Staff Backend Engineer

Emumba

. Build backend logic for event-driven systems using message queues and pub/sub services, with strong data processing and file-handling logic .

Posted 10/23/2026full-timeRemote • Texas • United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in Python backend development, focusing on building event-driven systems and serverless applications. Proficient in designing data processing pipelines and optimizing application performance in cloud environments, particularly AWS.

Highest-signal resume keywords

Python Backend DevelopmentEvent-Driven ArchitectureAsynchronous ProgrammingCloud Security Best PracticesRESTful API Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ProcessingFile HandlingCaching TechniquesTesting and DebuggingDistributed SystemsMessage QueuesServerless ApplicationsFlaskFastAPIOAuth

Soft Skills

Strong CommunicationCollaborative MindsetOpen to FeedbackBuilder Mindset

Tools & Technologies

AWSIAMJWTGenAI ToolingVector DatabasesEmbedding-Based Search

Industry Keywords

Cloud-Native SolutionsScalable Data PipelinesDistributed EnvironmentsLatency ReductionNetwork Isolation

Tech Stack

Tools & technologies

AWSCloudDistributed SystemsFlaskPython

About the role

Key responsibilities & impact

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, including IAM, encryption, and network isolation
Implement authentication mechanisms using OAuth, JWT, or managed identity services

Requirements

What you’ll need

5+ years of hands-on Python backend development experience
Solid exposure to cloud-native or serverless solutions; AWS preferred
Proven experience with distributed systems concepts, including 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
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
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