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Backend Engineer

Job in Dallas, Dallas County, Texas, 75215, USA
Listing for: Emumba
Full Time position
Listed on 2026-10-26
Job specializations:
  • Software Development
    Backend Developer, Cloud Engineer - Software, Python
Salary/Wage Range or Industry Benchmark: 170000 - 210000 USD Yearly USD 170000.00 210000.00 YEAR
Job Description & How to Apply Below
Staff Backend Engineer

Department: Backend

Employment Type: Full Time

Location: USA

Description

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
  • 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.
  • 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.
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