flask or FastAPI. * Follow cloud security best practices (IAM, encryption, network isolation), and implement authentication mechanisms (OAuth, JWT, or managed identity services).
Skills, Knowledge and Expertise
Must-Have Skills
* 5+ years of hands-on Python backend development experience, with solid exposure to cloud-native or serverless solutions (AWS preferred). * Proven experience with distributed systems concepts — event-driven architecture, message queues, and scalable data pipelines. * Hands-on experience with asynchronous and concurrent programming. * Strong testing and debugging skills across distributed architectures.
Nice-to-Have
* Exposure to GenAI tooling or LLM-based systems, particularly RAG or agentic RAG architectures, is a plus. * Experience integrating LLM APIs into backend services or workflows. * Familiarity with vector databases and embedding-based search.
Soft Skills
* Builder mindset: thrives on writing, debugging, and improving production code. * Collaborative, humble, and open to feedback. * Strong communicator who explains design decisions clearly. * Influences through contribution, not hierarchy.
Originally posted on Himalayas