Staff Backend Engineer

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.