Texas State Library and Archives Commision

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Senior Backend Engineer

Remote • Posted 6 hours ago • Updated 6 hours ago

Full Time

Remote

Fitment

Dice Job Match Score™

👾 Reticulating splines...

Job Details

Skills

Management
Customer Engagement
Use Cases
Telephony
Reliability Engineering
Automated Testing
Optimization
Cloud Computing
Python
Flask
Django
Microservices
Systems Design
Apache Kafka
RabbitMQ
IaaS
Amazon Web Services
Google Cloud
Google Cloud Platform
Microsoft Azure
Continuous Integration
Continuous Delivery
Terraform
Twilio
Orchestration
Workflow
Kubernetes
DevOps
Collaboration
Machine Learning (ML)
Artificial Intelligence
Real-time
Communication

Management
Customer Engagement
Use Cases
Telephony
Reliability Engineering
Automated Testing
Optimization
Cloud Computing
Python
Flask
Django
Microservices
Systems Design
Apache Kafka
RabbitMQ
IaaS
Amazon Web Services
Google Cloud
Google Cloud Platform
Microsoft Azure
Continuous Integration
Continuous Delivery
Terraform
Twilio
Orchestration
Workflow
Kubernetes
DevOps
Collaboration
Machine Learning (ML)
Artificial Intelligence
Real-time
Communication

Summary

Job Title: Senior Backend Engineer

Location: United States (Remote)
Type: Full-Time | Direct Hire
About the Company

We are transforming the future of customer engagement with cutting-edge voice AI solutions. Our intelligent voice platform enables businesses to automate and scale lifelike, real-time conversations tailored to a variety of use cases. Trusted by millions and backed by top-tier investors, we're rapidly expanding and on a mission to power billions of voice interactions across the globe.
Role Overview

We're seeking a Senior Backend Engineer to help build and scale the backend infrastructure that powers our AI-driven voice technology. You'll be designing performant APIs, architecting microservices, and collaborating across teams to integrate with machine learning and voice systems.

If you're passionate about solving complex technical challenges, scaling real-time systems, and building products that impact millions - we want to hear from you.
Key Responsibilities

Design, develop, and maintain scalable, low-latency backend systems for AI-powered voice applications.
Build robust REST/gRPC APIs and microservices using modern backend frameworks.
Collaborate with cross-functional teams to integrate ML, speech, and telephony technologies.
Ensure high system reliability through automated testing, monitoring, and CI/CD pipelines.
Contribute to infrastructure planning, deployment, and optimization across cloud platforms.
Participate in code reviews, system design discussions, and architecture decisions.

Required Qualifications

Strong proficiency in Python and experience with backend frameworks such as FastAPI, Flask, or Django.
Solid understanding of microservices architecture and distributed backend systems.
Knowledge of system design, event-driven/asynchronous architectures, and queuing systems (e.g., Kafka, RabbitMQ).
Hands-on experience with cloud infrastructure (AWS, Google Cloud Platform, or Azure).
Experience with CI/CD tools, monitoring systems, and infrastructure-as-code (e.g., Terraform, Pulumi).
Excellent communication skills and ability to work in a collaborative, fast-paced, product-focused environment.

Preferred (Nice-to-Have)

Familiarity with voice or LLM-powered systems (e.g., STT, TTS, WebRTC, Twilio, LiveKit).
Experience in ML pipeline orchestration or inference workflows.
Proficiency in containerization, Kubernetes, and modern DevOps practices.
Previous collaboration with ML engineers on deployment, monitoring, or observability.

Why Join Us?

Build mission-critical products that impact millions of users worldwide.
Work with cutting-edge voice AI and real-time automation technologies.
Be part of a high-growth, venture-backed company shaping the future of communication.
Fully remote role with flexibility and a supportive, collaborative team culture..

Additional Details

Must be based in the United States and authorized to work without sponsorship (Permanent Residents only).
Must be able to align with Mountain Standard Time (MST) working hours.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 80183517
Position Id: 4e2615f6138ed36d6848586205df0159
Posted 6 hours ago

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